retrieve:
Return the details about the given Event id.

list:
List all Event objects.

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

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            "id": 70419,
            "title": "7 habitudes pour réussir à se libérer du temps",
            "slug": "7-habitudes-pour-reussir-a-se-liberer-du-temps-8",
            "event_url": "https://memento.epfl.ch/event/7-habitudes-pour-reussir-a-se-liberer-du-temps-8",
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            "start_date": "2026-05-29",
            "end_date": "2026-06-12",
            "start_time": "08:30:00",
            "end_time": "12:55:00",
            "description": "<ul>\r\n\t<li>Découvrir et soigner ses 4 virus de la gestion du temps</li>\r\n\t<li>Aider la personne à mettre en place une organisation personnelle qui lui apporte durablement un équilibre de vie</li>\r\n\t<li>Être plus à l’écoute de ses besoins et à la satisfaction de ceux-ci</li>\r\n\t<li>Avoir des outils concrets &amp; pratiques pour la gestion des émotions qui altèrent le jugement et le processus de décision</li>\r\n\t<li>Différencier la gestion des priorités et des urgences</li>\r\n\t<li>Gagner en autonomie et en prise de responsabilité́ pour l’atteinte de ses objectifs</li>\r\n\t<li>Mettre en lien ses connaissances sur les neurosciences</li>\r\n</ul>\r\nDurée: 3 demi-jours",
            "image_description": "",
            "creation_date": "2025-11-12T21:33:14",
            "last_modification_date": "2025-11-12T21:35:19",
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            "id": 70155,
            "title": "CAS Building Resilient Supply Chains",
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            "start_date": "2026-04-23",
            "end_date": "2026-06-27",
            "start_time": null,
            "end_time": null,
            "description": "<u>Implement agile, risk-ready value chains</u><br>\r\n<br>\r\nWhile modern industry is still adapting to the emergence of Industry 4.0, a new opportunity space is starting to surface. The ability to balance sustainability goals, people talent and resilient value chains is quickly becoming the defining differentiator for operations professionals. Profound change currents are reshaping supply chains on a global scale. Those who wish to stay ahead of this change need to move from supply chain management to value chain management thinking. <strong>Move beyond simply managing operations to realizing growth, innovation and sustainability goals.</strong><br>\r\n<br>\r\nThis Certificate of Advanced Studies (formally entitled CAS in Resilient Value Chain Management) runs from April 23<sup>rd</sup> to June 27<sup>th</sup>, 2026 at the EPFL Campus in Lausanne.<br>\r\n \r\n<ul>\r\n\t<li>12 days on Campus</li>\r\n\t<li>4 modules</li>\r\n\t<li>Flexible format</li>\r\n\t<li>Part-time</li>\r\n\t<li>15 ECTS</li>\r\n</ul>",
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            "id": 71747,
            "title": "Computational Design and Optimization for Physically Intelligent Systems",
            "slug": "computational-design-and-optimization-for-physical",
            "event_url": "https://memento.epfl.ch/event/computational-design-and-optimization-for-physical",
            "visual_url": "https://memento.epfl.ch/image/33073/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-05-29",
            "end_date": "2026-05-29",
            "start_time": "13:00:00",
            "end_time": "15:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Wenzel Jakob<br>\r\nThesis advisor: Prof. Mark Pauly<br>\r\nCo-examiner: Prof. Pascal Fua<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nPhysically intelligent systems exploit geometry, physics, material distribution, and structural coupling to generate useful behaviors. This thesis develops computational design and optimization methods for lightweight mechanical systems with complex geometries and rich deformation behavior. The central goal is to create a simulation-driven inverse design framework in which shape, material, and structural parameters are optimized together so that the resulting physical system achieves desired equilibrium configurations, alignment targets, and crucially functional mechanical responses. By combining differentiable mechanics, compact design parameterizations, robust equilibrium solving, instructive shape space and functional space analysis, and optimization, the work investigates how complex physical behavior can be encoded directly into the design process.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n- <a aria-describedby=\"sk-tooltip-21545\" href=\"https://dl.acm.org/doi/pdf/10.1145/3072959.3073695\" target=\"_blank\">Computational Design and Automated Fabrication of Kirchhoff-Plateau Surfaces</a>: <a href=\"https://dl.acm.org/doi/pdf/10.1145/3072959.3073695\">https://dl.acm.org/doi/pdf/10.1145/3072959.3073695</a><br>\r\n- <a href=\"https://cdl.ethz.ch/publications/the-design-space-of-plane-elastic-curves/\" target=\"_blank\">The Design Space of Plane Elastic Curves</a>: <a href=\"https://cdl.ethz.ch/publications/the-design-space-of-plane-elastic-curves/\">https://cdl.ethz.ch/publications/the-design-space-of-plane-elastic-curves/</a><br>\r\n- <a href=\"https://cdl.ethz.ch/publications/procedural-metamaterials-a-unified-procedural-graph-for-metamaterial-design/\" target=\"_blank\">Procedural Metamaterials: A Unified Procedural Graph for Metamaterial Design</a>: <a href=\"https://cdl.ethz.ch/publications/procedural-metamaterials-a-unified-procedural-graph-for-metamaterial-design/\">https://cdl.ethz.ch/publications/procedural-metamaterials-a-unified-procedural-graph-for-metamaterial-design/</a>",
            "image_description": "",
            "creation_date": "2026-04-29T09:14:57",
            "last_modification_date": "2026-04-29T09:51:11",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BC 329",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20329",
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            "spoken_languages": [],
            "speaker": "Junyu Liu",
            "organizer": "",
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            "keywords": "EDIC candidacy exam",
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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",
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            "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": "",
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            "spoken_languages": [],
            "speaker": "<br>\r\nArunkrishna Annai Madalam Sivasubramanian  ",
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            "keywords": "EDIC candidacy exam",
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        {
            "id": 71592,
            "title": "Performance Interfaces for SSD-backed Systems",
            "slug": "performance-interfaces-for-ssd-backed-systems",
            "event_url": "https://memento.epfl.ch/event/performance-interfaces-for-ssd-backed-systems",
            "visual_url": "https://memento.epfl.ch/image/32925/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/32925/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-05-29",
            "end_date": "2026-05-29",
            "start_time": "11:00:00",
            "end_time": "13:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Sanidhya Kashyap<br>\r\nThesis advisor: Prof. George Candea<br>\r\nCo-examiner: Prof. Thomas Bourgeat<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<ol>\r\n\t<li>SSD-iq: Uncovering the Hidden Side of SSD Performance, <a href=\"https://www.vldb.org/pvldb/vol18/p4295-haas.pdf\">https://www.vldb.org/pvldb/vol18/p4295-haas.pdf</a></li>\r\n\t<li>Analytic modeling of SSD write performance, <a href=\"https://dl.acm.org/doi/pdf/10.1145/2367589.2367603\">https://dl.acm.org/doi/pdf/10.1145/2367589.2367603</a></li>\r\n\t<li>FusionRAID: Achieving consistent low latency for commodity SSD arrays, <a href=\"https://www.usenix.org/system/files/fast21-jiang.pdf\">https://www.usenix.org/system/files/fast21-jiang.pdf</a></li>\r\n</ol>",
            "image_description": "",
            "creation_date": "2026-04-14T14:33:29",
            "last_modification_date": "2026-05-07T16:11:54",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
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            "url_place_and_room": "https://plan.epfl.ch/?room==INN%20326",
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            "spoken_languages": [],
            "speaker": "Roshan Ramachandran Nair",
            "organizer": "",
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        {
            "id": 71754,
            "title": "Towards Understanding Large Language Models",
            "slug": "towards-understanding-large-language-models",
            "event_url": "https://memento.epfl.ch/event/towards-understanding-large-language-models",
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            "lang": "en",
            "start_date": "2026-06-12",
            "end_date": "2026-06-12",
            "start_time": "15:30:00",
            "end_time": "17:30:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Robert West<br>\r\nThesis advisor: Prof. Nicolas Flammarion<br>\r\nCo-examiner: Prof. Martin Jaggi<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": "2026-04-29T09:57:35",
            "last_modification_date": "2026-05-08T11:16:06",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
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            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20329",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "Mark Rofin",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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                "id": 3,
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            "keywords": "EDIC candidacy exam",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120586/",
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        },
        {
            "id": 71748,
            "title": "Reasoning Under Uncertainty: Trustworthy LLMs for High-Stakes Medicine",
            "slug": "reasoning-under-uncertainty-trustworthy-llms-for-h",
            "event_url": "https://memento.epfl.ch/event/reasoning-under-uncertainty-trustworthy-llms-for-h",
            "visual_url": "https://memento.epfl.ch/image/33074/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33074/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-06-26",
            "end_date": "2026-06-26",
            "start_time": "09:30:00",
            "end_time": "11:30:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Robert West<br>\r\nThesis advisor: Prof. Mary-Anne Hartley<br>\r\nCo-examiner: Prof. Martin Jaggi<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nCurrent machine learning systems are very good at tasks reducible to statistical pattern recognition but falter on problems requiring deliberate, structured inference. Clinical reasoning exemplifies the latter: physicians generate hypotheses abductively, revise beliefs probabilistically as evidence accumulates, and choose among actions whose costs are deeply asymmetric. The harm of a missed diagnosis is not the harm of an unnecessary test. Large language models, increasingly deployed for clinical decision support, inherit this limitation. They conflate knowledge with inference: the same parameters that store medical facts are asked to reason over them, which leaves no explicit mechanism to quantify uncertainty, to abstain when evidence is insufficient, or to weight outcomes by their true clinical costs. This work argues that progress toward trustworthy medical AI requires separating the representation of knowledge from the machinery of inference, and grounding the latter in formal frameworks drawn from statistical decision theory. We investigate how these frameworks can be embedded into LLM reasoning pipelines and imposed as external scaffolding around them, maintaining competing hypotheses, guiding evidence gathering, and selecting actions that reflect the asymmetric cost structure of clinical practice. The goal is a class of systems capable of reasoning over their uncertainty, systems that know when they do not know.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
            "image_description": "Reasoning Under Uncertainty: Trustworthy LLMs for High-Stakes Medicine",
            "creation_date": "2026-04-29T09:21:38",
            "last_modification_date": "2026-04-29T09:21:38",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "INF 326",
            "url_place_and_room": "https://plan.epfl.ch/?room==INF%20326",
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            "spoken_languages": [],
            "speaker": "Yusuf Kesmen",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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