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energy function

39 papers

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Co-occurring keywords

hopfield network (31) energy-based model (251) diffusion model (3751) neural network (6616) dynamical system (398) convolutional neural network (4226) associative memory (41) attention mechanism (4001) node classification (482) out-of-distribution detection (617)

Papers

LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs AAAI 2026
FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation AAAI 2026
Motion Modes: What Could Happen Next? CVPR 2025
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection AAAI 2025
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval JMLR 2025
Dense Associative Memory Through the Lens of Random Features NIPS 2024
Improved off-policy training of diffusion samplers NIPS 2024
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models NIPS 2024
Inferring Relational Potentials in Interacting Systems ICML 2023
From Hypergraph Energy Functions to Hypergraph Neural Networks ICML 2023
On Sparse Modern Hopfield Model NIPS 2023
Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations ICML 2023
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model ICCV 2023
On Investigating the Conservative Property of Score-Based Generative Models ICML 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 NIPS 2022
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning L4DC 2022
Transformers from an Optimization Perspective NIPS 2022
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations NIPS 2022
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models ICML 2022
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences NIPS 2022
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons NIPS 2021
SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks ICML 2021
LocalGAN: Modeling Local Distributions for Adversarial Response Generation JMLR 2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers ICCV 2021