| Website | https://www.elisevanderpol.nl/ |
Attending ICLR this week, happy to meet for coffee/tea/etc.
On Saturday we have our poster for Expected Return Symmetries, see https://iclr.cc/virtual/2025/poster/27862
On Friday I'll be at the Microsoft booth for AI for Science coffee chat, see https://www.microsoft.com/en-us/research/event/microsoft-at-iclr-2025/booth-schedule/
See you there!
Our team in Microsoft Research AI for Science is looking for a Senior ML Researcher to work at the intersection of machine learning, chemistry, and drug discovery.
Amsterdam, NL or Cambridge, UK.
Apply for Senior Researcher– Machine Learning – Microsoft Research in Cambridge, Cambridgeshire, United Kingdom | Research, Applied, & Data Sciences at Microsoft
Interested in the unique challenges at the intersection of Reinforcement Learning & Drug Discovery?
New internship in Amsterdam: https://jobs.careers.microsoft.com/global/en/share/1711423/
Do research with Krzysztof Maziarz, Guoqing Liu, José Garrido-Torres, Ran Bi, Marwin Segler & me in AI4Science!
Questions? Reach out!
Apply for Internship Opportunities: AI4Science Research Internship - Reinforcement Learning & Drug Discovery in Amsterdam, Noord-Holland, Netherlands | Research, Applied, & Data Sciences at Microsoft
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.
https://mobile.twitter.com/DianWang1007/status/1640423772426768384
“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: https://t.co/4oV1uXZIhb.”
How robust are unsupervised representation learning methods (e.g. SSL) to distirbution shift compared to supervised learning?
𝐒𝐡𝐨𝐫𝐭 𝐚𝐧𝐬𝐰𝐞𝐫: Quite!
𝐋𝐨𝐧𝐠 𝐚𝐧𝐬𝐰𝐞𝐫: Our #ICLR2023 paper http://arxiv.org/pdf/2206.08871.pdf
Joint work with Imant Daunhawer & Amartya Sanyal @amartya
I was featured in the #WiML profile series by @WiMLworkshop@twitter.com.
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: https://t.co/49c9amig9Q”
Our #ICLR2023 workshop on Physics4ML is open for submissions. Deadline: 3rd February.
Submit your work on physics-based ML, equivariance, etc here: https://openreview.net/group?id=ICLR.cc/2023/Workshop/Physics4ML
More info:
https://physics4ml.github.io/
https://mobile.twitter.com/tk_rusch/status/1610305901558210563
Our wonderful speakers are mmbronstein@mastodon.social avapamini@twitter.com yasamanbb@twitter.com neuro_kim@twitter.com, S. Mishra,
and a big thank-you to the hardworking organisational team @elisevanderpol @tk_rusch ask1729@twitter.com DrBPChamberlain@twitter.com EBezenac@twitter.com !🛠
#machinelearning #deeplearning
2/2
Announcing the #ICLR2023 workshop on "Physics for Machine Learning"🔥
Send us: equivariant NNs, Lie algebra approaches, neural ODEs, fluid/molecular/particle/multi-scale physics - etc!
Site: https://physics4ml.github.io
OpenReview: https://openreview.net/group?id=ICLR.cc/2023/Workshop/Physics4ML
Deadline 3rd Feb!⚡️
#machinelearning #deeplearning
1/2
I am a scientist at Meta AI in NYC and study machine learning and optimization, recently involving reinforcement learning, control, optimal transport, and geometry. On social media, I enjoy finding and boosting interesting content from the original authors on these topics
I made this small animation with my recent project on optimal transport that connects continuous structures in the world. The source code to reproduce this and other examples is online at https://github.com/facebookresearch/w2ot
Yuge (Jimmy) Shi
Patrick Kidger
Brandon Amos