energy-based model

Towards training digitally-tied analog blocks via hybrid gradient computation NeurIPS 2024 Uncertainty Visualization via Low-Dimensional Posterior Projections CVPR 2024 A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation CoNLL 2023 Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning ICLR 2023 Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models ICML 2023 BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion ICLR 2023 Better Training of GFlowNets with Local Credit and Incomplete Trajectories ICML 2023 BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases ACL 2023 CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift NeurIPS 2023 Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow UAI 2023 Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning ICML 2023 CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning AAAI 2023 Defending Black-Box Skeleton-Based Human Activity Classifiers AAAI 2023 DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding EMNLP 2023 DISCS: A Benchmark for Discrete Sampling NeurIPS 2023 Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons ICML 2023 Efficient Training of Energy-Based Models Using Jarzynski Equality NeurIPS 2023 EGC: Image Generation and Classification via a Diffusion Energy-Based Model ICCV 2023 Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models NeurIPS 2023 Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement RSS 2023 Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NeurIPS 2023 Energy-Based Models for Functional Data using Path Measure Tilting AISTATS 2023 Energy-based Potential Games for Joint Motion Forecasting and Control CoRL 2023 Energy-based Predictive Representations for Partially Observed Reinforcement Learning UAI 2023 Energy-Based Sliced Wasserstein Distance NeurIPS 2023