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Label: Machine Learning

AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks

Computer-aided diagnosis for lung cancer screening

Using AI to expand global access to reliable flood forecasts

MELON: Reconstructing 3D objects from images with unknown poses

Cappy: Outperforming and boosting large multi-task language models with a small scorer

Graph neural networks in TensorFlow

A decoder-only foundation model for time-series forecasting

MobileDiffusion: Rapid text-to-image generation on-device

VideoPoet: A large language model for zero-shot video generation

Advancements in machine learning for machine learning

Alternating updates for efficient transformers

Zero-shot adaptive prompting of large language models

MetNet-3: A state-of-the-art neural weather model available in Google products

Looking back at wildfire research in 2023

Batch calibration: Rethinking calibration for in-context learning and prompt engineering

Re-weighted gradient descent via distributionally robust optimization

Google Research embarks on effort to map a mouse brain

Distilling step-by-step: Outperforming larger language models with less training data and smaller model sizes

World scale inverse reinforcement learning in Google Maps

A novel computational fluid dynamics framework for turbulent flow research