Elise van der Pol
@elisevanderpol
Senior Researcher at Microsoft Research Amsterdam. Structure, symmetry and equivariance in RL and AI4Science. She/her.
ID: 2237355018
http://www.elisevanderpol.nl 09-12-2013 09:30:55
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Want to make your model equivariant to certain known transformations without changing the network architecture? Please attend our contributed talk at 11AM Symmetry and Geometry in Neural Representations to know how we achieve this by adding a simple shallow network that learns to canonicalize the input. #NeurIPS2022
🗓️14th/12 Interested in single and multi-agent reinforcement learning, symmetry and AI4Science? For our last 2022 seminar we bring Elise van der Pol to London! Sign up: eventbrite.com/e/imperial-col… 📍Imperial Computing Huxley 308 / Online #ArtificialIntelligence Microsoft Research
🔔This internship opening will close on December 24th!! Please make sure to send in your application before then, if you are interested in an in internship in AI4Science Microsoft Research in Amsterdam, Cambridge or Berlin!
Check out our ICLR workshop on Physics for Machine Learning! Submit your work on physics-based ML, equivariance, etc. With amazing speakers: Ava Amini Yasaman Bahri Michael Bronstein Kim Stachenfeld S. Mishra
Our #ICLR2023 workshop on Physics4ML is now open for submissions🔥 Link:openreview.net/group?id=ICLR.… If you're not sure whether your topic is a good fit for the workshop, you can reach out to me or my co-organizers: Aditi Krishnapriyan Patrick Kidger Ben Chamberlain @ICML2024 Emmanuel de Bézenac Elise van der Pol
The recordings of our ECCV 2022 tutorial on Hyperbolic Representation Learning for Computer Vision are now available on Youtube! Check our playlist here: youtube.com/playlist?list=… Mina Ghadimi Martin Keller-Ressel jeff @syeung10
Particle-based Fluid Mechanics + Equivariant GNNs? Check out our poster ICLR 2025 #Physics4ML Thursday 2:45pm - 3:45pm arxiv.org/abs/2304.00150 Joint work with Gianluca Galletti Johannes Brandstetter et al.
Come join us at our #ICLR2023 workshop on "Physics for Machine Learning" #physics4ml🔥 Kicking off the workshop with the talk of Michael Bronstein "Physics inspired learning on Graphs"
Great meeting you in person Michael Bronstein and thanks for giving a great talk!
Hyperbolic learning is quickly gaining traction in computer vision. We have therefore compiled current literature, the trends, and open questions into a survey: arxiv.org/abs/2305.06611 w/ Mina Ghadimi Martin Keller-Ressel jeff @syeung10 1/4
Interested in the unique challenges at the intersection of Reinforcement Learning & Drug Discovery? New internship in Amsterdam: jobs.careers.microsoft.com/global/en/shar… Do research w/ Krzysztof Maziarz, Guoqing Liu, Jose A. Garrido Torres, Ran Bi, Marwin Segler & me in AI4Science! Questions? Reach out!