retrieve:
Return the details about the given Memento id.

list:
List all Memento objects.

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            "id": 71906,
            "title": "Workshop for Postdocs on the Creative Scientific Process",
            "slug": "workshop-for-postdocs-on-the-creative-scientific-p",
            "event_url": "https://memento.epfl.ch/event/workshop-for-postdocs-on-the-creative-scientific-p",
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            "start_date": "2026-06-25",
            "end_date": "2026-06-25",
            "start_time": null,
            "end_time": null,
            "description": "<p>Are you finding it difficult to come up with a truly innovative idea for your next grant application? Do you ever feel stuck in an experiment, in familiar ways of thinking, even when you <em>know</em> there must be new angles to explore?<br>\r\n<br>\r\nScience progress moves between two complementary modes: <em>Day Science</em>, the rigorous testing of ideas, and <em>Night Science</em>, the creative process where those ideas first emerge. Indeed, what we call the scientific method tells us what to do once we have a hypothesis – but where do these hypotheses come from in the first place? François Jacob famously called this part the realm of ‘<em>Night Science’</em>.<br>\r\n<br>\r\nDrawing on the <a href=\"https://night-science.org/home/learn/\">Night Science training framework</a> developed by Profs Itai Yanai and Martin Lercher, this workshop will introduce thinking tools and exercises to help you foster exploratory thinking, interdisciplinarity and a general attitude of openness towards new ideas applied to your own research challenges. This course is provided by a certified Night Science trainer from the <a href=\"https://www.epfl.ch/research/services/units/research-office/\" target=\"_blank\">EPFL Research Office</a>. <br>\r\n<br>\r\n<strong>This interactive workshop is designed specifically for postdoctoral researchers who want to:</strong>\r\n</p><ul>\r\n\t<li>Generate novel, high-risk/high-reward ideas for grants and publications</li>\r\n\t<li>Overcome conceptual or experimental roadblocks</li>\r\n\t<li>Expand their thinking beyond conventional frameworks</li>\r\n\t<li>Reconnect with the creative side of the scientific process</li>\r\n</ul>\r\n<strong><em>When and Where</em></strong><strong>:</strong> June 25, 2026, 08:30-14:00. On-site only, room <a href=\"https://plan.epfl.ch/?dim_floor=0&amp;lang=en&amp;dim_lang=en&amp;tree_groups=centres_nevralgiques_grp%2Cmobilite_acces_grp%2Crestauration_et_commerces_grp%2Censeignement%2Cservices_campus_grp%2Cequipements_grp&amp;tree_group_layers_centres_nevralgiques_grp=&amp;tree_group_layers_mobilite_acces_grp=metro&amp;tree_group_layers_restauration_et_commerces_grp=&amp;tree_group_layers_enseignement=guichet_etudiants&amp;tree_group_layers_services_campus_grp=information_epfl&amp;tree_group_layers_equipements_grp=&amp;baselayer_ref=grp_backgrounds&amp;map_x=2533099&amp;map_y=1152409&amp;map_zoom=14\">MED0 1618</a> (Lausanne campus). Lunch provided.<br>\r\n<br>\r\n<strong><em>Programme:</em></strong>\r\n\r\n<ul>\r\n\t<li><strong>08:30-08:45 : </strong>Breakfast + Welcome coffee </li>\r\n\t<li><strong>08:45-10:15 : </strong>Session 1: Night science, openness, improvisation, takes two to think + Exercise</li>\r\n\t<li><strong>10:15-10:30</strong> :Coffee break</li>\r\n\t<li><strong>10:30-12:00</strong> : Session 2: Import/export, 2 languages + Exercise</li>\r\n\t<li><strong>12:00-12:30</strong> : Lunch</li>\r\n\t<li><strong>12:30-13:30</strong> : Session 3: Hypothesis is a liability, what’s the question + Exercise</li>\r\n\t<li><strong>13:30-14:00</strong> : Wrap-up Discussion </li>\r\n</ul>\r\n<br>\r\n<strong><em>Registration</em></strong><strong>:</strong> Participation limited to <strong>30 attendees</strong>, on a first-come first-served basis. Register early to secure your spot <a href=\"https://forms.office.com/Pages/ResponsePage.aspx?id=alXC9vvEsUqix54iDfEcQzE88_YGNxJDjy6KyYIGmdJURE5VSVdLN1YxTFVJQVAxVFoxREJQR0YyNCQlQCN0PWcu\">here</a>. A waiting list will be organised.<br>\r\n<br>\r\n<u>Registration will close on June 18<sup>th</sup> after which attendance will be confirmed by email</u>.<br>\r\n <br>\r\nAny questions? Contact the Research Office at <a href=\"mailto:[email protected]\">[email protected]</a>.",
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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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            "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",
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            "creation_date": "2026-04-29T09:21:38",
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            "speaker": "Yusuf Kesmen",
            "organizer": "",
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        {
            "id": 71838,
            "title": "Composable Performance Interfaces with Controlled Resolution",
            "slug": "composable-performance-interfaces-with-controlled",
            "event_url": "https://memento.epfl.ch/event/composable-performance-interfaces-with-controlled",
            "visual_url": "https://memento.epfl.ch/image/33158/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-26",
            "end_date": "2026-06-26",
            "start_time": "11:15:00",
            "end_time": "13:15:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nate Foster<br>\r\nThesis advisor: Prof. George Candea<br>\r\nCo-examiner: Prof. Rachid Guerraoui<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": "2026-05-08T16:49:17",
            "last_modification_date": "2026-05-08T16:49:17",
            "link_label": "",
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            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "INN 326",
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            "speaker": "Alexandre Piveteau",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
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            "keywords": "EDIC candidacy exam",
            "file": null,
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        {
            "id": 71809,
            "title": "SERI – Leading House MENA | Research Partnership Grants 2026",
            "slug": "seri-leading-house-mena-research-partnership-gra-3",
            "event_url": "https://memento.epfl.ch/event/seri-leading-house-mena-research-partnership-gra-3",
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            "start_date": "2026-06-26",
            "end_date": "2026-06-26",
            "start_time": null,
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            "description": "<strong>Aim:</strong><br>\r\nThis instrument aims to strengthen collaboration between researchers based in Switzerland and those in partner countries from the MENA region. The program will support either the launch of new joint projects or the consolidation of existing initiatives. Open to all scientific disciplines, the call welcomes a wide range of methods and approaches: field research, feasibility studies, qualitative interviews, artistic or design-based research, etc.<br>\r\n<br>\r\n<strong>Amount :</strong>  Max. CHF 25,000 per project<br>\r\n<strong>Deadline :</strong>  23.06.2026<br>\r\n<strong>Duration :</strong>  up to 12 months<br>\r\n<strong>Eligibility criteria</strong><br>\r\nApplicants must hold a position (permanent or lasting until the end of the project) in an eligible institution and demonstrate at least three years of research or relevant professional experience. What it meant by eligible institutions: \r\n<ul>\r\n\t<li>for <strong><em>Switzerland</em> - </strong>accredited higher education institutions (list provided by <a href=\"https://www.swissuniversities.ch/en/topics/studying/accredited-swiss-higher-education-institutions\" target=\"_blank\">swissuniversities</a>) and research institutions as defined in art. 4. and 5. of the <a href=\"https://www.fedlex.admin.ch/eli/cc/2013/786/en\" target=\"_blank\">RIPA</a></li>\r\n\t<li>for <strong><em>MENA region</em>: </strong>accredited universities and public research institutes</li>\r\n</ul>\r\n<br>\r\n<strong>Further information</strong>\r\n\r\n<ul>\r\n\t<li>Please consider that The RPG 2026 will open soon and the detailed guidelines will be available on the <a href=\"https://www.hes-so.ch/en/hes-so/about-us/international/leading-house-mena/research-partnership-grants-2026\">main page</a> of the call</li>\r\n</ul>\r\n\r\n<ul>\r\n\t<li>For more specific guidelines or questions about relevance, applicants are encouraged to contact <a href=\"mailto:[email protected]\">Leading House MENA</a></li>\r\n</ul>\r\n\r\n<ul>\r\n\t<li>Any other questions may be addressed to the <a href=\"mailto:[email protected]\">Research Office</a></li>\r\n</ul>",
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        {
            "id": 70951,
            "title": "Toward Intelligent Behavior in Macroscopic Active Matter",
            "slug": "toward-intelligent-behavior-in-macroscopic-active",
            "event_url": "https://memento.epfl.ch/event/toward-intelligent-behavior-in-macroscopic-active",
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            "lang": "en",
            "start_date": "2026-07-06",
            "end_date": "2026-07-10",
            "start_time": null,
            "end_time": null,
            "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/toward-intelligent-behavior-in-macroscopic-active-matter-1481\">https://www.cecam.org/workshop-details/toward-intelligent-behavior-in-macroscopic-active-matter-1481</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any).  However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\n<br>\r\nActive matter has emerged as a central framework for understanding systems composed of self-driven units across scales, ranging from molecular motors and cytoskeletal filaments to animal groups and robotic swarms. Initially, many foundational models focused on macroscopic agents – such as flocks, swarms, and driven granular particles – where simple interaction rules give rise to rich collective phenomena. However, over the past two decades, much of the focus has shifted toward microscopic and mesoscopic active systems, especially in soft and biological matter, supported by the technological development of high-resolution imaging, force measurement, and microfabrication. These advances have driven a more refined theoretical understanding, connecting microscopic dynamics with hydrodynamic and continuum-scale descriptions, and have found applications in biophysics, material science, and cellular biology. <br>\r\nIn parallel, yet often semi-independently, active matter concepts have flourished in ecological and robotic systems. In these domains, the agents – be they insects, birds, autonomous vehicles, or soft robots – not only self-propel and interact, but also sense their environments, make decisions, and adapt their behavior. These systems extend the classical framework of active matter by incorporating elements of intelligence, information processing, and environmental feedback. Notably, such systems can operate far from equilibrium and exhibit coordinated behavior that seems tuned for functional outcomes – navigation, foraging, or collective decision-making.<br>\r\nThese trends point toward a convergence: macroscopic active matter systems capable of intelligent, adaptive, or programmable behavior. This includes both natural systems (e.g., flocking insects, social insects, animal herds) and artificial systems (e.g., modular robots, programmable matter, active granular agents). The interplay of self-propulsion, interaction rules, information exchange, learning or memory, and system-level feedback opens exciting new directions for both fundamental science and applications. Recent efforts in this space combine techniques from statistical physics, nonlinear dynamics, robotics, and machine learning.<br>\r\nHowever, the communities working on these different aspects of active matter – soft matter physicists, ecologists, roboticists, and complexity scientists – remain fragmented, with limited opportunity for sustained dialogue. Bridging these communities is essential to develop a shared language, identify unifying principles, and guide the development of new experimental platforms and theoretical frameworks.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1038/s41586-024-08514-6\" target=\"_blank\">[1] F. Gu, B. Guiselin, N. Bain, I. Zuriguel, D. Bartolo, Nature, <strong>638</strong>, 112-119 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1126/scirobotics.aav7874\" target=\"_blank\">[2] A. Rafsanjani, K. Bertoldi, A. Studart, Sci. Robot., <strong>4</strong>, (2019)</a><br>\r\n<a href=\"https://doi.org/10.34133/cbsystems.0301\" target=\"_blank\">[3] J. Tirado, A. Parvaresh, B. Seyidoğlu, D. Bedford, J. Jørgensen, A. Rafsanjani, Cyborg. Bionic. Syst., <strong>6</strong>, (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s42254-021-00406-2\" target=\"_blank\">[4] J. O’Byrne, Y. Kafri, J. Tailleur, F. van Wijland, Nat. Rev. Phys., <strong>4</strong>, 167-183 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41567-022-01704-x\" target=\"_blank\">[5] P. Baconnier, D. Shohat, C. López, C. Coulais, V. Démery, G. Düring, O. Dauchot, Nat. Phys., <strong>18</strong>, 1234-1239 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41567-023-02028-0\" target=\"_blank\">[6] A. Cavagna, L. Di Carlo, I. Giardina, T. Grigera, S. Melillo, L. Parisi, G. Pisegna, M. Scandolo, Nat. Phys., <strong>19</strong>, 1043-1049 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1155/2013/987549\" target=\"_blank\">[7] M. Bischof, E. Del Giudice, Molecular Biology International, <strong>2013</strong>, 1-19 (2013)</a><br>\r\n<a href=\"https://doi.org/10.1098/rstb.2019.0377\" target=\"_blank\">[8] A. Deutsch, P. Friedl, L. Preziosi, G. Theraulaz, Phil. Trans. R. Soc. B, <strong>375</strong>, 20190377 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/ncomms5688\" target=\"_blank\">[9] N. Kumar, H. Soni, S. Ramaswamy, A. Sood, Nat. Commun., <strong>5</strong>, 4688 (2014)</a><br>\r\n<a href=\"https://doi.org/10.1111/j.1756-8765.2009.01028.x\" target=\"_blank\">[10] M. Moussaid, S. Garnier, G. Theraulaz, D. Helbing, Topics in Cognitive Science, <strong>1</strong>, 469-497 (2009)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevx.15.021050\" target=\"_blank\">[11] R. Bebon, J. Robinson, T. Speck, Phys. Rev. X, <strong>15</strong>, 021050 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1126/scirobotics.abo6140\" target=\"_blank\">[12] M. Ben Zion, J. Fersula, N. Bredeche, O. Dauchot, Sci. Robot., <strong>8</strong>, (2023)</a><br>\r\n<a href=\"https://doi.org/10.1103/physreve.110.014606\" target=\"_blank\">[13] J. Fersula, N. Bredeche, O. Dauchot, Phys. Rev. E, <strong>110</strong>, 014606 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1038/s42005-024-01540-w\" target=\"_blank\">[14] L. Caprini, A. Ldov, R. Gupta, H. Ellenberg, R. Wittmann, H. Löwen, C. Scholz, Commun. Phys., <strong>7</strong>, 52 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1098/rspb.2021.0275\" target=\"_blank\">[15] T. Lengronne, D. Mlynski, S. Patalano, R. James, L. Keller, S. Sumner, Proc. R. Soc. B., <strong>288</strong>, rspb.2021.0275 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.75.1226\" target=\"_blank\">[16] T. Vicsek, A. Czirók, E. Ben-Jacob, I. Cohen, O. Shochet, Phys. Rev. Lett., <strong>75</strong>, 1226-1229 (1995)</a><br>\r\n<a href=\"https://doi.org/10.1360/nso/20240005\" target=\"_blank\">[17] L. Ning, H. Zhu, J. Yang, Q. Zhang, P. Liu, R. Ni, N. Zheng, NSO., <strong>3</strong>, 20240005 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1088/1361-648x/adebd3\" target=\"_blank\">[18] G. Volpe, N. Araújo, M. Guix, M. Miodownik, N. Martin, L. Alvarez, J. Simmchen, R. Leonardo, N. Pellicciotta, Q. Martinet, J. Palacci, W. Ng, D. Saxena, R. Sapienza, S. Nadine, J. Mano, R. Mahdavi, C. Beck Adiels, J. Forth, C. Santangelo, S. Palagi, J. Seok, V. Webster-Wood, S. Wang, L. Yao, A. Aghakhani, T. Barois, H. Kellay, C. Coulais, M. van Hecke, C. Pierce, T. Wang, B. Chong, D. Goldman, A. Reina, V. Trianni, G. Volpe, R. Beckett, S. Nair, R. Armstrong, J. Phys.: Condens. Matter, <strong>37</strong>, 333501 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1088/1361-648x/ab6348\" target=\"_blank\">[19] G. Gompper, R. Winkler, T. Speck, A. Solon, C. Nardini, F. Peruani, H. Löwen, R. Golestanian, U. Kaupp, L. Alvarez, T. Kiørboe, E. Lauga, W. Poon, A. DeSimone, S. Muiños-Landin, A. Fischer, N. Söker, F. Cichos, R. Kapral, P. Gaspard, M. Ripoll, F. Sagues, A. Doostmohammadi, J. Yeomans, I. Aranson, C. Bechinger, H. Stark, C. Hemelrijk, F. Nedelec, T. Sarkar, T. Aryaksama, M. Lacroix, G. Duclos, V. Yashunsky, P. Silberzan, M. Arroyo, S. Kale, J. Phys.: Condens. Matter, <strong>32</strong>, 193001 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/529016a\" target=\"_blank\">[20] G. Popkin, Nature, <strong>529</strong>, 16-18 (2016)</a></p>",
            "image_description": "",
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            "link_label": "Toward Intelligent Behavior in Macroscopic Active Matter",
            "link_url": "https://www.cecam.org/workshop-details/toward-intelligent-behavior-in-macroscopic-active-matter-1481",
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            "cancel_reason": "",
            "place_and_room": "BCH 2103",
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            "organizer": "<strong>Wylie Ahmed, </strong>CNRS ; <strong>Laura Alvarez, </strong>University of Bordeaux ; <strong>Lorenzo Caprini, </strong>Heinrich-Heine University of Duesseldorf ; <strong>Matteo Paoluzzi, </strong>Sapienza University of Rome",
            "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager",
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            "id": 71755,
            "title": "Controllable Generative Models via Test-Time Adaptation",
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            "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",
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        {
            "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",
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            "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 ",
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            "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]",
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                "fr_label": "Tout public",
                "en_label": "General public"
            },
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                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "EDIC candidacy exam",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120840/",
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                "id": 1,
                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
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        {
            "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",
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            "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",
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            "spoken_languages": [],
            "speaker": "Edouard Dufour",
            "organizer": "",
            "contact": "[email protected]",
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                "fr_label": "Tout public",
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            },
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                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "EDIC candidacy exam",
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            "icalendar_url": "https://memento.epfl.ch/event/export/120837/",
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                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
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        },
        {
            "id": 64266,
            "title": "SNSF Postdoc.Mobility call ¦ Career funding",
            "slug": "snsf-postdocmobility-call-career-funding-3",
            "event_url": "https://memento.epfl.ch/event/snsf-postdocmobility-call-career-funding-3",
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            "start_time": null,
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            "description": "<p>Postdoc.Mobility fellowships provide <strong>support for a research stay abroad </strong>(24 months), for researchers who have done a doctorate and who wish to pursue a scientific or an academic career in Switzerland. <strong>NEXT APPLICATION DEADLINE</strong>. <strong>05.08.2025 17:00 Swiss time<br>\r\n<br>\r\nThe SNSF is organising an online event to present the Postdoc.Mobility fellowships on 12 May 2025, from 10:00 to 11:30 (Swiss time). The presentation of the funding scheme will be followed by a Q&amp;A session. Interested persons can register now via <a href=\"https://events.teams.microsoft.com/event/94201a7d-8d07-4f25-9fde-6d71f474091b@d3df0f6b-32ad-4977-a262-b7727bdb4257\">this link</a>.</strong><br>\r\n<br>\r\nThe fellowship covers:\r\n</p><ul>\r\n\t<li>subsistence costs,</li>\r\n\t<li>flat-rate for travel expenses</li>\r\n\t<li>contribution to research and conference costs.</li>\r\n</ul>\r\nIn addition, fellowship holders can apply for a <strong>return grant</strong> (3-12 months) to finance their initial period of research after returning to Switzerland.<br>\r\nThe return grant includes:\r\n<ul>\r\n\t<li>salary</li>\r\n\t<li>social security contributions</li>\r\n</ul>\r\n<strong>Conditions:</strong><br>\r\n- <strong>Eligibility window</strong>: application possible as early as 9 months before PhD defense, up to 3 years after PhD defense (net academic age)<br>\r\n- <strong>Nationality</strong>: call open to Swiss nationals and to holders of valid Swiss permanent residence, residence or cross-border commuter permit, married to a Swiss national or co-habiting with a Swiss national in a registered partnership. In addition, foreign nationals must have at least 2 years research activity at a Swiss research institution.<br>\r\n- !! Online application:<a href=\"https://www.mysnf.ch/login.aspx?returnurl=%2fdefault.aspx\"> mySNF</a> <strong>account to be requested well ahead of the deadline</strong>-<br>\r\n- <strong>Start of funded projects</strong>: from 01 February 2026<br>\r\n- A Postdoc.Mobility application may only be submitted for a <strong>duration of support for which no other funding has been obtained for the planned project</strong> from the SNSF or third parties and <strong>no other career grants of the SNSF have been applied for.</strong><br>\r\n ",
            "image_description": "",
            "creation_date": "2024-11-04T13:03:36",
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                "en_label": "Free"
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            "keywords": "Career Funding",
            "file": null,
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            "category": {
                "id": 16,
                "code": "PROP",
                "fr_label": "Appel à proposition",
                "en_label": "Call for proposal",
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        },
        {
            "id": 71752,
            "title": "Idiap Create Challenge (ICC), 15th edition",
            "slug": "idiap-create-challenge-icc-15th-edition",
            "event_url": "https://memento.epfl.ch/event/idiap-create-challenge-icc-15th-edition",
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            "lang": "en",
            "start_date": "2026-08-20",
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