energy-based model

Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks AAAI 2025 Regularizing Energy among Training Samples for Out-of-Distribution Generalization ICLR 2025 Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach CVPR 2025 Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling AAAI 2025 Score-Based Training for Energy-Based TTS Models Interspeech 2025 Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling EMNLP 2025 Uncertainty and Energy Based Loss Guided Semi-Supervised Semantic Segmentation WACV 2025 UniFORM: Towards Unified Framework for Anomaly Detection on Graphs AAAI 2025 Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts ICML 2024 Adversarial Likelihood Estimation With One-Way Flows WACV 2024 A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis AAAI 2024 Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? NeurIPS 2024 ARM: Alignment with Residual Energy-Based Model NAACL 2024 Cascade of phase transitions in the training of energy-based models NeurIPS 2024 Diffusion Spectral Representation for Reinforcement Learning NeurIPS 2024 EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model ICLR 2024 EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NeurIPS 2024 Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations ICLR 2024 Energy-based Epistemic Uncertainty for Graph Neural Networks NeurIPS 2024 Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces NeurIPS 2024 Energy-Clibrated VAE with Test Time Free Lunch ECCV 2024 Energy-Guided Continuous Entropic Barycenter Estimation for General Costs NeurIPS 2024 Energy-guided Entropic Neural Optimal Transport ICLR 2024 Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination NeurIPS 2024 Exploring Energy-Based Models for Out-of-Distribution Detection in Dialect Identification Interspeech 2024