L. Sifre

发表

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Wojciech M. Czarnecki, Oriol Vinyals, I. Babuschkin, 2019, Nature.

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm pdf

Demis Hassabis, Karen Simonyan, David Silver, 2017, ArXiv.

A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Demis Hassabis, Karen Simonyan, David Silver, 2018, Science.

Mastering the game of Go with deep neural networks and tree search

Demis Hassabis, Koray Kavukcuoglu, David Silver, 2016, Nature.

Mastering the game of Go without human knowledge

Demis Hassabis, Karen Simonyan, Fan Hui, 2017, Nature.

Mastering Atari, Go, chess and shogi by planning with a learned model

Demis Hassabis, Karen Simonyan, David Silver, 2019, Nature.

A 7 D De novo structure prediction with deep learning based scoring

L. Sifre, K. Simonyan, J. Kirkpatrick, 2022 .

Learning to Navigate in Complex Environments pdf

Razvan Pascanu, Misha Denil, Raia Hadsell, 2016, ICLR.

Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination

Stéphane Mallat, Laurent Sifre, L. Sifre, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Rigid-Motion Scattering for Texture Classification pdf

Stéphane Mallat, Laurent Sifre, L. Sifre, 2014, ArXiv.

Combined scattering for rotation invariant texture analysis

Stéphane Mallat, Laurent Sifre, L. Sifre, 2012, ESANN.

Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)

Pushmeet Kohli, Demis Hassabis, Karen Simonyan, 2019, Proteins.

Goal-conditioned Imitation Learning

P. Abbeel, L. Sifre, J. Agapiou, 2019, NeurIPS.

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning

Sarah H. Cen, Eugene V. Tarassov, Jerome T. Connor, 2022, ArXiv.

Large-Scale Retrieval for Reinforcement Learning

L. Sifre, T. Lillicrap, A. Guez, 2022, ArXiv.

Self-conditioned Embedding Diffusion for Text Generation

L. Sifre, Rémi Leblond, Will Grathwohl, 2022, ArXiv.

Training Compute-Optimal Large Language Models

Lisa Anne Hendricks, Diego de Las Casas, Jack W. Rae, 2022, ArXiv.

Muesli: Combining Improvements in Policy Optimization

Ivo Danihelka, L. Sifre, A. Guez, 2021, ICML.

Improved protein structure prediction using potentials from deep learning

Demis Hassabis, Karen Simonyan, David T. Jones, 2020, Nature.

Training Compute-Optimal Large Language Models

Lisa Anne Hendricks, Diego de Las Casas, Jack W. Rae, 2022, ArXiv.

Improving language models by retrieving from trillions of tokens

Diego de Las Casas, Jack W. Rae, George van den Driessche, 2021, ICML.

Scaling Language Models: Methods, Analysis & Insights from Training Gopher pdf

Po-Sen Huang, Erich Elsen, Arthur Mensch, 2021, ArXiv.

Improved protein structure prediction using potentials from deep learning

David T. Jones, L. Sifre, K. Kavukcuoglu, 2020, Nature.

Accelerating Large Language Model Decoding with Speculative Sampling

Geoffrey Irving, L. Sifre, J. Lespiau, 2023, ArXiv.

Unified Scaling Laws for Routed Language Models

Blake A. Hechtman, Diego de Las Casas, Jack W. Rae, 2022, ICML.

Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)

Pushmeet Kohli, Demis Hassabis, Karen Simonyan, 2019, Proteins.

Mastering the game of Stratego with model-free multiagent reinforcement learning

Sarah H. Cen, Jerome T. Connor, L. Sifre, 2022, Science.

An empirical analysis of compute-optimal large language model training

Lisa Anne Hendricks, Diego de Las Casas, Jack W. Rae, 2022, NeurIPS.

Machine Translation Decoding beyond Beam Search

Oriol Vinyals, Karen Simonyan, Ioannis Antonoglou, 2021, EMNLP.

AlphaFold: Improved protein structure prediction using

David T. Jones, L. Sifre, K. Kavukcuoglu, 2019 .

Generic Deep Networks with Wavelet Scattering pdf

Stéphane Mallat, Laurent Sifre, Edouard Oyallon, 2013, ICLR.

CROSS-LINGUAL AND PROGRESSIVE TRANSFER LEARNING

Nicholas Carlini, Oriol Vinyals, L. Sifre, 2023 .

Large-Scale Retrieval for Reinforcement Learning

L. Sifre, T. Lillicrap, A. Guez, 2022, NeurIPS.

Combined scattering for rotation invariant texture analysis

L. Sifre, S. Mallat, 2012, ESANN.

Mastering the game of Go with deep neural networks and tree search

Chris J. Maddison, George van den Driessche, Aja Huang, 2016, Nature.

Gemini: A Family of Highly Capable Multimodal Models

Tara N. Sainath, Dalia El Badawy, Reinald Kim Amplayo, 2023, ArXiv.

Sequence-level Large Language Model Training with Contrastive Preference Optimization

L. Sifre, Greg Durrett, Sebastian Borgeaud, 2022 .

Gemini: A Family of Highly Capable Multimodal Models

Tara N. Sainath, Dalia El Badawy, Reinald Kim Amplayo, 2023, ArXiv.

Gemma: Open Models Based on Gemini Research and Technology

Pier Giuseppe Sessa, Charline Le Lan, Christopher A. Choquette-Choo, 2024, ArXiv.