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Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
Tensor decomposition is an important tool for multiway data analysis.
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
Our method requires only linear time in input size, and still matches the information theoretical optimal sample complexity up to a data distribution dependent condition number factor.
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
We present ClimSim, the largest-ever dataset designed for hybrid ML-physics research.
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system
Our environment is riddled with sensory stimuli that are noisy, ambiguous, and often incomplete, necessitating organisms to handle uncertainty in their sensory observations.
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning
Many of those tasks have been addressed on datasets created with single climate models.
How California's New AI Law Protects Whistleblowers
Booth is a reporter at TIME. Governor Gavin Newsom speaks at Google about preparing students and workers for the next generation of technology, in San Francisco, California, on August 7, 2025. Governor Gavin Newsom speaks at Google about preparing students and workers for the next generation of technology, in San Francisco, California, on August 7, 2025. Booth is a reporter at TIME. CEOs of the companies racing to build smarter AI--Google DeepMind, OpenAI, xAI, and Anthropic--have been clear about the stakes.