Robuta

Sponsor of the Day: Jerkmate

https://openreview.net/forum?id=FOfU3qhcIG TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks | OpenReview While tabular classification has traditionally relied on from-scratch training, a recent breakthrough called prior-data fitted networks (PFNs) challenges this... prior data fitted networks openreview context optimization scalable https://openreview.net/forum?id=xgTV6rmH6n Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks | OpenReview Learning curve extrapolation aims to predict model performance in later epochs of training, based on the performance in earlier epochs. In this work, we argue... prior data fitted efficient bayesian learning curve networks openreview extrapolation https://openreview.net/forum?id=VQpqxucNX63 Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks | OpenReview We show that Prior-data Fitted Networks (PFNs) compare favorably against MCMC for learning curve inference. prior data fitted efficient bayesian learning curve networks openreview extrapolation https://openreview.net/forum?id=NSVtmmzeRB Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks | OpenReview Advanced generative model (\textit{e.g.}, diffusion model) derived from simplified continuity assumptions of data distribution, though showing promising... bayesian flow networks unified generative modeling 3d https://openreview.net/forum?id=C1_esHN6AVn Learning Synthetic Environments and Reward Networks for Reinforcement Learning | OpenReview We introduce Synthetic Environments (SEs) and Reward Networks (RNs), represented by neural networks, as proxy environment models for training Reinforcement... learning synthetic environments reward networks