Victor Letzelter

22 posts

Victor Letzelter

@VLetzelter

Research Scientist @ Mistral

Paris, France Katılım Eylül 2021

195 Takip Edilen85 Takipçiler

Sabitlenmiş Tweet

Victor Letzelter@VLetzelter·27 Mar

@valeoai and @telecomparis are incredible places to do a PhD. Very grateful to the exceptional teams and to my advisors @abursuc @Mickael_Chen @ptrkprz @gillespuy @MathieuFontai19 @ccrommel Gaël and Slim Many thanks to the jury @francoisfleuret @rakotal1 @irinarish @RFlamary

valeo.ai@valeoai

Congrats to our @VLetzelter for earning his well deserved PhD with his works on "Multiple Choice Learning from Ambiguous Signals". Victor is a resourceful, curious and kind researcher. Good luck for next! Fruit of an excellent collaboration between @telecomparis & @valeoai

English

Victor Letzelter retweetledi

valeo.ai@valeoai·27 Mar

valeo.ai@valeoai

🚨 Happening NOW! 🎓 Our PhD student Victor Letzelter @VLetzelter is currently defending his thesis at Telecom Paris! Good luck, Victor! 👏🚀 #PhDDefense #TelecomParis

English

2.9K

Victor Letzelter retweetledi

Nicolas Sereyjol-Garros@sg_nicolas·4 Şub

1/ 📢 New preprint: Test-Time Conditioning with Representation-Aligned Visual Features Introducing REPA-G — a framework for controllable image generation at inference time using aligned visual features. 📄 arxiv.org/pdf/2602.03753 💻 github.com/valeoai/REPA-G 🧵👇

English

5.2K

Victor Letzelter@VLetzelter·15 Tem

Let’s catch up if you’re at @icmlconf and want to chat!

Adrien Crt@crtadrien1

Interested in time series forecasting and data uncertainty quantification? Check out our latest paper with @VLetzelter at @icmlconf ! Paper: arxiv.org/abs/2506.05515 Code: github.com/Victorletzelte… Poster #2211 , Tue 15 Jul 11 a.m. PDT East #timeseries #quantization #uncertainty

English

196

Victor Letzelter retweetledi

valeo.ai@valeoai·24 Şub

🚗 Ever wondered if an AI model could learn to drive just by watching YouTube? 🎥👀 We trained a 1.2B parameter model on 1,800+ hours of raw driving videos. No labels. No maps. Just pure observation. And it works! 🤯 🧵👇 [1/10]

English

174

30.1K

Victor Letzelter retweetledi

Cédric Rommel 🦋 @ICLR 🇧🇷@ccrommel·4 Ara

Inferring 3D human poses from video is highly ill-posed because of depth ambiguity. Our work accepted to #NeurIPS2024, ManiPose, gets one step closer to solving this, by leveraging prior knowledge about poses topology and cool multiple-choice learning techniques.

GIF

English

523

Victor Letzelter retweetledi

valeo.ai@valeoai·23 Kas

🌟 Calling all MSc students passionate about computer vision and ML! We’re offering research internships about diffusion models, multi-modal transformers, continual learning, & more. 4 exciting openings await! 🔗 Learn more: valeoai.github.io/interns/ RT to spread the word! 🙌

English

7.9K

Victor Letzelter@VLetzelter·25 Kas

Check out the paper! Arxiv: arxiv.org/abs/2407.15580 Project page: valeoai.github.io/publications/a… GitHub: github.com/Victorletzelte… A joint work with David Perera, Théo Mariotte, Adrien Cortes, @Mickael_Chen , Slim Essid and Gaël Richard at @valeoai and Télécom Paris.

Français

322

Victor Letzelter@VLetzelter·25 Kas

Key insights: * Annealing enhances exploration compared to greedy convergence. * Inspired by statistical physics and information theory, we describe the training trajectory. * Experiments on synthetic datasets, UCI benchmarks, and speech separation show highly promising results.

English

202

Victor Letzelter@VLetzelter·25 Kas

Working on ill-posed machine learning tasks, interested in multi-heads neural networks and data #uncertainty quantification ? Sharing here our latest research, which will be presented at @NeurIPSConf in December.

GIF

English

3.1K

Victor Letzelter retweetledi

Björn Michele@Bjoern_Michele·27 Eyl

You have an already trained sem. segmentation model ? You want to apply it to data with a domain shift ? You are afraid of degradation during the adaptation ? Then you might want to check out our work TTYD at @eccvconf 2024 in Milan. 👉 Poster # 73: Tuesday, 16:30 #ECCV2024

GIF

English

927

Victor Letzelter retweetledi

Alain Riou@howariou·6 Ağu

Glad to announce that Stem-JEPA has been accepted to @ISMIRConf ! In this work, we tackle the task of musical stem compatibility estimation (what “fits” together) as a representation learning problem. (1/7) Paper: arxiv.org/abs/2408.02514 Code: github.com/SonyCSLParis/S…

English

6.6K

Victor Letzelter retweetledi

valeo.ai@valeoai·22 Tem

.@VLetzelter will be at #ICML2024 to present his work on leveraging the geometric properties of the Winner-takes-all learners for conditional density estimation & uncertainty prediction, w/o modifying its original training scheme. Find a tl;dr below & come say hi at the posters

Victor Letzelter@VLetzelter

Interested in ill-posed learning tasks, uncertainty prediction, conditional density estimation or multi-head deep neural networks ? In our new paper, accepted at #ICML24, we tackle these challenges by exploring the Winner-Takes-All (WTA) training scheme. [1/n]

English

587

Victor Letzelter@VLetzelter·26 Haz

Check out our paper at arxiv.org/abs/2406.04706 A joint work with D.Perera, @ccrommel, @MathieuFontai19, S.Essid, G.Richard and @ptrkprz Multi-head #neuralnetworks #machinelearning #Uncertainty #DensityEstimation

English

244

Victor Letzelter@VLetzelter·26 Haz

The attached figure illustrates the predictions (shaded blue points) made by WTA-based models compared to other baselines, for the task of estimating conditional distributions on a synthetic datasets (represented by green points). [4/n]

English

295

Victor Letzelter@VLetzelter·26 Haz

English

5.6K

Keşfet

@telecomparis @valeoai @icmlconf @Mickael_Chen @NeurIPSConf @eccvconf @ISMIRConf @ccrommel