Google Deepmind

发表

Posterior sampling-based online learning for the stochastic shortest path model

Haipeng Luo, Mehdi Jafarnia-Jahromi, Rahul Jain, 2023, UAI.

Demonstrating Large Language Models on Robots

Ted Xiao, Brian Ichter, Vikas Sindhwani, 2023, Robotics: Science and Systems.

Ordering-based Conditions for Global Convergence of Policy Gradient Methods

D. Schuurmans, Jincheng Mei, Google Deepmind, 2022 .

Energy-based Predictive Representations for Partially Observed Reinforcement Learning

D. Schuurmans, Joseph E. Gonzalez, Bo Dai, 2023, UAI.

Snowcat: Efficient Kernel Concurrency Testing using a Learned Coverage Predictor

Petros Maniatis, Sishuai Gong, Deniz Altinbüken, 2023, SOSP.

The 3rd Workshop on Continuous Vector Space Models and Their Compositionality (cvsc) Recursive Neural Networks Can Learn Logical Semantics Joint Semantic Relevance Learning with Text Data and Graph Knowledge Exploring the Effect of Semantic Similarity for Phrase-based Machine Translation Incremental

L. Bottou, Kristina Toutanova, Edward Grefenstette, 2022 .

Latent Space Representations of Neural Algorithmic Reasoners

Razvan Pascanu, Vladimir V. Mirjani'c, Petar Velivckovi'c University of Cambridge, 2023, LoG.

Verified Neural Compressed Sensing

Robert Stanforth, Rudy Bunel, A. Palma, 2024, ArXiv.

Self-supervised video pretraining yields human-aligned visual representations

Olivier J. Hénaff, S. Eslami, João Carreira, 2022, 2210.06433.

DiscoBAX: Discovery of optimal intervention sets in genomic experiment design

Clare Lyle, Y. Gal, Stefan Bauer, 2023, ICML.

(Unfair) Norms in Fairness Research: A Meta-Analysis

Nenad Tomašev, Google Research, Nahema Marchal, 2024, 2407.16895.