retrieve:
Return the details about the given Memento id.

list:
List all Memento objects.

GET /api/v1/mementos/400/events/?format=api&ordering=-slug
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
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            "id": 71783,
            "title": "TBA",
            "slug": "tba-128",
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            "lang": "en",
            "start_date": "2026-06-01",
            "end_date": "2026-06-01",
            "start_time": "15:00:00",
            "end_time": "16:00:00",
            "description": "",
            "image_description": "",
            "creation_date": "2026-05-04T09:56:23",
            "last_modification_date": "2026-05-05T13:13:57",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "GA 3 21",
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            "url_online_room": "",
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            "speaker": "Hong Wang ( IHES & NYU)",
            "organizer": "Chair of Stochastic Analysis (STOAN)",
            "contact": "[email protected]",
            "is_internal": "True",
            "theme": "",
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                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "Probability and Stochastic Analysis Seminar",
            "file": "https://memento.epfl.ch/public/upload/files/random.png",
            "icalendar_url": "https://memento.epfl.ch/event/export/120627/",
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        {
            "id": 70582,
            "title": "Summer School on Numerical methods for Random Differential Models (NUMRAD) - June 2026",
            "slug": "summer-school-on-numerical-methods-for-random-diff",
            "event_url": "https://memento.epfl.ch/event/summer-school-on-numerical-methods-for-random-diff",
            "visual_url": "https://memento.epfl.ch/image/32025/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/32025/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-06-02",
            "end_date": "2026-06-05",
            "start_time": null,
            "end_time": null,
            "description": "<p>We are pleased to announce that the second edition of the Summer School on “Numerical methods for random differential models” (NUMRAD26), will take place at the Bernoulli Center at EPFL, Lausanne (CH), from June 2nd to 5th, 2026.<br>\r\n<br>\r\nThe summer school will cover both introductory and advanced topics on numerical methods in the following areas: high-dimensional approximation, Gaussian processes, reduced order modeling for scientific machine learning, and mathematical finance. The up-to-date program of the summer school can be found at<br>\r\nhttps://numrad.epfl.ch/scientific-program/<br>\r\n<br>\r\nThe school is addressed to young mathematicians (PhD students, early postdoc researchers, and highly motivated master students), and it will consist in lectures delivered by world-wide renowned experts. Participants will have the chance to share their research during a poster session. <br>\r\n<br>\r\nThere are no registration fees, but the number of participants is limited. You can apply to the summer school by submitting the application form by February 13th 2026 at:<br>\r\nhttps://numrad.epfl.ch/registration/<br>\r\nApplicants will be informed of the admission decision by email within three weeks after the application deadline.<br>\r\n<br>\r\nFor more details, please visit:<br>\r\nhttps://numrad.epfl.ch<br>\r\n<br>\r\nThe event is funded by the Bernoulli Center at EPFL, the EDOC EPFL, and by the CSQI Chair.<br>\r\n<br>\r\nLooking forward to seeing you in Lausanne next June!</p>",
            "image_description": "",
            "creation_date": "2025-12-02T02:50:24",
            "last_modification_date": "2026-05-19T09:51:24",
            "link_label": "Website",
            "link_url": "https://numrad.epfl.ch",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "",
            "url_place_and_room": "",
            "url_online_room": "",
            "spoken_languages": [
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            ],
            "speaker": "Confirmed:\r\n\r\nAlexandra Gessner (AstraZeneca, Spain)\r\n\r\nDavid Ginsbourger (<em>Universität Bern, Switzerland</em>)\r\n\r\nGeorge Haller (ETH Zürich, Switzerland)\r\n\r\nBenjamin Jourdain <em>(Ecole Nationale des Ponts et Chaussées, France)</em>\r\n\r\nMotonobu Kanagawa <em>(EURECOM, France)</em>\r\n\r\nDamiano Lombardi (Inria, COMMEDIA, France)\r\n\r\nAndrea Manzoni <em>(Politecnico di Milano, Italy)</em>\r\n\r\nAnthony Nouy <em>(Centrale Nantes – Nantes Université, France)</em>\r\n\r\nChristoph Reisinger <em>(University of Oxford, UK)</em>\r\n\r\nGianluigi Rozza (<em>SISSA, Italy</em>)\r\n\r\nOlivier Zahm <em>(Inria, Laboratoire Jean Kuntzmann, France)</em>",
            "organizer": "CSQI Chair",
            "contact": "CSQI Chair",
            "is_internal": "False",
            "theme": "",
            "vulgarization": {
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                "fr_label": "Tout public",
                "en_label": "General public"
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                "fr_label": "Sur inscription",
                "en_label": "Registration required"
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            "keywords": "",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/118868/",
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        {
            "id": 71557,
            "title": "Journée Georges de Rham",
            "slug": "journee-georges-de-rham-3",
            "event_url": "https://memento.epfl.ch/event/journee-georges-de-rham-3",
            "visual_url": "https://memento.epfl.ch/image/32981/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/32981/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/32981/max-size.jpg",
            "lang": "en",
            "start_date": "2026-06-03",
            "end_date": "2026-06-03",
            "start_time": "15:00:00",
            "end_time": "17:30:00",
            "description": "<p>The 2026 Journée Georges de Rham will take place on <strong>Wednesday 03 June 2026 in the <a href=\"https://plan.epfl.ch/?room=%3DPO%2001&amp;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=2533269&amp;map_y=1152613&amp;map_zoom=13\">Polydôme</a> at EPFL</strong>, <strong>from 15:00 to 17:30</strong> followed by an apéritif.<br>\r\n<br>\r\n<a href=\"https://sites.google.com/view/hongwang/home\">Professor Wang</a> will deliver a talk titled “<strong>Kakeya sets in R^</strong><strong>3″</strong>. A Kakeya set is a compact subset of R^n that contains a unit line segment pointing in every direction.  Kakeya set conjecture asserts that every Kakeya set has Minkowski and  Hausdorff dimension n. We prove this conjecture in R^3 as a consequence of a more general statement about union of tubes. Joint work with Josh Zahl. <br>\r\n<br>\r\n<a href=\"https://candes.su.domains/\">Professor Candès</a> will deliver a talk titled “<strong>What Statistics and AI Offer Each Other?</strong>“, exploring how thinking carefully about AI inputs and outputs yields more powerful, safer AI. By examining several vignettes, we shall answer questions such as: how do we train language models under cost constraints? What happens when we’ve exhausted all available data? If I start a clinical trial using the drug AI thinks is best, will it pan out? How can we ensure high-quality products when AI is used in a larger workflow? That is, how do I know whether AI automated a task correctly? AI powered imputations are beginning to substitute for real data when collection of the latter is difficult, slow, or costly. How then should we leverage machine learning predictions both as a substitute for high-quality data and as a tool for guiding real data collection?<br>\r\n<br>\r\n<a href=\"https://bernoulli.epfl.ch/georges-de-rham/\">Bernoulli Center for Fundamental Studies </a><br>\r\n </p>",
            "image_description": "Georges de Rham",
            "creation_date": "2026-04-09T11:23:48",
            "last_modification_date": "2026-04-21T10:30:46",
            "link_label": "REGISTER HERE",
            "link_url": "https://forms.cloud.microsoft/Pages/ResponsePage.aspx?id=alXC9vvEsUqix54iDfEcQz1L8lg9k1hKjoS8MXHPYMFUN1MwRk5PUzA3MDhGNUgwS0tMRlRKSVZSSi4u",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "PO 01",
            "url_place_and_room": "https://plan.epfl.ch/?room==PO%2001",
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            "spoken_languages": [
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            "speaker": "Prof Hong Wang, IHES &amp; NYU<br>\r\nProf Emmanuel Candès, Stanford",
            "organizer": "Bernoulli Center",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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            "keywords": "Kakeya, AI, statistics",
            "file": "https://memento.epfl.ch/public/upload/files/DERHAMAffiche.jpg",
            "icalendar_url": "https://memento.epfl.ch/event/export/120322/",
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}