retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=260&ordering=-event__organizer
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "title": "Decision Making under Risk and Uncertainty",
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            "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\ncoming soon",
            "image_description": "",
            "creation_date": "2026-04-14T14:29:53",
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            "link_label": "",
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            "speaker": "Bo-Yu Yang",
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            "id": 71592,
            "title": "Performance Interfaces for SSD-backed Systems",
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            "event_url": "https://memento.epfl.ch/event/performance-interfaces-for-ssd-backed-systems",
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            "start_date": "2026-05-29",
            "end_date": "2026-05-29",
            "start_time": "11:00:00",
            "end_time": "13:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Sanidhya Kashyap<br>\r\nThesis advisor: Prof. George Candea<br>\r\nCo-examiner: Prof. Thomas Bourgeat<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": "2026-04-14T14:33:29",
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            "id": 71599,
            "title": "Multimodal Reasoning for Human Behavior Understanding",
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            "start_date": "2026-06-24",
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            "start_time": "09:30:00",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Robert West<br>\r\nThesis advisor: Prof. Alexander Mathis<br>\r\nCo-examiner: Prof. Mathieu Salzmann<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": "2026-04-15T11:07:56",
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            "link_url": "",
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            "speaker": "Matea Tashkovska",
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            "id": 71609,
            "title": "The Abstraction Trap: Lessons from a Career in the Memory Trenches",
            "slug": "the-abstraction-trap-lessons-from-a-career-in-the",
            "event_url": "https://memento.epfl.ch/event/the-abstraction-trap-lessons-from-a-career-in-the",
            "visual_url": "https://memento.epfl.ch/image/32940/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-04-29",
            "end_date": "2026-04-29",
            "start_time": "14:00:00",
            "end_time": "15:00:00",
            "description": "<div><strong><u>Abstract</u></strong><br>\r\nWhy do some foundational technologies advance rapidly while others seem frozen in time? For twenty years, production garbage collectors have remained remarkably stagnant—not for a lack of great ideas, but for a lack of the right abstractions. In this talk, I reflect on a career spent navigating the friction between theory and deployment.  I will explore how high-level abstractions—from strict encapsulation to the \"workpacket\" model—catalyze the innovation necessary to disrupt an industry status quo. Using the MMTk framework as a case study, I'll show how these architectural foundations enabled the development of systems like LXR that significantly outperform the state-of-the-art.  However, innovation is only half the battle. Drawing from recent experiences productizing MMTk for OpenJDK, Julia, and Ruby, I will reveal the hidden impediments to taking even the most promising ideas to production. I will discuss how decades of abstraction leakage in production codebases create a substantial barrier to entry for new ideas.  I'll also discuss the difficulty of motivating adoption when a lack of appropriate methodology causes the true costs of incumbent systems to be underestimated or entirely misunderstood. While this talk draws on the world of memory management, it is not a talk about garbage collection. It is a reflection on the struggle to innovate within established fields and a roadmap for using foundational abstractions to clear the way for the next generation of software.</div>\r\n\r\n<div> </div>\r\n\r\n<div><strong><u>Bio</u></strong><br>\r\nSteve Blackburn is a Senior Staff Research Scientist at Google DeepMind, a professor at the Australian National University and an ACM Fellow.  Steve has a long history in systems and programming languages with a particular interest in management and performance analysis. His current research includes hardware and software garbage collection for the fleet and mobile devices; applying AI to large scale software engineering tasks; and understanding and mitigating silent data corruption.<br>\r\n<br>\r\n<a href=\"https://www.steveblackburn.org/\">More information</a><br>\r\n </div>",
            "image_description": "",
            "creation_date": "2026-04-16T10:01:28",
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}