Elise van der Pol
@ElisevanderPol
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Senior Researcher at Microsoft Research Amsterdam. Structure, symmetry and equivariance in RL and AI4Science. She/her.
Amsterdam, Nederland
Joined December 2013
Equivariance improves data efficiency in RL. Can we ensure equivariance in the joint state-action space of multi-agent systems when we want distributed execution? . Yes! “Multi-Agent MDP Homomorphic Networks”: with @herkevanhoof, @faoliehoek, @wellingmax
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Interested in the unique challenges at the intersection of Reinforcement Learning & Drug Discovery? . New internship in Amsterdam: Do research w/ @MaziarzKris, @fiberleif, @jagarridotorres, Ran Bi, @marwinsegler & me in AI4Science!. Questions? Reach out!.
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RT @PascalMettes: Hyperbolic learning is quickly gaining traction in computer vision. We have therefore compiled current literature, the t….
arxiv.org
Deep representation learning is a ubiquitous part of modern computer vision. While Euclidean space has been the de facto standard manifold for learning visual representations, hyperbolic space has...
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RT @ArturToshev: Particle-based Fluid Mechanics + Equivariant GNNs?. Check out our poster @iclr_conf #Physics4ML Thursday 2:45pm - 3:45pm….
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RT @EBezenac: Come join us at our #ICLR2023 workshop on "Physics for Machine Learning" #physics4ml🔥. Kicking off the workshop with the talk….
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RT @philswazinna: Tomorrow I’ll be presenting our work on trade-off adaptive policies for offline RL, where we train policies that conditio….
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This week I'm at #iclr2023 in Kigali! Happy to chat AI4Science, RL, Geometric DL. Join us tomorrow at the Physics4ML workshop for great talks and interesting posters.
If you're attending #ICLR2023 this week, don't miss our hybrid workshop on "Physics for ML" on Thursday 🔥🔥 .We have an amazing lineup of speakers: @mmbronstein.@neuro_kim Sid Mishra @avapamini @yasamanbb . Schedule:
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Really looking forward to this workshop! It will be cool to discuss what equivariance can do for robotics and what the geometric dl field can learn from robotics.
Excited to announce the #RSS2023 Workshop on Symmetries in Robot Learning! Submit your work and join us to explore how symmetries can help in robotics with our incredible speakers @andyzengtweets @HughWang19 @haosu_twitr @tesssmidt @erikjbekkers. Website:
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RT @PascalMettes: The recordings of our ECCV 2022 tutorial on Hyperbolic Representation Learning for Computer Vision are now available on Y….
youtube.com
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RT @sekoumarkaba: We're launching a new reading group at Mila on Geometric Deep Learning with @ArnabMondal96 and Tara: .
geometricdl-mtl.github.io
Mila Geometric Deep Learning reading group. Presentations every two weeks on Thursdays.
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I was featured in the #WiML profile series by @WiMLworkshop. See below!.
1/4 Continuing our #WiML Profiles series, we are delighted to highlight Dr. @ElisevanderPol, who is a Sr. Researcher at @MSFTResearch AI4Science Amsterdam, working on deep learning for molecular modeling and reinforcement learning. See full profile here:
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RT @vdbergrianne: 🔔This internship opening will close on December 24th!! . Please make sure to send in your application before then, if you….
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Check out our ICLR workshop on Physics for Machine Learning! . Submit your work on physics-based ML, equivariance, etc. With amazing speakers: @avapamini. @yasamanbb. @mmbronstein. @neuro_kim. S. Mishra.
Announcing an #ICLR2023 workshop on "Physics for Machine Learning" #physics4ml🔥. The scope of the workshop is very broad: ML methods with physics-based inductive bias. Site: OpenReview: Deadline 3rd Feb!⚡️. 1/3
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RT @ThiviyanSingam: Great news! Our hybrid workshop on Neurosymbolic Generative Models was accepted at ICLR 2023🎉🎉🎉. More details on https:….
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RT @ArnabMondal96: Want to make your model equivariant to certain known transformations without changing the network architecture? Please a….
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RT @ic_arl: 🗓️14th/12 Interested in single and multi-agent reinforcement learning, symmetry and AI4Science? For our last 2022 seminar we br….
eventbrite.com
Symmetries in Single and Multi-agent Learning and AI4Science
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