Carl Allen (@carl_s_allen) 's Twitter Profile
Carl Allen

@carl_s_allen

Laplace Postdoctoral Chair in Machine Learning, École Normale Supérieure. Mathematical Foundations of ML. Prev ETH, Edinburgh, Oxford

ID: 965547376340619264

linkhttps://carl-allen.github.io/ calendar_today19-02-2018 11:23:28

124 Tweet

471 Followers

346 Following

Ivana Balazevic (@ibalazevic) 's Twitter Profile Photo

✨Interested in multimodal learning, in-context adaptation and memory-augmented architectures?✨ Olivier Hénaff and I are looking for a final year PhD Student Researcher to be based in the Google DeepMind London office. Please reach out or apply below! deepmind.google/about/careers/

Olivier Hénaff (@olivierhenaff) 's Twitter Profile Photo

Thrilled to announce that we have an opening for a Student Researcher to come work with us at Google DeepMind! If you’re interested in multimodal learning, in-context adaptation, memory-augmented perception, or active learning, do consider applying: deepmind.google/about/careers/

Carl Allen (@carl_s_allen) 's Twitter Profile Photo

Congrats to T Mikolov, Ilya Sutskever, K Chen, Greg Corrado, Jeff Dean for winning the Test of Time Award NeurIPS Conference for their word2vec paper! If interested to know *why* king - man + woman = queen, see our ICML 2019 Best Paper hon mention (proceedings.mlr.press/v97/allen19a/a…) #NeurIPS2023

Giorgia Ramponi (@gio_ramponi) 's Twitter Profile Photo

Exciting opportunity! Join my new research group at the University of Zurich as a PhD candidate in Reinforcement Learning. Contribute to cutting-edge AI research and shape the future of the field 🔥 To apply follow the instructions on my website: gioramponi.github.io #UZH #RL

TheodoraKontogianni (@dorakontog) 's Twitter Profile Photo

Happy to share our #ICLR2024 paper with Yuanwen Yue, Sabarinath Mahadevan,Jonas Schult,Francis Engelmann, Bastian Leibe, Konrad Schindler! AGILE3D provides multiple 3D instance masks simultaneously with a few user clicks. 📖 arxiv.org/abs/2306.00977 ⌨️ ywyue.github.io/AGILE3D/

Alizée Pace (@alizeepace) 's Twitter Profile Photo

RLHF gains are largely determined by the quality of the underlying reward model. How can we improve reward model quality without collecting more data? Introducing a novel approach to augmenting human feedback data with synthetic preferences! 🧵 arxiv.org/abs/2401.12086

Ivana Balazevic (@ibalazevic) 's Twitter Profile Photo

MC-ViT will appear as a spotlight paper at #ICML2024! Come chat to Olivier Hénaff, Nelly Papalampidi, Yuge Shi (Jimmy) and myself in Vienna if you’re interested in simple and effective long-context video understanding.

Alizée Pace (@alizeepace) 's Twitter Profile Photo

Excited to present recent work on how to efficiently query preference feedback for offline RL: arxiv.org/abs/2406.18450 MHFAIA@ICML2024 yesterday, now see you at the FoRLaC workshop at 10:30! Joint work with Giorgia Ramponi Gunnar Rätsch Bernhard Schölkopf

Carl Allen (@carl_s_allen) 's Twitter Profile Photo

Just wondering (very neutrally!)… if authors have to review as a condition of submitting themselves, but they then review in *clear bad faith*, should their own submissions be rejected as if they had not reviewed? 🤔 #ICLR2025 ICLR 2026

Gabriel Peyré (@gabrielpeyre) 's Twitter Profile Photo

I have updated my course notes on Optimal Transport with a new Chapter 9 on Wasserstein flows. It includes 3 illustrative applications: training a 2-layer MLP, deep transformers, and flow-matching generative models. You can access it here: mathematical-tours.github.io/book-sources/o…

I have updated my course notes on Optimal Transport with a new Chapter 9 on Wasserstein flows. It includes 3 illustrative applications: training a 2-layer MLP, deep transformers, and flow-matching generative models. You can access it here: mathematical-tours.github.io/book-sources/o…
Tanishq Mathew Abraham, Ph.D. (@iscienceluvr) 's Twitter Profile Photo

I am particularly bullish on using mechanistic interpretability (especially SAEs) to better understand and discover new knowledge about biology and medicine. "Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models"

I am particularly bullish on using mechanistic interpretability (especially SAEs) to better understand and discover new knowledge about biology and medicine.

"Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models"
TheodoraKontogianni (@dorakontog) 's Twitter Profile Photo

🚨 Recruiting PhD students to join my team at DTU Visual Computing & Pioneer Centre for AI on 3D Vision! 🇩🇰 🚲🌊🏰 Copenhagen is an emerging hub for computer vision with a thriving community—and it’s an amazing city! 📢 Apply now: efzu.fa.em2.oraclecloud.com/hcmUI/Candidat… & please reach out with any questions!