retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=190&ordering=-event__url_online_room
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
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            "id": 71918,
            "title": "Brain-wide representations of olfactory behavior in C. elegans",
            "slug": "brain-wide-representations-of-olfactory-behavior-i",
            "event_url": "https://memento.epfl.ch/event/brain-wide-representations-of-olfactory-behavior-i",
            "visual_url": "https://memento.epfl.ch/image/33235/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33235/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33235/max-size.jpg",
            "lang": "en",
            "start_date": "2026-06-08",
            "end_date": "2026-06-08",
            "start_time": "14:30:00",
            "end_time": "15:30:00",
            "description": "<p>Abstract:<br>\r\nOlfactory navigation emerges from dynamic interactions among sensory input, brain activity, and the animal’s own movements. In C. elegans, a compact nervous system enables brain-wide imaging in behaving animals exposed to controlled olfactory environments, and undulatory locomotion reduces navigation to transitions among forward runs, reversals, and turns. Here, we used brain-wide tracking microscopy to record neural activity in freely crawling worms navigating spatial odor gradients or isotropic environments, and in immobilized worms responding to temporal odor pulses. Across conditions, we identified strongly correlated brain-wide activity patterns spanning olfactory sensory neurons, interneurons, and premotor neurons. Motor-state transitions and brain-wide correlation structure differed between freely moving and immobilized animals, demonstrating that olfactory sensory representations depend jointly on sensory input, motor activity, and behavioral context. Together, these findings show that brain-wide representations of olfactory behavior are extensively reconfigured by sensory input, self-motion, and behavioral context.<br>\r\n </p>",
            "image_description": "",
            "creation_date": "2026-05-21T13:36:09",
            "last_modification_date": "2026-05-21T13:36:09",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "GA 3 21",
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            "url_online_room": "",
            "spoken_languages": [
                "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api"
            ],
            "speaker": "Prof. Aravinthan Samuel &lt;[email protected]&gt;\r\n\r\nDepartment of Physics &amp; Center for Brain Science, Harvard University",
            "organizer": "Prof. Sahand Jamal Rahi &lt;[email protected]&gt;\r\n\r\nJohanni Brea &lt;[email protected]&gt;",
            "contact": "Prof. Sahand Jamal Rahi &lt;[email protected]&gt;\r\n\r\nJohanni Brea &lt;[email protected]&gt;",
            "is_internal": "False",
            "theme": "",
            "vulgarization": {
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                "id": 1,
                "fr_label": "Sur inscription",
                "en_label": "Registration required"
            },
            "keywords": "",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120823/",
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                "id": 1,
                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
                "en_label": "Conferences - Seminars",
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            "id": 71920,
            "title": "Engineering dynamic behaviors in computationally designed proteins",
            "slug": "engineering-dynamic-behaviors-in-computationally-2",
            "event_url": "https://memento.epfl.ch/event/engineering-dynamic-behaviors-in-computationally-2",
            "visual_url": "https://memento.epfl.ch/image/33237/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33237/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33237/max-size.jpg",
            "lang": "en",
            "start_date": "2026-07-03",
            "end_date": "2026-07-03",
            "start_time": "17:00:00",
            "end_time": null,
            "description": "<p>Thesis Director: Prof. B. E. Ferreira De Sousa Correia,<br>\r\nChemistry and Chemical Engineering doctoral program<br>\r\nThesis Nr. 11408<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
            "image_description": "",
            "creation_date": "2026-05-21T15:42:42",
            "last_modification_date": "2026-05-21T15:42:44",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "MXF 010",
            "url_place_and_room": "https://plan.epfl.ch/?room==MXF%20010",
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            "spoken_languages": [],
            "speaker": "<a href=\"mailto:[email protected]\"><strong>Maddalena ELIA</strong></a>",
            "organizer": "",
            "contact": "<a href=\"mailto:[email protected]\"><strong>Maddalena ELIA</strong></a><br>\r\n ",
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                "en_label": "General public"
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                "fr_label": "Entrée libre",
                "en_label": "Free"
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            "keywords": "EDCH",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120826/",
            "category": {
                "id": 12,
                "code": "SOUTE",
                "fr_label": "Soutenances de thèses",
                "en_label": "Thesis defenses",
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        {
            "id": 71922,
            "title": "U.S. CDMRP – Alzheimer's Research Program | Research Funding",
            "slug": "us-cdmrp-alzheimer-s-research-program-research-fun",
            "event_url": "https://memento.epfl.ch/event/us-cdmrp-alzheimer-s-research-program-research-fun",
            "visual_url": "https://memento.epfl.ch/image/33239/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33239/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33239/max-size.jpg",
            "lang": "en",
            "start_date": "2026-06-22",
            "end_date": "2026-06-22",
            "start_time": null,
            "end_time": null,
            "description": "<strong>Aim</strong>: Through the Congressionally Directed Medical Research Program (CDMRP), the Department of Defense is announcing the 2026 <strong>Alzheimer's Research Program (AZRP) </strong>Awards. Several award programs are available:\r\n<ul>\r\n\t<li>The <strong>Transforming Care Award </strong>aims to support well-designed, non-incremental clinical research that develops and implements interventions, innovations, and solutions to address critical challenges in dementia care. Projects should lead to improved quality of life, reduced caregiver burden and stress, and enhanced care delivery and outcomes for individuals living with AD/ADRD.</li>\r\n\t<li>The <strong>Transforming Diagnosis Award </strong>supports non-incremental, solution-oriented research that addresses critical barriers to timely and accurate diagnosis, disease monitoring, and prognosis in AD/ADRD. Projects should demonstrate clear potential to improve accessibility, clinical implementation, and the reliability of diagnostic and prognostic approaches.</li>\r\n\t<li>The <strong>Transforming Research Award </strong>supports non-incremental, high-impact research that aims to drive transformative advances in reducing risk and preventing the development of AD/ADRD. Projects should demonstrate strong potential to accelerate prevention strategies and deliver meaningful improvements in patient outcomes and quality of life.<strong> </strong>All projects must respond to one of the focus areas listed <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36241238&amp;fileType=pdf\">here</a>.</li>\r\n</ul>\r\n<strong>Funding</strong>:\r\n\r\n<ul>\r\n\t<li>Transforming Care Award: $1.6M - $1.9M</li>\r\n\t<li>Transforming Diagnosis Award: $1.5M - $1.7M</li>\r\n\t<li>Transforming Research Award: max. $1M</li>\r\n</ul>\r\n<br>\r\n<sub>Note: Cost caps are <strong>total costs (direct plus indirect costs). </strong>In accordance with EPFL guidelines, budgets should include a 20% overhead, and the total budget must remain within the grant’s maximum allowable funding</sub><br>\r\n<br>\r\n<br>\r\n<strong>Duration</strong>:   \r\n\r\n<ul>\r\n\t<li>Transforming Care Award: 4 years</li>\r\n\t<li>Transforming Diagnosis Award: 4 years</li>\r\n\t<li>Transforming Research Award: 3 years</li>\r\n</ul>\r\n<strong>Eligibility: </strong>Applicants from international organizations or institutions are eligible to apply, and there are no citizenship restrictions. Program-specific seniority levels and eligibility criteria are further defined within each award mechanism <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36243245&amp;fileType=pdf\">here</a>.<br>\r\n<br>\r\n<strong>How to Apply</strong>: Pre-applications are submitted through the <a href=\"https://ebrap.org/eBRAP/public/index.htm\">eBRAP platform</a>. They should contain contact information, a letter of intent, and a list of collaborators and key personnel as suggested on the platform. Full applications will be made via a Grants.gov workspace.<br>\r\n<br>\r\n<strong>Pre-Application Deadline: 22 June 2026, </strong>5:00 p.m. Eastern time<br>\r\n<strong>Full Application Deadline</strong>: <strong>24 September 2026</strong>, 11:59 p.m Eastern Time<br>\r\n<br>\r\n<strong>Further information:</strong>\r\n\r\n<ul>\r\n\t<li>To find the full program announcements and to start your pre-application see <a href=\"https://ebrap.org/eBRAP/public/ProgramFY.htm?programFYId=719106\">here</a></li>\r\n\t<li>A useful summary of each call can be found <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36243245&amp;fileType=pdf\">here</a></li>\r\n\t<li>For questions about the eBRAP or Grants.gov platforms, contact the <a href=\"mailto:[email protected]\">Research Office</a></li>\r\n\t<li>Grants.gov Funding Opportunity Numbers:\r\n\t<ul>\r\n\t\t<li>Transforming Care Award: <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36241229&amp;fileType=pdf\">HT942526AZRPTRCA</a></li>\r\n\t\t<li>Transforming Diagnosis Award: <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36241231&amp;fileType=pdf\">HT942526AZRPTRDA</a></li>\r\n\t\t<li>Transforming Research Award: <a href=\"https://ebrap.org/eBRAP/public/ViewFile.htm?fileId=36241238&amp;fileType=pdf\">HT942526AZRPTRRA</a></li>\r\n\t</ul>\r\n\t</li>\r\n</ul>",
            "image_description": "",
            "creation_date": "2026-05-21T16:12:42",
            "last_modification_date": "2026-05-21T16:12:42",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "",
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            "url_online_room": "",
            "spoken_languages": [
                "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api"
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            "speaker": "",
            "organizer": "",
            "contact": "<a href=\"mailto:[email protected]\">Research Office</a>",
            "is_internal": "False",
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                "en_label": "General public"
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                "fr_label": "Entrée libre",
                "en_label": "Free"
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            "keywords": "",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120829/",
            "category": {
                "id": 16,
                "code": "PROP",
                "fr_label": "Appel à proposition",
                "en_label": "Call for proposal",
                "activated": true
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            "academic_calendar_category": null,
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        {
            "id": 71925,
            "title": "Workshop series “Responsible AI skills for education”",
            "slug": "workshop-series-responsible-ai-skills-for-educatio",
            "event_url": "https://memento.epfl.ch/event/workshop-series-responsible-ai-skills-for-educatio",
            "visual_url": "https://memento.epfl.ch/image/33241/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33241/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33241/max-size.jpg",
            "lang": "en",
            "start_date": "2026-06-02",
            "end_date": "2026-06-02",
            "start_time": "11:00:00",
            "end_time": "12:00:00",
            "description": "<p>Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.<br>\r\nIn our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills you can develop for your everyday practice. Through a blend of concise theoretical input and hands-on activities, we will explore both the benefits and the risks of generative AI in education in short 1-hour sessions on campus. The first two workshops in the series focus on quiz design and critical analysis skills.<br>\r\n<br>\r\n<strong>Effective quiz design:</strong><br>\r\nIn this 1-hour workshop, we will focus on the design of effective quiz questions for your class with the assistance of LLM tools. We will explore both the ethical and practical questions associated with LLM use for this task through theoretical inputs and hands-on activities.</p>",
            "image_description": "human vs ai",
            "creation_date": "2026-05-22T09:29:28",
            "last_modification_date": "2026-05-22T09:37:05",
            "link_label": "BookWhen",
            "link_url": "https://bookwhen.com/epfl",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "On Campus",
            "url_place_and_room": "",
            "url_online_room": "",
            "spoken_languages": [
                "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api"
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            "speaker": "Center for Digital Education (CEDE)",
            "organizer": "Center for Digital Education (CEDE)",
            "contact": "Cécile Hardebolle: [email protected]",
            "is_internal": "True",
            "theme": "",
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                "en_label": "Informed public"
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                "fr_label": "Entrée libre",
                "en_label": "Free"
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            "keywords": "Responsible AI, Education, Quiz, Critical Analysis, Skills",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120832/",
            "category": {
                "id": 15,
                "code": "FORM",
                "fr_label": "Formations internes",
                "en_label": "Internal trainings",
                "activated": true
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                "https://memento.epfl.ch/api/v1/mementos/6/?format=api",
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                "https://memento.epfl.ch/api/v1/mementos/27/?format=api",
                "https://memento.epfl.ch/api/v1/mementos/65/?format=api",
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                "https://memento.epfl.ch/api/v1/mementos/432/?format=api"
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        {
            "id": 71926,
            "title": "Workshop series “Responsible AI skills for education”",
            "slug": "workshop-series-responsible-ai-skills-for-educat-2",
            "event_url": "https://memento.epfl.ch/event/workshop-series-responsible-ai-skills-for-educat-2",
            "visual_url": "https://memento.epfl.ch/image/33242/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33242/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33242/max-size.jpg",
            "lang": "en",
            "start_date": "2026-06-04",
            "end_date": "2026-06-04",
            "start_time": "13:00:00",
            "end_time": "14:00:00",
            "description": "<p>Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.<br>\r\nIn our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills you can develop for your everyday practice. Through a blend of concise theoretical input and hands-on activities, we will explore both the benefits and the risks of generative AI in education in short 1-hour sessions on campus. The first two workshops in the series focus on quiz design and critical analysis skills.<br>\r\n<br>\r\n<strong>Teaching critical analysis:</strong><br>\r\nIn this 1-hour workshop, we will focus on how to help students develop critical analysis skills for reviewing LLM outputs in the context of learning tasks. The workshop will combine theoretical inputs and hands-on activities, drawing on your disciplinary expertise and fact-checking strategies.<br>\r\n </p>",
            "image_description": "human vs ai",
            "creation_date": "2026-05-22T09:31:24",
            "last_modification_date": "2026-05-22T09:37:34",
            "link_label": "BookWhen",
            "link_url": "https://bookwhen.com/epfl",
            "canceled": "False",
            "cancel_reason": "",
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            "spoken_languages": [
                "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api"
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            "speaker": "Center for Digital Education (CEDE)",
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            "contact": "Cécile Hardebolle: [email protected]",
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                "fr_label": "Entrée libre",
                "en_label": "Free"
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            "keywords": "Responsible AI, Education, Quiz, Critical Analysis, Skills",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120833/",
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        {
            "id": 71927,
            "title": "Workshop series “Responsible AI skills for education”",
            "slug": "workshop-series-responsible-ai-skills-for-educat-3",
            "event_url": "https://memento.epfl.ch/event/workshop-series-responsible-ai-skills-for-educat-3",
            "visual_url": "https://memento.epfl.ch/image/33243/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33243/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33243/max-size.jpg",
            "lang": "en",
            "start_date": "2026-06-09",
            "end_date": "2026-06-09",
            "start_time": "10:00:00",
            "end_time": "11:00:00",
            "description": "<p>Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.<br>\r\nIn our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills you can develop for your everyday practice. Through a blend of concise theoretical input and hands-on activities, we will explore both the benefits and the risks of generative AI in education in short 1-hour sessions on campus. The first two workshops in the series focus on quiz design and critical analysis skills.<br>\r\n<br>\r\n<strong>Effective quiz design:</strong><br>\r\nIn this 1-hour workshop, we will focus on the design of effective quiz questions for your class with the assistance of LLM tools. We will explore both the ethical and practical questions associated with LLM use for this task through theoretical inputs and hands-on activities.<br>\r\n </p>",
            "image_description": "human vs ai",
            "creation_date": "2026-05-22T09:33:15",
            "last_modification_date": "2026-05-22T09:38:09",
            "link_label": "BookWhen",
            "link_url": "https://bookwhen.com/epfl",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "On Campus",
            "url_place_and_room": "",
            "url_online_room": "",
            "spoken_languages": [
                "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api"
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            "speaker": "Center for Digital Education (CEDE)",
            "organizer": "Center for Digital Education (CEDE)",
            "contact": "Cécile Hardebolle: [email protected]",
            "is_internal": "True",
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            },
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                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "Responsible AI, Education, Quiz, Critical Analysis, Skills",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120834/",
            "category": {
                "id": 15,
                "code": "FORM",
                "fr_label": "Formations internes",
                "en_label": "Internal trainings",
                "activated": true
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        },
        {
            "id": 71929,
            "title": "Workshop series “Responsible AI skills for education”",
            "slug": "workshop-series-responsible-ai-skills-for-educat-4",
            "event_url": "https://memento.epfl.ch/event/workshop-series-responsible-ai-skills-for-educat-4",
            "visual_url": "https://memento.epfl.ch/image/33244/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-18",
            "end_date": "2026-06-18",
            "start_time": "13:00:00",
            "end_time": "14:00:00",
            "description": "<p>Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.<br>\r\nIn our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills you can develop for your everyday practice. Through a blend of concise theoretical input and hands-on activities, we will explore both the benefits and the risks of generative AI in education in short 1-hour sessions on campus. The first two workshops in the series focus on quiz design and critical analysis skills.<br>\r\n<br>\r\n<strong>Teaching critical analysis:</strong><br>\r\nIn this 1-hour workshop, we will focus on how to help students develop critical analysis skills for reviewing LLM outputs in the context of learning tasks. The workshop will combine theoretical inputs and hands-on activities, drawing on your disciplinary expertise and fact-checking strategies.<br>\r\n </p>",
            "image_description": "human vs ai",
            "creation_date": "2026-05-22T09:34:28",
            "last_modification_date": "2026-05-22T09:36:08",
            "link_label": "BookWhen",
            "link_url": "https://bookwhen.com/epfl",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "On Campus",
            "url_place_and_room": "",
            "url_online_room": "",
            "spoken_languages": [
                "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api"
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            "speaker": "Center for Digital Education (CEDE)",
            "organizer": "Center for Digital Education (CEDE)",
            "contact": "Cécile Hardebolle: [email protected]",
            "is_internal": "True",
            "theme": "",
            "vulgarization": {
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                "fr_label": "Public averti",
                "en_label": "Informed public"
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                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "Responsible AI, Education, Quiz, Critical Analysis, Skills",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120836/",
            "category": {
                "id": 15,
                "code": "FORM",
                "fr_label": "Formations internes",
                "en_label": "Internal trainings",
                "activated": true
            },
            "academic_calendar_category": null,
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                "https://memento.epfl.ch/api/v1/mementos/8/?format=api",
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                "https://memento.epfl.ch/api/v1/mementos/27/?format=api"
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        },
        {
            "id": 71930,
            "title": "Generative models for black-box optimization of complex objectives",
            "slug": "generative-models-for-black-box-optimization-of-co",
            "event_url": "https://memento.epfl.ch/event/generative-models-for-black-box-optimization-of-co",
            "visual_url": null,
            "visual_large_url": null,
            "visual_maxsize_url": null,
            "lang": "en",
            "start_date": "2026-07-09",
            "end_date": "2026-07-09",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nicolas Flammarion<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Alexander Mathis<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nMany high-impact problems in science and engineering reduce to optimizing a complex objective, where each evaluation is costly and often unreliable: physical experiments fail, simulators diverge, and stochastic systems return noisy feedback. Classical black-box optimizers struggle in this regime, where evaluation budgets are tight and the feasible region is hard to characterize a priori. Our work investigates how the statistical expressivity of modern generative samplers can be leveraged in black-box optimization. We propose that these samplers enable efficient navigation of feasible sets and optimization of geometrically complex objectives under limited, unreliable observations. <br>\r\n<br>\r\nTwo complementary lines of work have already been studied. The main one, SPARROW, demonstrated that a sampler-driven optimizer can substantially reduce the number of function calls needed to maximize complex and unreliable objectives. A parallel line established that samplers can be steered to satisfy hard constraints without sacrificing the statistical diversity of the generated samples. Because SPARROW imposes minimal assumptions on the underlying sampler, these constrained samplers can drive it directly, opening a path to constrained black-box optimization.<br>\r\n<br>\r\nBuilding on these results, two directions are planned. The first is theoretical: a deeper mathematical study of sampler-driven optimization, drawing on the broader literature on sample-efficient black-box optimization, in order to derive stronger guarantees and more efficient algorithms. The second is applied: applying the methods to concrete domains and exploiting the structure those domains expose to sharpen performance beyond what a pure black-box treatment can achieve.<br>\r\n<br>\r\nThe applications of low-budget black-box optimization are diverse, including engineering design (e.g. aerodynamic shape optimization, mechanical components), scientific discovery (e.g. protein and molecule design under synthesizability and stability constraints), and the safety and security of opaque ML systems (e.g. query-efficient adversarial probing, red-teaming of black-box models).<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n ",
            "image_description": "",
            "creation_date": "2026-05-22T12:53:32",
            "last_modification_date": "2026-05-22T13:09:04",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BC 333",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20333",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "Edouard Dufour",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
            "vulgarization": {
                "id": 1,
                "fr_label": "Tout public",
                "en_label": "General public"
            },
            "registration": {
                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "EDIC candidacy exam",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120837/",
            "category": {
                "id": 1,
                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
                "en_label": "Conferences - Seminars",
                "activated": true
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            "academic_calendar_category": null,
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                "https://memento.epfl.ch/api/v1/mementos/27/?format=api"
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        },
        {
            "id": 71931,
            "title": "Access Bit Scanning for Page Replacement Policies",
            "slug": "access-bit-scanning-for-page-replacement-policies",
            "event_url": "https://memento.epfl.ch/event/access-bit-scanning-for-page-replacement-policies",
            "visual_url": null,
            "visual_large_url": null,
            "visual_maxsize_url": null,
            "lang": "en",
            "start_date": "2026-06-22",
            "end_date": "2026-06-22",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Thomas Bourgeat<br>\r\nThesis advisor: Prof. Babak Falsafi<br>\r\nCo-examiner: Prof. Sanidhya Kashyap<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nModern workloads with memory footprints ranging from hundreds of gigabytes to several terabytes have become widespread over the last decade. With memory accounting for nearly 50% of server costs in modern data centres, provisioning large DRAM capacities significantly increases total cost of ownership (TCO). Tiered memory architectures combine memories with different capacities, latencies, and cost characteristics to improve cost efficiency while satisfying application performance requirements. Application performance in these architectures is highly sensitive to page placement decisions. Consequently, making informed placement decisions requires precise tracking of data access patterns and accurate identification of hot pages.<br>\r\n<br>\r\nExisting operating systems commonly rely on hardware-maintained access bits in page table entries to estimate memory access behaviour and identify hot data regions. They periodically scan the application's entire virtual address space to construct workload access profiles. However, linear scanning of page table access bits does not scale for modern applications with terabyte-scale memory footprints. Since scanning overhead scales with the memory footprint, a single full scan can take several seconds for workloads with large memory footprints. Reducing scanning frequency lowers monitoring overhead but also decreases profiling accuracy and responsiveness to changing access patterns, resulting in a fundamental tradeoff between profiling accuracy and monitoring overhead. Therefore, we need scalable, low-overhead mechanisms for access monitoring in next-generation memory management systems.<br>\r\n<br>\r\nIn this talk, I will discuss recent approaches to scalable memory access profiling in large-memory systems. Specifically, I will present works that use techniques such as adaptive sampling, region-based monitoring, and hierarchical profiling of page table trees to reduce and bound scanning overhead. <br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
            "image_description": "",
            "creation_date": "2026-05-22T13:08:29",
            "last_modification_date": "2026-05-22T13:18:11",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BC 010",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20010",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "<br>\r\nArunkrishna Annai Madalam Sivasubramanian  ",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
            "vulgarization": {
                "id": 1,
                "fr_label": "Tout public",
                "en_label": "General public"
            },
            "registration": {
                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "EDIC candidacy exam",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120838/",
            "category": {
                "id": 1,
                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
                "en_label": "Conferences - Seminars",
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        },
        {
            "id": 71932,
            "title": "Failure-Aware LLM Serving for Agentic Workloads",
            "slug": "failure-aware-llm-serving-for-agentic-workloads",
            "event_url": "https://memento.epfl.ch/event/failure-aware-llm-serving-for-agentic-workloads",
            "visual_url": null,
            "visual_large_url": null,
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            "lang": "en",
            "start_date": "2026-06-17",
            "end_date": "2026-06-17",
            "start_time": "09:00:00",
            "end_time": "11:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Anastasia Ailamaki<br>\r\nThesis advisor: Prof. Anne-Marie Kermarrec<br>\r\nCo-examiner: Prof. Robert West<br>\r\n<br>\r\n<u>Abstract</u><br>\r\n<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li>ReAct (<a href=\"https://arxiv.org/pdf/2210.03629\" target=\"_blank\">https://arxiv.org/pdf/2210.03629</a>)</li>\r\n\t<li>Agentix (<a href=\"https://www.usenix.org/system/files/nsdi26-luo.pdf\" target=\"_blank\">https://www.usenix.org/system/files/nsdi26-luo.pdf</a>)</li>\r\n\t<li>Why do multi-agent systems fail? (<a href=\"https://arxiv.org/pdf/2503.13657\" target=\"_blank\">https://arxiv.org/pdf/2503.13657</a>)</li>\r\n</ul>",
            "image_description": "",
            "creation_date": "2026-05-22T13:11:09",
            "last_modification_date": "2026-05-22T13:12:05",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BC 133",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20133",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "Palak",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
            "vulgarization": {
                "id": 1,
                "fr_label": "Tout public",
                "en_label": "General public"
            },
            "registration": {
                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "EDIC candidacy exam",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120839/",
            "category": {
                "id": 1,
                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
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                "activated": true
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}