retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=40&ordering=slug
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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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",
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            "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",
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            "id": 71747,
            "title": "Computational Design and Optimization for Physically Intelligent Systems",
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            "event_url": "https://memento.epfl.ch/event/computational-design-and-optimization-for-physical",
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            "end_date": "2026-05-29",
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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>",
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            "speaker": "Junyu Liu",
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        {
            "id": 71903,
            "title": "Computer-aided proofs in first-order optimization, with applications to error feedback",
            "slug": "computer-aided-proofs-in-first-order-optimization",
            "event_url": "https://memento.epfl.ch/event/computer-aided-proofs-in-first-order-optimization",
            "visual_url": "https://memento.epfl.ch/image/33221/200x112.jpg",
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            "start_date": "2026-05-29",
            "end_date": "2026-05-29",
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            "end_time": "16:15:00",
            "description": "<p>First-order methods are widely used in optimization and machine learning, and their behavior is often analyzed through the spectrum of worst case convergence rates. Obtaining such guarantees is often difficult and both time consuming and error-prone. Starting with the work of Drori and Teboulle (2014), novel techniques have been used to gain numerical insights, leading to the release of various performance estimation (PE) software. <br>\r\n<br>\r\nIn this talk, I will show how various computer-aided techniques can be used to study first-order optimization methods in a systematic way. From performance estimation problems with automated Lyapunov discovery, to symbolic regression and computer algebra systems, novel tools completely reshape the way we approach theory of optimization. <br>\r\nAs a main example, I will focus on error feedback methods used with compressed communication in distributed optimization. While error feedback has been widely studied, existing theory often provides untight (thus unreliable)  bounds. I will present tight analyses with matching lower bounds that allow a fair comparison between error feedback schemes and standard compressed gradient descent, and help explain when error feedback is useful and when it is not.<br>\r\n<br>\r\nOverall, the talk aims to show how various computer-aided proofs can lead to clearer and more reliable insights into first-order optimization methods.<br>\r\n<br>\r\nBased on :<br>\r\n<a href=\"https://icml.cc/virtual/2026/poster/62713\" target=\"_blank\">A Tight Theory of Error Feedback Algorithms in Distributed Optimization,</a> DB Thomsen, A Taylor, A Dieuleveut<br>\r\nInternational Conference on Machine Learning (ICML 2026)<br>\r\n<a href=\"https://scholar.google.com/citations?view_op=view_citation&amp;hl=fr&amp;user=ge-OinUAAAAJ&amp;sortby=pubdate&amp;citation_for_view=ge-OinUAAAAJ:q3oQSFYPqjQC\" target=\"_blank\">Tight analyses of first-order methods with error feedback</a>, DB Thomsen, A Taylor, A Dieuleveut<br>\r\nAdvances in Neural Information Processing Systems (NeurIPS) (2025).<br>\r\n<a href=\"https://scholar.google.com/citations?view_op=view_citation&amp;hl=fr&amp;user=ge-OinUAAAAJ&amp;sortby=pubdate&amp;citation_for_view=ge-OinUAAAAJ:L8Ckcad2t8MC\" target=\"_blank\">PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python</a><br>\r\nB Goujaud, C Moucer, F Glineur, JM Hendrickx, AB Taylor, A Dieuleveut<br>\r\nMathematical Programming Computation 16 (3), 337-367  (2024)<br>\r\n(eventually - as a detour) <a href=\"https://scholar.google.com/citations?view_op=view_citation&amp;hl=fr&amp;user=ge-OinUAAAAJ&amp;sortby=pubdate&amp;citation_for_view=ge-OinUAAAAJ:wbdj-CoPYUoC\" target=\"_blank\">Provable non-accelerations of the heavy-ball method</a> B Goujaud, A Taylor, A Dieuleveut, Mathematical Programming, 1-59  (2025)<br>\r\n </p>",
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            "title": "Conduire le changement",
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            "start_date": "2026-11-18",
            "end_date": "2026-11-30",
            "start_time": "09:00:00",
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            "description": "<p>Dans notre monde en constante évolution, le changement constitue l’une des seules constantes, qu’il s’agisse du changement au niveau de l’individu, de l’équipe ou de l’organisation dans son ensemble. Cet atelier vous fournit des outils et des techniques pour naviguer et diriger efficacement vos partenaires à travers le processus de changement, tout en soutenant la transformation organisationnelle.<br>\r\n<br>\r\nA la fin de cet atelier, vous serez en mesure de :\r\n</p><ul>\r\n\t<li>Construire une vision du changement et utiliser efficacement la narration</li>\r\n\t<li>Identifier et traiter les ‘tueurs du changement’</li>\r\n\t<li>Évaluer et prendre en compte les parties prenantes dans vos initiatives de changement transversal</li>\r\n\t<li>Comprendre la manière de surmonter la résistance au changement </li>\r\n\t<li>Établir la confiance et la crédibilité</li>\r\n\t<li>Écouter efficacement</li>\r\n\t<li>Améliorer vos compétences en matière de communication autour du changement transversal</li>\r\n</ul>\r\nDurée de la formation: 2 heures virtuelle + 2 jours présentiels<br>\r\nPublic cible: Project Managers",
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            "id": 71746,
            "title": "Control Policy and Shape Co-Design",
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            "end_date": "2026-06-15",
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            "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&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20260430T071347Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTY6G7L7JZ7%2F20260430%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=16b74f5ed082681d7b1166d729aac7886cc60232acd7e769ece224358496a9a2&amp;hash=b0e49fc41b616214d8d1147210f05c37d78da2a9936148b9faebbeb914e9b590&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1367578826000015&amp;tid=spdf-e5ddd93b-3eb0-4ff4-8c47-ebbcb2e2115a&amp;sid=4c9100ad4590a444994ad633e1000a43eccbgxrqb&amp;type=client&amp;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;ua=19075a0152510400085f&amp;rr=9f44bef12e9d3b5e&amp;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>",
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        {
            "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",
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            "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",
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            "spoken_languages": [],
            "speaker": "Hantao Zhang",
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                "en_label": "Free"
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            "keywords": "EDIC candidacy exam",
            "file": null,
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        {
            "id": 71933,
            "title": "Controlling and Guiding Generative Models for Three-Dimensional Shape Optimization",
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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 ",
            "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",
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            "spoken_languages": [],
            "speaker": "Emilien Seiler",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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                "fr_label": "Tout public",
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            },
            "registration": {
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                "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",
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                "activated": true
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        },
        {
            "id": 70194,
            "title": "COST",
            "slug": "cost",
            "event_url": "https://memento.epfl.ch/event/cost",
            "visual_url": "https://memento.epfl.ch/image/31649/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-10-30",
            "end_date": "2026-10-30",
            "start_time": null,
            "end_time": null,
            "description": "<strong>Call currently closed<br>\r\n<a href=\"https://www.google.com/url?sa=t&amp;rct=j&amp;q=&amp;esrc=s&amp;source=web&amp;cd=&amp;cad=rja&amp;uact=8&amp;ved=2ahUKEwjq14HX8MjuAhXSiqQKHe8pDHQQFjAAegQIBhAC&amp;url=https%3A%2F%2Fwww.cost.eu%2F&amp;usg=AOvVaw1onEGi7vjLjH7u6Q2FPmNB\">COST</a> (European Cooperation in Science and Technology)</strong> is a funding programme that encourages networking of scientific and technological research activities throughout Europe and beyond. The aim is to facilitate breakthrough scientific developments leading to new concepts and products. COST does not fund research but supports networking (COST Actions) via different tools such as meetings, short-term scientific exchanges, training schools and dissemination activities. COST Actions have a duration of 4 years. The deadline to submit a COST Action is usually in October. COST Actions do not cover research funding. Integration into existing COST actions is possible.<br>\r\n<br>\r\nSwitzerland is one of the founding countries of COST and a full member of the COST Association. Thanks to this status, researchers in Switzerland are entitled to participate in COST Actions or to coordinate them and submit applications for new Actions. Thus, scientists based in Switzerland are fully eligible for all COST activities and for reimbursement of their related expenses.<br>\r\nSNSF provides support for the proposal preparation for COST Actions.<br>\r\n<br>\r\nFind information about open calls and guidelines on <a href=\"https://www.cost.eu/\"><strong>COST Europe</strong></a><br>\r\nContact <a href=\"https://www.snf.ch/en/EpxgsoxjZBQv6id1/funding/programmes/cost\"><strong>SNSF COST webpage</strong></a> for support services.<br>\r\nSNSF Contact: Ladina Knapp,<strong> </strong><a href=\"mailto:[email protected]\">[email protected]</a><strong>  </strong><br>\r\nContact <a href=\"mailto:[email protected]\">[email protected]</a> for questions<br>\r\n<br>\r\n ",
            "image_description": "",
            "creation_date": "2025-10-23T14:32:45",
            "last_modification_date": "2025-10-23T14:51:56",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "",
            "url_place_and_room": "",
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            "spoken_languages": [],
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            },
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                "en_label": "Free"
            },
            "keywords": "",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/118257/",
            "category": {
                "id": 16,
                "code": "PROP",
                "fr_label": "Appel à proposition",
                "en_label": "Call for proposal",
                "activated": true
            },
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        },
        {
            "id": 71561,
            "title": "Cryogenic Thermometry Based on Superconducting Microwave Resonators",
            "slug": "cryogenic-thermometry-based-on-superconducting-m-2",
            "event_url": "https://memento.epfl.ch/event/cryogenic-thermometry-based-on-superconducting-m-2",
            "visual_url": "https://memento.epfl.ch/image/32898/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-05",
            "end_date": "2026-06-05",
            "start_time": "17:00:00",
            "end_time": null,
            "description": "<p>Thesis Directors: Prof. G. Boero, Dr H. Furci<br>\r\nMicrosystems and Microelectronics doctoral program<br>\r\nThesis Nr. 11256<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
            "image_description": "",
            "creation_date": "2026-04-09T13:46:00",
            "last_modification_date": "2026-04-09T13:46:05",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "CM 1 4",
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            "spoken_languages": [],
            "speaker": "<a href=\"mailto:[email protected]\"><strong>André CHATEL</strong></a>",
            "organizer": "",
            "contact": "<a href=\"mailto:[email protected]\"><strong>André CHATEL</strong></a>",
            "is_internal": "False",
            "theme": "",
            "vulgarization": {
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                "fr_label": "Tout public",
                "en_label": "General public"
            },
            "registration": {
                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "EDMI",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120328/",
            "category": {
                "id": 12,
                "code": "SOUTE",
                "fr_label": "Soutenances de thèses",
                "en_label": "Thesis defenses",
                "activated": true
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                "https://memento.epfl.ch/api/v1/mementos/347/?format=api"
            ]
        },
        {
            "id": 71849,
            "title": "Decentralized by Design: Efficient, Trustworthy, and Scalable Collaborative AI",
            "slug": "decentralized-by-design-efficient-trustworthy-an-2",
            "event_url": "https://memento.epfl.ch/event/decentralized-by-design-efficient-trustworthy-an-2",
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            "lang": "en",
            "start_date": "2026-09-03",
            "end_date": "2026-09-03",
            "start_time": "17:00:00",
            "end_time": null,
            "description": "<p>Thesis Director: Prof. A.-M. Kermarrec,<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 11369<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
            "image_description": "",
            "creation_date": "2026-05-12T12:10:37",
            "last_modification_date": "2026-05-12T12:10:40",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BC 420",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20420",
            "url_online_room": "https://epfl.zoom.us/j/3943366819?pwd=MlZGcXc3WStpY3Uya2JZM0M0eUV4UT09&omn=66236027926",
            "spoken_languages": [],
            "speaker": "<a href=\"mailto:[email protected]\"><strong>Rishi SHARMA</strong></a>",
            "organizer": "",
            "contact": "<a href=\"mailto:[email protected]\"><strong>Rishi SHARMA</strong></a><br>\r\n ",
            "is_internal": "False",
            "theme": "",
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                "fr_label": "Tout public",
                "en_label": "General public"
            },
            "registration": {
                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "EDIC",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120721/",
            "category": {
                "id": 12,
                "code": "SOUTE",
                "fr_label": "Soutenances de thèses",
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                "activated": true
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}