Tom Veniat

@RemiCadene @Tesla Congrats Rémi, can't wait to learn more about this new venture! 👏

After 3 years @tesla and Optimus, I am thrilled to announce that I joined Hugging Face to start an ambitious open robotics project! (open as in open-source, not as in Open AI) Looking for engineers to build real robots in Paris 🇫🇷 apply.workable.com/huggingface/j/… 🤖🤗

@Ar_Douillard @DeepMind Great news! Congrats to both of you guys, it's gonna be fun! 🔥

I am excited to share that, after my PhD 👨‍🎓, I will join @DeepMind this summer as a Research Scientist in the Continual Learning team led by Marc'Aurelio Ranzato! 🎉

I am very excited to release SaLinA which is a lightweight library to implement sequential decision models, including reinforcement learning algorithms (but not only). A thread…. Github: github.com/facebookresear… Arxiv: arxiv.org/abs/2110.07910 1/8

Glad to share a new preprint "A Neural Tangent Kernel Perspective of GANs"! This is joint work @mlia_lip6 @thalesgroup @valeoai @CriteoAILab with Emmanuel de Bézenac, Ibrahim Ayed, @Mickael_Chen, @SLamprier and Patrick Gallinari. arxiv.org/abs/2106.05566 github.com/emited/gantk2

🔥🔥 The 2nd Edition of the 𝐂𝐨𝐧𝐭𝐢𝐧𝐮𝐚𝐥 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 Workshop @ CVPR is here, and it's 𝗳𝗿𝗲𝗲𝗹𝘆 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲 𝘁𝗼 𝗮𝗻𝘆𝗼𝗻𝗲! 🔥🔥 ⏲️ When? 🔜 25th of June - 8.30 UTC-5 👫 How to join? ➡️ lnkd.in/eXNKpA3

🚨🚨🚨 Opened PhD position for Autumn 2021 🚨🚨🚨 "Integrating Deep Learning and Physics for Modeling Complex Dynamics, Applications to Climate Science" With Patrick Gallinari from @mlia_lip6 and M. Levy & S. Thiria from @locean_ipsl More info ⬇️⬇️⬇️ mlia.lip6.fr/wp-content/upl…

Come discuss our work "Efficient Continual Learning with Modular Networks and Task-Driven Priors" during #ICLR2021 today's poster session, 10am CEST! Poster:iclr.cc/virtual/2021/p… Paper: arxiv.org/abs/2012.12631 Colab with @LudovicDenoyer, @MarcRanzato. @mlia_lip6 @facebookai

Continuum now supports the Continual Learning CTRL benchmark of @TomVeniat @LudovicDenoyer @MarcRanzato @facebookai! * 5 predefined CTRL datasets * easy to custom your own CTRL Code: github.com/Continvvm/cont… Colab: colab.research.google.com/drive/1KNd2sJ9… Paper: arxiv.org/abs/2012.12631

We’re sharing a new benchmark for continual learning, a means for improving upon traditional #machinelearning methods by training AI models to mimic the way humans learn new tasks. Learn more: ai.facebook.com/blog/ctrl-and-…

Our PhD student @TomVeniat will present his recent #ICLR2021 paper "Efficient Continual Learning with Modular Networks and Task-Driven Priors" on Continual Learning this afternoon at the @ContinualAI meetup! 📅: eventbrite.it/e/efficient-co… 5:30PM CET 📺: teams.microsoft.com/l/meetup-join/…

🔥 This Friday, 17.30 CET 🔥 For the @ContinualAI Reading Group, @TomVeniat (Sorbonne University) will talk about his recent work "Efficient Continual Learning with Modular Networks and Task-Driven Priors"! Join us 👇 eventbrite.it/e/efficient-co…

The paper has just been accepted at #ICLR2021. Congrats @TomVeniat. It is your third paper as a first author accepted during your Ph.D (arxiv.org/abs/1706.00046 and arxiv.org/abs/1811.06753). Next step is the defense :)

Today, @ClementRebuffel presented to the MLIA team its paper "A Hierarchical Model for Data-to-Text Generation" written with @LaureSoulier, G. Scoutheeten and P. Gallinari. PDF : arxiv.org/abs/1912.10011

Code & preprint available for our Hierarchical Model for Data-to-Text! Preprint: arxiv.org/abs/1912.10011 Code: github.com/KaijuML/data-t… With @LaureSoulier, G. Scoutheeten and P. Gallinari

7 @NeurIPSConf papers for our #mlia researchers! Have a look and discuss with them! #SoProud 🤩 - neurips.cc/Conferences/20… - neurips.cc/Conferences/20… - neurips.cc/Conferences/20… - neurips.cc/Conferences/20… - neurips.cc/Conferences/20… - neurips.cc/Conferences/20… - neurips.cc/Conferences/20…

Come discuss our work on Unsupervised Object Segmentation at this morning’s poster session (number 84) ! #NeurIPS2019 Work done with my supervisors Thierry Artieres and @LudovicDenoyer. @mlia_lip6

Benjamin Benni, PhD in computer sciences. But I prefer: Ben. What an amazing adventure! Thank you all for being today :D Special thanks to my cheerleaders, @petitroll, and @Laboratoire_I3S for these years :) Cc @jmbruel @mjmrsc @Eutopiane

Today @ThomasScialom presents his @emnlp2019 paper "Answers Unite! Unsupervised Metrics for Reinforced Summarization Models" from @RecitalAI and @mlia_lip6 (arxiv.org/abs/1909.01610)

Patrick @patrick_bordes presenting his @emnlp2019 work: "Incorporating Visual Semantics into Sentence representations within a Grounded Space" w/ @EloiZablocki, @LaureSoulier, @bpiwowar and P. Gallinari Paper: aclweb.org/anthology/D19-… Source code: github.com/pbordes/multim…

This morning @EloiZablocki has defended his thesis : "Multimodal machine learning: complementarity of textual and visual contexts" supervised by @LaureSoulier, @bpiwowar and Patrick Gallinari Congratulations !!!