energy function

FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation AAAI 2026 LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs AAAI 2026 Energy-Weighted Flow Matching for Offline Reinforcement Learning ICLR 2025 Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval JMLR 2025 ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection AAAI 2025 Motion Modes: What Could Happen Next? CVPR 2025 WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction ICML 2025 Compositional Generative Inverse Design ICLR 2024 ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models NeurIPS 2024 Dense Associative Memory Through the Lens of Random Features NeurIPS 2024 Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning ICML 2024 Improved off-policy training of diffusion samplers NeurIPS 2024 Offline Transition Modeling via Contrastive Energy Learning ICML 2024 Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models ICLR 2023 Equivariant Energy-Guided SDE for Inverse Molecular Design ICLR 2023 FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model ICCV 2023 From Hypergraph Energy Functions to Hypergraph Neural Networks ICML 2023 Inferring Relational Potentials in Interacting Systems ICML 2023 Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations ICML 2023 On Investigating the Conservative Property of Score-Based Generative Models ICML 2023 On Sparse Modern Hopfield Model NeurIPS 2023 Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold ICML 2022 Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks NeurIPS 2022 EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations NeurIPS 2022 HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences NeurIPS 2022