Victor Letzelter @ICML
@vletzelter.bsky.social
PhD Student at Valeo.ai and Telecom Paris
Interested in time series forecasting or data uncertainty quantification?
Check out our latest paper with Adrien Cortés at @icmlconf !
Paper: arxiv.org/abs/2506.05515
Code: github.com/Victorletzel...
Poster #2211 , Tue 15 Jul 11 a.m. PDT East
#timeseries #quantization #uncertainty #icml2025
Check out our latest paper with Adrien Cortés at @icmlconf !
Paper: arxiv.org/abs/2506.05515
Code: github.com/Victorletzel...
Poster #2211 , Tue 15 Jul 11 a.m. PDT East
#timeseries #quantization #uncertainty #icml2025
July 14, 2025 at 9:40 PM
Interested in time series forecasting or data uncertainty quantification?
Check out our latest paper with Adrien Cortés at @icmlconf !
Paper: arxiv.org/abs/2506.05515
Code: github.com/Victorletzel...
Poster #2211 , Tue 15 Jul 11 a.m. PDT East
#timeseries #quantization #uncertainty #icml2025
Check out our latest paper with Adrien Cortés at @icmlconf !
Paper: arxiv.org/abs/2506.05515
Code: github.com/Victorletzel...
Poster #2211 , Tue 15 Jul 11 a.m. PDT East
#timeseries #quantization #uncertainty #icml2025
Reposted by Victor Letzelter @ICML
🚗 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]
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]
February 24, 2025 at 12:53 PM
🚗 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]
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]
Reposted by Victor Letzelter @ICML
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.
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.
December 4, 2024 at 8:00 AM
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.
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.