Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=200&ordering=event__speaker
{ "count": 203, "next": null, "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=190&ordering=event__speaker", "results": [ { "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", "visual_maxsize_url": "https://memento.epfl.ch/image/33074/max-size.jpg", "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": "", "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/120579/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/48/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 70698, "title": "SUPER SANDWICH SEMINAR", "slug": "super-sandwich-seminar-361", "event_url": "https://memento.epfl.ch/event/super-sandwich-seminar-361", "visual_url": "https://memento.epfl.ch/image/32118/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32118/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32118/max-size.jpg", "lang": "en", "start_date": "2026-06-18", "end_date": "2026-06-18", "start_time": "12:00:00", "end_time": "13:00:00", "description": "<p>Triple S (Super Sandwich Seminar) will feature 3 speakers per week, each presenting for 15 minutes, followed by a 5 minutes Q&A session.</p>", "image_description": "", "creation_date": "2025-12-16T15:56:43", "last_modification_date": "2025-12-16T15:58:24", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Yves Paychère -<em> Naef Lab; </em>Steffen Sonnentag, <em>Radtke Lab</em>; Kiruthika Kuma, <em>Antanasijevic Lab</em>", "organizer": "Prof. Pierre Gönczy", "contact": "Lisa Smith, ISREC Administrative Assistant", "is_internal": "True", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "Super Sandwich, cancer", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119055/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/26/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api" ] }, { "id": 70928, "title": "BMI Distinguished Seminar // Yvette Fisher: Flexibility of visual input to the Drosophila head direction network", "slug": "bmi-distinguished-seminar-yvette-fisher-flexibilit", "event_url": "https://memento.epfl.ch/event/bmi-distinguished-seminar-yvette-fisher-flexibilit", "visual_url": "https://memento.epfl.ch/image/32316/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32316/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32316/max-size.jpg", "lang": "en", "start_date": "2026-06-24", "end_date": "2026-06-24", "start_time": "12:15:00", "end_time": "13:15:00", "description": "<p>Many plasticity rules rely on adjusting the strength of synapses between pairs of cells based on their coincident activity. We uncovered a new mechanism for coincidence detection in the Drosophila head direction network. To maintain an accurate sense of direction, head direction neurons that signal orientation during navigation must learn to anchor to relevant external sensory cues in novel environments. Yet the synaptic mechanism for this form of unsupervised learning is unknown in any organism. In Drosophila, GABAergic visual inputs converge onto head direction neurons, and these inhibitory synapses change strength with experience to learn the relationship between visual landmarks and head direction. However, how coincident pre- and postsynaptic activity is detected across this inhibitory synapse is not understood. We discovered that neurons which release the monoamine octopamine close a feedback loop that conveys postsynaptic head direction activity onto presynaptic terminals of visual inputs. This octopamine pathway is required for anchoring the head direction network to visual cues. Furthermore, pairing structured activation of octopamine neurons with a visual cue is sufficient to drive rapid plasticity, even without postsynaptic head direction cell activity. Previous work has extensively characterized coincidence detection mechanisms at excitatory synapses; our work defines a novel mechanism for coincidence detection at an inhibitory synapse, in which postsynaptic activity is relayed via a neuromodulatory neuron onto presynaptic terminals.<br>\r\n </p>", "image_description": "", "creation_date": "2026-01-21T16:26:07", "last_modification_date": "2026-02-16T13:34:30", "link_label": "Web Page", "link_url": "https://vcresearch.berkeley.edu/faculty/yvette-fisher", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "https://epfl.zoom.us/j/64813563657", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Yvette Fisher, UC Berkeley", "organizer": "SV BMI Host: Pavan Ramdya", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119404/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/19/?format=api", "https://memento.epfl.ch/api/v1/mementos/88/?format=api" ] } ] }
