Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=90&ordering=-event__url_place_and_room
{ "count": 203, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=100&ordering=-event__url_place_and_room", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=80&ordering=-event__url_place_and_room", "results": [ { "id": 71626, "title": "Persona Formation in LLMs: Pretraining Origins, Alignment Persistence, and Safety Implications", "slug": "persona-formation-in-llms-pretraining-origins-alig", "event_url": "https://memento.epfl.ch/event/persona-formation-in-llms-pretraining-origins-alig", "visual_url": "https://memento.epfl.ch/image/32954/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32954/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32954/max-size.jpg", "lang": "en", "start_date": "2026-06-08", "end_date": "2026-06-08", "start_time": "10:00:00", "end_time": "12:00:00", "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>", "image_description": "", "creation_date": "2026-04-17T13:31:08", "last_modification_date": "2026-04-20T11:56:35", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 333", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20333", "url_online_room": "", "spoken_languages": [], "speaker": "Viktor Moskvoretskii", "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/120418/", "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/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "id": 71877, "title": "Aligning Models Throughout Training", "slug": "aligning-models-throughout-training", "event_url": "https://memento.epfl.ch/event/aligning-models-throughout-training", "visual_url": "https://memento.epfl.ch/image/33199/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33199/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33199/max-size.jpg", "lang": "en", "start_date": "2026-06-18", "end_date": "2026-06-18", "start_time": "13:00:00", "end_time": "15:00:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Jaggi<br>\r\nThesis advisor: Prof. Robert West<br>\r\nCo-examiner: Prof. Nicolas Flammarion<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": "2026-05-13T12:37:39", "last_modification_date": "2026-05-13T12:37:39", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 333", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20333", "url_online_room": "", "spoken_languages": [], "speaker": "Raghav Singhal", "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/120764/", "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/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "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", "visual_url": null, "visual_large_url": null, "visual_maxsize_url": null, "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", "url_online_room": "", "spoken_languages": [], "speaker": "Edouard Dufour", "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/120837/", "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": 71933, "title": "Controlling and Guiding Generative Models for Three-Dimensional Shape Optimization", "slug": "controlling-and-guiding-generative-models-for-thre", "event_url": "https://memento.epfl.ch/event/controlling-and-guiding-generative-models-for-thre", "visual_url": null, "visual_large_url": null, "visual_maxsize_url": null, "lang": "en", "start_date": "2026-07-07", "end_date": "2026-07-07", "start_time": "11:00:00", "end_time": "13:00:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Rajman<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Mark Pauly<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nOptimizing 3D shapes within the latent spaces of deep generative models is fundamental to computer assisted engineering, yet remains prone to a critical failure mode we term manifold drift: the tendency of gradient-based optimization to move latent vectors away from the manifold of valid shapes. This problem is exacerbated in state-of-the-art 3D shape generative models that operate in increasingly high-dimensional latent spaces where valid shapes occupy a vanishingly small fraction of the full space. Existing mitigation strategies, including latent regularization and flow-matching approaches, either sacrifice expressiveness, demand a difficult trade-off between objective guidance and generative fidelity that remains prone to manifold drift, or are computationally infeasible to scale to modern, large-capacity 3D shape models. We introduce a novel optimizer-corrector framework that alternates between gradient steps for objective minimization and guided flow matching to drive the latent state back to the valid shape manifold. By decoupling objective minimization from flow-based correction, optimizing freely and correcting strictly, this alternating design avoids inherent trade-offs, preserving geometric validity without sacrificing expressiveness while remaining computationally feasible on modern 3D shape models. We demonstrate its effectiveness across generative priors of varying complexity, from simple vector latent spaces to large-scale architectures across a variety of downstream optimization tasks, including aerodynamic drag reduction and object compliance optimization.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n ", "image_description": "", "creation_date": "2026-05-22T13:14:54", "last_modification_date": "2026-05-22T13:14:54", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 333", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20333", "url_online_room": "", "spoken_languages": [], "speaker": "Emilien Seiler", "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/120840/", "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": 71746, "title": "Control Policy and Shape Co-Design", "slug": "control-policy-and-shape-co-design", "event_url": "https://memento.epfl.ch/event/control-policy-and-shape-co-design", "visual_url": "https://memento.epfl.ch/image/33072/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33072/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33072/max-size.jpg", "lang": "en", "start_date": "2026-06-15", "end_date": "2026-06-15", "start_time": "10:00:00", "end_time": "12:00:00", "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&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20260430T071347Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY6G7L7JZ7%2F20260430%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=16b74f5ed082681d7b1166d729aac7886cc60232acd7e769ece224358496a9a2&hash=b0e49fc41b616214d8d1147210f05c37d78da2a9936148b9faebbeb914e9b590&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1367578826000015&tid=spdf-e5ddd93b-3eb0-4ff4-8c47-ebbcb2e2115a&sid=4c9100ad4590a444994ad633e1000a43eccbgxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=19075a0152510400085f&rr=9f44bef12e9d3b5e&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>", "image_description": "", "creation_date": "2026-04-29T09:08:43", "last_modification_date": "2026-05-01T14:30:04", "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": "Daniele Affinita", "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/120577/", "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": 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", "visual_large_url": "https://memento.epfl.ch/image/33073/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33073/max-size.jpg", "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", "url_online_room": "", "spoken_languages": [], "speaker": "Junyu Liu", "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/120578/", "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": 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", "visual_url": "https://memento.epfl.ch/image/33080/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33080/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33080/max-size.jpg", "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": "", "place_and_room": "BC 329", "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": "", "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/120586/", "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/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "id": 71755, "title": "Controllable Generative Models via Test-Time Adaptation", "slug": "controllable-generative-models-via-test-time-adapt", "event_url": "https://memento.epfl.ch/event/controllable-generative-models-via-test-time-adapt", "visual_url": "https://memento.epfl.ch/image/33081/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33081/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33081/max-size.jpg", "lang": "en", "start_date": "2026-07-07", "end_date": "2026-07-07", "start_time": "09:30:00", "end_time": "11:30:00", "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Rajman<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Jean-Philippe Thiran<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": "2026-04-29T10:00:51", "last_modification_date": "2026-05-08T11:17:00", "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": "Hantao Zhang", "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/120587/", "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/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] }, { "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 }, "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": 71591, "title": "Decision Making under Risk and Uncertainty", "slug": "decision-making-under-risk-and-uncertainty", "event_url": "https://memento.epfl.ch/event/decision-making-under-risk-and-uncertainty", "visual_url": "https://memento.epfl.ch/image/32924/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32924/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32924/max-size.jpg", "lang": "en", "start_date": "2026-06-08", "end_date": "2026-06-08", "start_time": "10:00:00", "end_time": "12:00:00", "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 ", "image_description": "", "creation_date": "2026-04-14T14:29:53", "last_modification_date": "2026-04-20T21:12:06", "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": "Bo-Yu Yang", "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/120375/", "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/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api", "https://memento.epfl.ch/api/v1/mementos/48/?format=api" ] } ] }
