Martin Josifoski
I am a PhD student at EPFL🇨🇭advised by Robert West. Previously, I received an M.Sc. in Data Science from EPFL, where I worked as a research assistant at The Data Science Lab; I completed my M.Sc. thesis at the Learning & Adaptive Systems Group, ETHZ.
I spent some time at Microsoft Research, Redmond and FAIR, London.
My research is supported by a fellowship from the Swiss Data Science Center and grants/awards from Microsoft and Google.
My long-term research focuses on developing a highly capable collaborative personal AI assistant that adapts to our evolving idiosyncratic needs, goals, and drives and can be trusted to act in line with our values and interests. Currently, I am working on enhancing collaboration and, since recently, memory in support of learning, adaptation, and inference.
I am one of the key contributors to aiflows.
news
| Dec, 2023 | Our work on PAC-Bayesian Meta-Learning was accepted for publication in JMLR! |
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| Nov, 2023 | Gave a talk at Swiss Data Science Center: Reasoning and Collaborating AI! |
| Oct, 2023 | Gave a talk at Google Research, Zürich: Flows: Building Blocks of Reasoning and Collaborating AI! |
| Oct, 2023 | Two papers accepted at EMNLP’23 🚀 [link] [link] |
| Aug, 2023 | Paper out: 🌊 Flows: Building Blocks of Reasoning and Collaborating AI |
| Jun, 2023 | Excited to start my internship at Microsoft Research, where I will be working with Eric Horvitz, Adam Fourney, and Gagan Bansal! |
| Jun, 2023 | BLINK passed 1K stars ⭐ on GitHub |