retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=80&ordering=-event__contact
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "title": "Information Theoretic Methods for Security and Privacy, with Applications to Decentralized Learning",
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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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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Ola Svensson<br>\r\nThesis advisor: Prof. Michael Kapralov<br>\r\nCo-examiner: Prof. Mika Göös<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><a href=\"https://arxiv.org/pdf/2502.07861\" title=\"https://arxiv.org/pdf/2502.07861\">Streaming Attention Approximation via Discrepancy Theory</a></li>\r\n\t<li><a href=\"https://theory.stanford.edu/~virgi/cs367/papers/corrFull.pdf\" title=\"https://theory.stanford.edu/~virgi/cs367/papers/corrFull.pdf\">Finding Correlations in Subquadratic Time, with Applications to Learning Parities and the Closest Pair Problem</a></li>\r\n\t<li>Fast and Compact Random Mappings with Uniform Guarantees and Applications (by Piotr Indyk (MIT) and Ying Feng (MIT), to appear in STOC 2026) -  web link not yet available.</li>\r\n</ol>",
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            "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",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "Junyu Liu",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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                "en_label": "Free"
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            "file": null,
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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",
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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",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "Yusuf Kesmen",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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                "en_label": "Free"
            },
            "keywords": "EDIC candidacy exam",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120579/",
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                "code": "CONF",
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        },
        {
            "id": 71750,
            "title": "Efficiency Datalog Engine for Formal Research",
            "slug": "efficiency-datalog-engine-for-formal-research",
            "event_url": "https://memento.epfl.ch/event/efficiency-datalog-engine-for-formal-research",
            "visual_url": "https://memento.epfl.ch/image/33076/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33076/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33076/max-size.jpg",
            "lang": "en",
            "start_date": "2026-06-17",
            "end_date": "2026-06-17",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "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",
            "image_description": "",
            "creation_date": "2026-04-29T09:25:41",
            "last_modification_date": "2026-04-29T09:25:41",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BC 233",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20233",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "Christian Fattebert",
            "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/120582/",
            "category": {
                "id": 1,
                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
                "en_label": "Conferences - Seminars",
                "activated": true
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                "https://memento.epfl.ch/api/v1/mementos/27/?format=api"
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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",
            "last_modification_date": "2026-04-29T09:44:15",
            "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": "Claudio Migliorelli",
            "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/120583/",
            "category": {
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                "code": "CONF",
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                "en_label": "Conferences - Seminars",
                "activated": true
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                "https://memento.epfl.ch/api/v1/mementos/48/?format=api"
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        },
        {
            "id": 71753,
            "title": "Metric Sparsification of Inhomogeneous Random Graphs",
            "slug": "metric-sparsification-of-inhomogeneous-random-grap",
            "event_url": "https://memento.epfl.ch/event/metric-sparsification-of-inhomogeneous-random-grap",
            "visual_url": "https://memento.epfl.ch/image/33079/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33079/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33079/max-size.jpg",
            "lang": "en",
            "start_date": "2026-06-24",
            "end_date": "2026-06-24",
            "start_time": "14:00:00",
            "end_time": "16:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Michael Gastpar<br>\r\nThesis advisor: Prof. Patrick Thiran<br>\r\nCo-examiner: Prof. Olivier Lévêque<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\n<a href=\"https://proceedings.neurips.cc/paper_files/paper/2024/hash/41ed4bd197d0a5fa036d361c1fc606ad-Abstract-Conference.html\">Why the Metric Backbone Preserves Community Structure </a><br>\r\n<a href=\"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/ADC162CE72510EA1272B6F5C51FCFBA4/S0001867800007990a.pdf/first_passage_percolation_on_inhomogeneous_random_graphs.pdf\">First Passage Percolation on Inhomogeneous Random Graphs </a><br>\r\n<a href=\"https://projecteuclid.org/journalArticle/Download?urlId=10.1214%2F07-PS094\">A Survey of Random Processes with Reinforcement</a><br>\r\n ",
            "image_description": "",
            "creation_date": "2026-04-29T09:48:23",
            "last_modification_date": "2026-05-01T14:49:53",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BC 129",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20129",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "Raphaël Fua",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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            },
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            },
            "keywords": "EDIC candidacy exam",
            "file": null,
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}