retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=170&ordering=-event__spoken_languages
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "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. Alexander Mathis<br>\r\nCo-examiner: Prof. Mathieu Salzmann<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",
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            "creation_date": "2026-04-15T11:07:56",
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            "id": 71622,
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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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            "link_label": "",
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            "id": 71623,
            "title": "Sublinear algorithms for Attention and beyond",
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            "end_time": "12:00:00",
            "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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            "link_label": "",
            "link_url": "",
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            "cancel_reason": "",
            "place_and_room": "BC 229",
            "url_place_and_room": "",
            "url_online_room": "",
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            "speaker": "Boris Prokhorov ",
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            "id": 71626,
            "title": "Persona Formation in LLMs: Pretraining Origins, Alignment Persistence, and Safety Implications",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Jaggi<br>\r\nThesis advisor: Prof. Bob West<br>\r\nCo-examiner: Prof. Antoine Bosselut<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>\r\n\t<ul>\r\n\t\t<li>Safety Pretraining: Toward the Next Generation of Safe AI<br>\r\n\t\t(<a href=\"https://arxiv.org/abs/2504.16980\">https://arxiv.org/abs/2504.16980</a>)</li>\r\n\t\t<li>Persona Vectors: Monitoring and Controlling Character Traits in Language Models (<a href=\"https://arxiv.org/abs/2507.21509\">https://arxiv.org/abs/2507.21509</a>)</li>\r\n\t\t<li>The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models (<a href=\"https://arxiv.org/abs/2601.10387v1\">https://arxiv.org/abs/2601.10387v1</a>)</li>\r\n\t</ul>\r\n\t</li>\r\n</ul>",
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            "creation_date": "2026-04-17T13:31:08",
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            "link_label": "",
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            "spoken_languages": [],
            "speaker": "Viktor Moskvoretskii",
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            "id": 71650,
            "title": "Approximation Complexity of QMA-hard Optimization Problems",
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            "start_time": "16:00:00",
            "end_time": "18:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nicolas Macris<br>\r\nThesis advisor: Prof. Thomas Vidick<br>\r\nCo-examiner: Prof. Yihui Quek<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>Relations between average case complexity and approximation complexity (<a href=\"https://dl.acm.org/doi/abs/10.1145/509907.509985\">https://dl.acm.org/doi/abs/10.1145/509907.509985</a>)</li>\r\n\t<li>Efficient algorithm for a quantum analogue of 2-SAT (<a href=\"https://arxiv.org/abs/quant-ph/0602108\">https://arxiv.org/abs/quant-ph/0602108</a>) </li>\r\n\t<li>An Approximation Algorithm for the MAX-2-Local Hamiltonian Problem (<a href=\"https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2020.59\">https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2020.59</a>)</li>\r\n</ul>",
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            "speaker": "Petra Arabadjieva ",
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            "id": 71668,
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            "end_date": "2026-05-28",
            "start_time": "12:15:00",
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            "description": "<p>The Research Office makes availble <a href=\"https://www.epfl.ch/research/funding/\">several tools</a> to connect researchers to the most appropriate funding opportunities. One such tool is the platform <a href=\"https://myresearchconnect.com/\">ResearchConnect</a>, a third-party platform that facilitates searches via a powerful search engine and deep database of funding opportunities. <br>\r\n<br>\r\nWould you like to learn more about how ResearchConnect works, and benefit from an expert training in how to <strong>optimize your searches</strong>? Join us for an event hosted by the Research Office and featuring Mylene Joubin, accout manager and expert user representing ResarchConnect.<br>\r\n<br>\r\n&gt;&gt; <a href=\"https://forms.gle/GfBz1dUS23LZ7pPh6\">REGISTER HERE</a> &lt;&lt;<br>\r\n \r\n</p><div><strong>Note </strong>that access to ResearchConnect requires an account, which must be created by the Research Office. If you register for the event, an account will be created for you before the session. If you would like an account to be created in advance, please write to us at [email protected].</div>",
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            "id": 71671,
            "title": "Hybrid silicon-organic integrated photonic circuits for broadband terahertz field-resolved detection",
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            "start_date": "2026-06-12",
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            "start_time": "18:00:00",
            "end_time": null,
            "description": "<p>Thesis Director: Prof. I.-C. Benea-Chelmus,<br>\r\nMicrosystems and Microelectronics doctoral program<br>\r\nThesis Nr. 11690<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
            "image_description": "",
            "creation_date": "2026-04-22T11:32:43",
            "last_modification_date": "2026-04-22T11:32:47",
            "link_label": "",
            "link_url": "",
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            "cancel_reason": "",
            "place_and_room": "INJ 218",
            "url_place_and_room": "https://plan.epfl.ch/?room==INJ%20218",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "<a href=\"mailto:[email protected]\"><strong>Francesco BERTOT</strong></a>",
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            "id": 71682,
            "title": "Using acetal functionalization for the design of safer chemicals.",
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            "event_url": "https://memento.epfl.ch/event/using-acetal-functionalization-for-the-design-of-2",
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            "start_time": "16:15:00",
            "end_time": null,
            "description": "<p>Thesis Director: Prof. J. Luterbacher,<br>\r\nChemistry and Chemical Engineering doctoral program<br>\r\nThesis Nr. 11539<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
            "image_description": "",
            "creation_date": "2026-04-23T10:43:07",
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            "id": 71747,
            "title": "Computational Design and Optimization for Physically Intelligent Systems",
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