retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=100&ordering=-event__end_time
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 71591,
            "title": "Decision Making under Risk and Uncertainty",
            "slug": "decision-making-under-risk-and-uncertainty",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Emre Telatar<br>\r\nThesis advisor: Prof. Michael Gastpar<br>\r\nCo-examiner: Prof. Negar Kiyavash<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nIn real-world decision problems, human needs can differ widely in background, culture, and objectives, making it difficult to design a single universal value function for agents. To design a model dealing with specific tasks, a natural starting point is to specify an appropriate utility (reward) function and optimize it. However, in practice, there are many factors that require attention when making decisions. This work mainly considers two factors: risk and uncertainty, and aims to study decision making through an information-theoretic lens, developing algorithms and interpretations for optimizing risk-sensitive utility functions under uncertainty.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n1. 1968 - Mossin - Optimal Multiperiod Portfolio Policies<br>\r\n<a href=\"https://www.jstor.org/stable/2351447\">https://www.jstor.org/stable/2351447</a><br>\r\n<br>\r\n2. 1984 - Cover - An Algorithm for Maximizing Expected Log Investment Return<br>\r\n<a href=\"https://ieeexplore.ieee.org/abstract/document/1056869\">https://ieeexplore.ieee.org/abstract/document/1056869</a><br>\r\n<br>\r\n3. 2019 - Bleuler-Lapidoth-Pfister - Gambling and Rényi Divergence<br>\r\n<a href=\"https://ieeexplore.ieee.org/abstract/document/8849800\">https://ieeexplore.ieee.org/abstract/document/8849800</a><br>\r\n ",
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            "id": 71622,
            "title": "Information Theoretic Methods for Security and Privacy, with Applications to Decentralized Learning",
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            "event_url": "https://memento.epfl.ch/event/information-theoretic-methods-for-security-and-p-2",
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            "start_date": "2026-06-15",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Emre Telatar<br>\r\nThesis advisor: Prof. Yanina Shkel<br>\r\nThesis co-advisor: Prof Rachid Guerraoui<br>\r\nCo-examiner: Prof. Patrick Thiran<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li>Rényi Differential Privacy, <a href=\"https://ieeexplore.ieee.org/document/8049725\">ieeexplore.ieee.org/document/8049725 </a></li>\r\n\t<li>Comparing privacy notions for protection against reconstruction attacks in machine learning,<strong> </strong><a href=\"https://arxiv.org/abs/2502.04045\">https://arxiv.org/abs/2502.04045</a></li>\r\n\t<li>Information spreading in stationary Markovian evolving graphs, <a href=\"https://ieeexplore.ieee.org/abstract/document/5160986\">https://ieeexplore.ieee.org/abstract/document/5160986</a></li>\r\n</ul>",
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            "id": 71623,
            "title": "Sublinear algorithms for Attention and beyond",
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            "id": 71626,
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            "id": 71746,
            "title": "Control Policy and Shape Co-Design",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Mark Pauly<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Colin Jones<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li><em>Developing a Co-Design Framework for Hypersonic Vehicle Aerodynamics and Trajectory </em><a href=\"https://arc.aiaa.org/doi/10.2514/6.2024-0238\" title=\"https://arc.aiaa.org/doi/10.2514/6.2024-0238\">[link]</a></li>\r\n\t<li><em>Co-Design Optimisation of Morphing Topology and Control of Winged Drones </em><a href=\"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10611506\" title=\"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10611506\">[link]</a></li>\r\n\t<li><em>Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification </em><a href=\"https://pdf.sciencedirectassets.com/271897/1-s2.0-S1367578825X00031/1-s2.0-S1367578826000015/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjED8aCXVzLWVhc3QtMSJGMEQCIGWdZsRooNaRSE9Jvm42gFGma19EDUmA%2F6qh9vRVW79eAiBVOd6jClS4f9hZhP74JWxrBGX3h6wFijICbZSAIAGQRiqyBQgHEAUaDDA1OTAwMzU0Njg2NSIM%2F2qu0CW5XnqjqmccKo8Fayr5Tlv%2BM%2FslOsihSWoNqXNS8Pgnao%2FdAGPJo2VJcHgcd9rpFY8Bc3Sp%2FEMv3tklkQCEoAQN%2FKyZ4wzymNg%2Fh11UG9YphufDs3wh19sV5ZjoMolctx4w9%2BQunLXlmS2cd2G83Le2hXhCMgWwI1Vxo9j5TfP9ChdPn5OvaCfNFDG1jhuhFWpD7lOs%2F1oaVoSVof4iPSEFs8nh7mUSFeNZizYkGDGdg4qjQB49x8TPzCPhiguiYxjXYyUjDZReKclPXS8mHy4PrHBk5y1%2F371DbHLKPLa3NhYSpkhIH7EEyWhiTWwXY8S5vRWX%2F619m7LyFisF61Ojks6SxmFdZQCKJ4OX0vR45zRbJIcodzFWDSZR65HdAXWbOuXj9IpQED5EpC0Uw4ehRobahFmdwwPskJ8qPTJg8Uj2sQI2onqy5%2F9o86fk87qgZrHrfKezmNoG5dzpz7bd%2FIq26xJ94RDpsgntiimjhQABdSVugnPAckZ7r9QvFiUJ3wrLV3JmhIbFzMJaG%2F0kf%2FmNf%2Btx3DB01VFYRk3E32j7qkmuDeYKaIYyDRmsrMwUhoow3KbntpsK7x9Lr9CYijUIUMYftG7HFuzoWOUyB2rIxuQQtkEF9POY%2Btl5VQcA3nIJ2OIsCuaGyUYhRczKz66e9TUU1LVQGk4MuXeu5QQiMghj%2FuWRZr9Jtkz44eJsrdVhdyeggsOy7vj3ipLR3t5b%2F0YJ1HUPzaYjrsAtQIPdeS%2FvjAJt2XsfZXOHM5cf2pvWw9sKM62dqnZkePmVm9IdpnH5kJc%2BbSsYtTlX0NvTtYduGzjn622WgKEMqg6QoKGHVH1opHOgRCXmjeW0s9bZ%2BA8X87GZRpY6uGX%2BvTKdabrIo3wi5zDx5MvPBjqyAXiQqZ%2FuLieJ5LH3JrfhIjOcsc2QDriCkds7r2G25UPv96CCMpPmgWYyWf6yp1YXBRMqWZjCrmb1IyiF1bTHe%2FojoM3%2Ft3ECJ4Jp9TBAscMvymXYDsuNw%2BHBbZEy8%2FkKdBl%2FzTk4Vo9s%2Bsv62VoZDmBtIOnhXzwTNdAe46xv1ay1A%2Ffq61jSf45%2BAS2ifn%2FCXIw%2Bt8nP%2FuiP4d6xN3zFLlWu%2B%2BPF7hQsXS5bGSbgpiZ5SV0%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20260430T071347Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTY6G7L7JZ7%2F20260430%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=16b74f5ed082681d7b1166d729aac7886cc60232acd7e769ece224358496a9a2&amp;hash=b0e49fc41b616214d8d1147210f05c37d78da2a9936148b9faebbeb914e9b590&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1367578826000015&amp;tid=spdf-e5ddd93b-3eb0-4ff4-8c47-ebbcb2e2115a&amp;sid=4c9100ad4590a444994ad633e1000a43eccbgxrqb&amp;type=client&amp;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;ua=19075a0152510400085f&amp;rr=9f44bef12e9d3b5e&amp;cc=ch\" title=\"https://pdf.sciencedirectassets.com/271897/1-s2.0-S1367578825X00031/1-s2.0-S1367578826000015/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjED8aCXVzLWVhc3QtMSJGMEQCIGWdZsRooNaRSE9Jvm42gFGma19EDUmA%2F6qh9vRVW79eAiBVOd6jClS4f9hZhP74JWxrBGX3h6wFijICbZSAIAGQRi\">[link]</a></li>\r\n</ul>",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Odersky<br>\r\nThesis advisor: Prof. Christoph Koch<br>\r\nCo-examiner: Prof. Viktor Kuncak<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nDatalog engines are starting to show their potential in a wide range of data-intensive applications. This thesis will investigate techniques for developing a fast Datalog engines, specifically focusing on datalog program rewriting and cost-based optimization for recursive queries. Furthermore, I will explore how Datalog can be specialized for specific tasks, such as static program analysis.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
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            "speaker": "Christian Fattebert",
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                "en_label": "Free"
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        },
        {
            "id": 71751,
            "title": "From Exploitation to Mitigation: Analyzing Memory Corruption Primitives to Harden the Linux Kernel",
            "slug": "from-exploitation-to-mitigation-analyzing-memory-c",
            "event_url": "https://memento.epfl.ch/event/from-exploitation-to-mitigation-analyzing-memory-c",
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            "lang": "en",
            "start_date": "2026-06-23",
            "end_date": "2026-06-23",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. George Candea<br>\r\nThesis advisor: Prof. Mathias Payer<br>\r\nThesis co-advisor: Dr. Anil Kurmus<br>\r\nCo-examiner: Prof. Sanidhya Kashyap<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
            "image_description": "",
            "creation_date": "2026-04-29T09:44:15",
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            "spoken_languages": [],
            "speaker": "Claudio Migliorelli",
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            "keywords": "EDIC candidacy exam",
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        },
        {
            "id": 71853,
            "title": "HSG START Accelerator Batch #3",
            "slug": "hsg-start-accelerator-batch-3-2",
            "event_url": "https://memento.epfl.ch/event/hsg-start-accelerator-batch-3-2",
            "visual_url": "https://memento.epfl.ch/image/33174/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-05-29",
            "end_date": "2026-05-29",
            "start_time": "11:00:00",
            "end_time": "12:00:00",
            "description": "<strong>HSG START Accelerator – Three Months to Become Investor‑Ready</strong><br>\r\n<br>\r\nThe <a href=\"https://www.hsgstartaccelerator.org/program\"><strong>HSG START Accelerator</strong></a> is a <strong>3‑month (September to December 2026), high‑intensity program</strong> in St. Gallen designed to help early‑stage tech and deeptech startups become fully <strong>investor‑ready</strong>. Run by the <a href=\"https://www.linkedin.com/company/university-of-st-gallen/\">University of St. Gallen</a>, the <a href=\"https://www.linkedin.com/company/start-foundation-ch/\">START Foundation</a>, and the <a href=\"https://www.linkedin.com/company/switzerland-innovation-park-ost/\">Switzerland Innovation Park Ost</a>, it combines strategic coaching, expert mentoring, and direct exposure to investors across Europe.<br>\r\n<br>\r\n<strong>What the program provides</strong>\r\n<ul>\r\n\t<li><strong>CHF 15,000 non‑dilutive grant</strong>, with access to <strong>up to CHF 200,000</strong> in additional funding.</li>\r\n\t<li><strong>Tailored coaching</strong> from HSG experts and experienced founders.</li>\r\n\t<li><strong>Weekly mentoring</strong> with investors, operators, and industry specialists.</li>\r\n\t<li><strong>Core sessions</strong> including Bootcamp, Expert Sessions, Roasting Sessions, Mock Office Hours, and Demo Day.</li>\r\n\t<li><strong>On‑site participation in St. Gallen</strong>, with dedicated coworking space.</li>\r\n</ul>\r\n<strong>Who it’s for</strong><br>\r\n<br>\r\nStartups in <strong>deeptech, AI, MedTech, ClimaTech, robotics</strong>, and emerging technologies, typically coming from leading institutions (ETH, EPFL, Empa, HSG, etc.) and preparing for their next growth and fundraising milestones.<br>\r\n<br>\r\n<strong>Program impact</strong><br>\r\n<br>\r\nAlumni consistently report sharper market positioning, stronger business models, and high‑value investor connections, making the program a recognized launchpad for ambitious European founders.<br>\r\n<br>\r\n<strong>Application deadline</strong><br>\r\n<br>\r\n29 May 2026<br>\r\n<a href=\"https://form.typeform.com/to/CnxTKS8K?typeform-source=www.hsgstartaccelerator.org\">Apply now</a>",
            "image_description": "",
            "creation_date": "2026-05-12T16:11:21",
            "last_modification_date": "2026-05-12T16:11:35",
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            "speaker": "",
            "organizer": "<a href=\"https://www.linkedin.com/company/university-of-st-gallen/\">HSG START Accelerator </a>",
            "contact": "<a href=\"mailto:[email protected]\">Oliver Sabathy</a>",
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                "fr_label": "Sur inscription",
                "en_label": "Registration required"
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            "keywords": "Startup; call for application; deeptech; funding",
            "file": "https://memento.epfl.ch/public/upload/files/ApplicationBatch3FlyerEPFL.pdf",
            "icalendar_url": "https://memento.epfl.ch/event/export/120727/",
            "category": {
                "id": 17,
                "code": "DEADLINE",
                "fr_label": "Echéance",
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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",
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            "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": "",
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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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                "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/120832/",
            "category": {
                "id": 15,
                "code": "FORM",
                "fr_label": "Formations internes",
                "en_label": "Internal trainings",
                "activated": true
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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",
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            "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",
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            "spoken_languages": [],
            "speaker": "Edouard Dufour",
            "organizer": "",
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            "keywords": "EDIC candidacy exam",
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