Showing 1–20 of 49 results
/ Date/ Name
Nov 27, 2025A Machine Learning Model for the Chemistry of a Solvated ElectronMay 28, 2019Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression ProblemsDec 15, 2020Learning Energy-Based Models by Diffusion Recovery LikelihoodJun 12, 2020MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMCJun 19, 2019Convergence of Adversarial Training in Overparametrized Neural NetworksJan 24, 2019Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local MotionOct 12, 2018Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-MotionSep 26, 2017Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and SamplingJun 18, 2020On Path Integration of Grid Cells: Group Representation and Isotropic ScalingDec 2, 2019Flow Contrastive Estimation of Energy-Based ModelsApr 5, 2024Enhanced Deep Potential Model for Fast and Accurate Molecular Dynamics; Application to the Hydrated ElectronOct 9, 2018A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative ModelsJun 11, 2024Large Language Models are Limited in Out-of-Context Knowledge ReasoningDec 25, 2020Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and AnalysisMay 27, 2024Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent SpaceOct 2, 2025Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion TransferDec 17, 2025VLIC: Vision-Language Models As Perceptual Judges for Human-Aligned Image CompressionMay 16, 2024CAT3D: Create Anything in 3D with Multi-View Diffusion ModelsMay 27, 2024On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position EmbeddingMay 27, 2024EM Distillation for One-step Diffusion Models