Keane, "Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks," NBER Working Paper 35037 (2026), ...

Phantom, a developer of self-custodial crypto wallets particularly popular in the Solana ecosystem, secured a no-action letter from the U.S. Commodity Futures Trading Commission (CFTC), allowing it to ...

Abstract: Conditional diffusion models (CDMs) are an emerging family of generative models that enable controllable, data-driven generation across a wide range of modalities. Through conditioning of ...

Abstract: Deep learning models have the potential to improve the accuracy and speed of medical microwave imaging. However, their performance often suffers due to a lack of high-quality data.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

CLARM is a unsupervised deep learning approach to learn spatiotemporal dynamics. CLARM consists of a CVAE and LSTM combined together in an autoregressive loop to learn spatial and temporal dynamics ...

Reference implementation for conditional geological facies generation with both a U-Net GAN baseline and a latent diffusion pipeline. For the default U-Net GAN setup, the code uses dataset/facies_200/ ...

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...