Richemond, Pierre H.
- Data Distributional Properties Drive Emergent In-Context Learning in Transformers
2022/04/22 by Stephanie C. Y. Chan, Chan, Stephanie C. Y., Adam Santoro +13 · 4 voices · 37 citations
#cs.LG #cs.AI #cs.CL
- Bootstrap your own latent: A new approach to self-supervised Learning
2020/06/13 by Jean-Bastien Grill, Grill, Jean-Bastien, Florian Strub +25 · 289 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Continuous diffusion for categorical data
2022/11/28 by Sander Dieleman, Laurent Sartran, Dieleman, Sander +25 · 26 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Music and Audio Processing
- BYOL works even without batch statistics
2020/10/20 by Pierre H. Richemond, Jean-Bastien Grill, Richemond, Pierre H. +19 · 1 voice · 3 citations
Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML
- On Wasserstein Reinforcement Learning and the Fokker-Planck equation
2017/12/19 by Pierre H. Richemond, Brendan Maginnis, Richemond, Pierre H. +1 · 2 citations
Computer Science · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #stochastic dynamics and bifurcation
- A short variational proof of equivalence between policy gradients and soft Q learning
2017/12/22 by Richemond, Pierre H., Maginnis, Brendan · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Efficiently applying attention to sequential data with the Recurrent Discounted Attention unit
2017/05/23 by Brendan Maginnis, Maginnis, Brendan, Pierre H. Richemond +1 · 1 voice
Computer Science · #Bayesian Modeling and Causal Inference #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting #cs.LG
- Categorical SDEs with Simplex Diffusion
2022/10/26 by Richemond, Pierre H., Dieleman, Sander, Doucet, Arnaud · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- The Edge of Orthogonality: A Simple View of What Makes BYOL Tick
2023/02/09 by Pierre H. Richemond, Allison Tam, Richemond, Pierre H. +9 · 1 citation
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- ShiQ: Bringing back Bellman to LLMs
2025/05/16 by Pierre Clavier, Nathan Grinsztajn, Clavier, Pierre +19 · 2 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Topic Modeling #Natural Language Processing Techniques