{"total":60,"rows":[{"id":"2103.04922","title":"Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models","created":"2021-03-08","cited_by_count":252,"area":null},{"id":"2112.13528","title":"Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction","created":"2021-12-27","cited_by_count":57,"area":null},{"id":"2206.08321","title":"Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning","created":"2022-06-16","cited_by_count":56,"area":null},{"id":"2105.04551","title":"Stochastic Image-to-Video Synthesis using cINNs","created":"2021-05-10","cited_by_count":49,"area":null},{"id":"2207.00787","title":"Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation","created":"2022-07-02","cited_by_count":46,"area":null},{"id":"2105.03136","title":"Interpretable Social Anchors for Human Trajectory Forecasting in Crowds","created":"2021-05-07","cited_by_count":44,"area":null},{"id":"2205.06924","title":"A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model","created":"2022-05-13","cited_by_count":44,"area":null},{"id":"2406.11179","title":"Learning Iterative Reasoning through Energy Diffusion","created":"2024-06-17","cited_by_count":36,"area":null},{"id":"2401.14142","title":"Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations","created":"2024-01-25","cited_by_count":33,"area":null},{"id":"2109.09032","title":"JEM++: Improved Techniques for Training JEM","created":"2021-09-19","cited_by_count":28,"area":null},{"id":"2304.06094","title":"Energy-guided Entropic Neural Optimal Transport","created":"2023-04-12","cited_by_count":26,"area":null},{"id":"2309.05153","title":"Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood","created":"2023-09-10","cited_by_count":19,"area":"diffusion"},{"id":"2405.00987","title":"S$^2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic","created":"2024-05-02","cited_by_count":18,"area":"deeprl"},{"id":"2304.02012","title":"EGC: Image Generation and Classification via a Diffusion Energy-Based Model","created":"2023-04-04","cited_by_count":16,"area":null},{"id":"2305.19414","title":"Efficient Training of Energy-Based Models Using Jarzynski Equality","created":"2023-05-30","cited_by_count":15,"area":null},{"id":"2308.02154","title":"SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation","created":"2023-08-04","cited_by_count":14,"area":"diffusion"},{"id":"2211.09224","title":"Are we certain it's anomalous?","created":"2022-11-16","cited_by_count":13,"area":null},{"id":"2106.07832","title":"Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent","created":"2021-06-15","cited_by_count":10,"area":null},{"id":"2111.00929","title":"Bounds all around: training energy-based models with bidirectional bounds","created":"2021-11-01","cited_by_count":10,"area":null},{"id":"2110.06427","title":"Dense Uncertainty Estimation","created":"2021-10-13","cited_by_count":9,"area":null},{"id":"2111.02434","title":"Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling","created":"2021-11-03","cited_by_count":9,"area":null},{"id":"2312.01811","title":"Energy-based Potential Games for Joint Motion Forecasting and Control","created":"2023-12-04","cited_by_count":9,"area":null},{"id":"2103.04285","title":"Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation","created":"2021-03-07","cited_by_count":8,"area":null},{"id":"2106.13389","title":"Energy-Based Generative Cooperative Saliency Prediction","created":"2021-06-25","cited_by_count":8,"area":null},{"id":"2112.09822","title":"Multimeasurement Generative Models","created":"2021-12-18","cited_by_count":8,"area":null},{"id":"2301.09300","title":"A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference","created":"2023-01-23","cited_by_count":7,"area":null},{"id":"2312.02469","title":"Learning Energy-based Model via Dual-MCMC Teaching","created":"2023-12-05","cited_by_count":7,"area":null},{"id":"2403.01666","title":"Improving Adversarial Energy-Based Model via Diffusion Process","created":"2024-03-04","cited_by_count":7,"area":null},{"id":"2306.07485","title":"Learning Unnormalized Statistical Models via Compositional Optimization","created":"2023-06-13","cited_by_count":6,"area":null},{"id":"2405.13910","title":"Learning Latent Space Hierarchical EBM Diffusion Models","created":"2024-05-22","cited_by_count":6,"area":"diffusion"},{"id":"2203.07902","title":"Generalized Rectifier Wavelet Covariance Models For Texture Synthesis","created":"2022-03-14","cited_by_count":5,"area":null},{"id":"2510.12311","title":"Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics","created":"2025-10-14","cited_by_count":5,"area":null},{"id":"2206.12840","title":"Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One","created":"2022-06-26","cited_by_count":4,"area":null},{"id":"2208.12055","title":"Combating Mode Collapse in GANs via Manifold Entropy Estimation","created":"2022-08-25","cited_by_count":4,"area":null},{"id":"2304.10707","title":"Persistently Trained, Diffusion-assisted Energy-based Models","created":"2023-04-21","cited_by_count":4,"area":null},{"id":"2308.16539","title":"On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions","created":"2023-08-31","cited_by_count":4,"area":null},{"id":"2110.11948","title":"Learning Proposals for Practical Energy-Based Regression","created":"2021-10-22","cited_by_count":3,"area":null},{"id":"2204.08803","title":"An Energy-Based Prior for Generative Saliency","created":"2022-04-19","cited_by_count":3,"area":null},{"id":"2311.14334","title":"Maximizing Discrimination Capability of Knowledge Distillation with Energy Function","created":"2023-11-24","cited_by_count":3,"area":"distill"},{"id":"2105.04538","title":"Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels","created":"2021-05-10","cited_by_count":2,"area":null},{"id":"2106.03343","title":"Energy Aligning for Biased Models","created":"2021-06-07","cited_by_count":2,"area":null},{"id":"2106.13798","title":"Conjugate Energy-Based Models","created":"2021-06-25","cited_by_count":2,"area":null},{"id":"2303.11649","title":"CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning","created":"2023-03-21","cited_by_count":2,"area":null},{"id":"2303.16050","title":"Information-Theoretic GAN Compression with Variational Energy-based Model","created":"2023-03-28","cited_by_count":2,"area":"distill"},{"id":"2403.13439","title":"Stochastic Geometry Models for Texture Synthesis of Machined Metallic Surfaces: Sandblasting and Milling","created":"2024-03-20","cited_by_count":2,"area":null},{"id":"2504.16262","title":"Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching","created":"2025-04-22","cited_by_count":2,"area":null},{"id":"2510.00260","title":"Learning Energy-based Variational Latent Prior for VAEs","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2605.16776","title":"Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning","created":"2026-05-16","cited_by_count":2,"area":"safety"},{"id":"2210.04288","title":"CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing","created":"2022-10-09","cited_by_count":1,"area":null},{"id":"2303.03887","title":"How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model","created":"2023-03-05","cited_by_count":1,"area":null},{"id":"2306.14448","title":"Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation","created":"2023-06-26","cited_by_count":1,"area":null},{"id":"2602.14844","title":"Interactionless Inverse Reinforcement Learning: A Data-Centric Framework for Durable Alignment","created":"2026-02-16","cited_by_count":1,"area":"offlinerl"},{"id":"2603.17579","title":"One-Step Sampler for Boltzmann Distributions via Drifting","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2103.08475","title":"Deep Consensus Learning","created":"2021-03-15","cited_by_count":0,"area":null},{"id":"2310.12667","title":"STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models","created":"2023-10-19","cited_by_count":0,"area":null},{"id":"2404.12925","title":"A Hybrid Generative and Discriminative PointNet on Unordered Point Sets","created":"2024-04-19","cited_by_count":0,"area":null},{"id":"2407.15238","title":"Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling","created":"2024-07-21","cited_by_count":0,"area":null},{"id":"2505.20330","title":"Joint-stochastic-approximation Random Fields with Application to Semi-supervised Learning","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2506.04609","title":"Exploring bidirectional bounds for minimax-training of Energy-based models","created":"2025-06-05","cited_by_count":0,"area":null},{"id":"2506.07843","title":"Jarzynski Reweighting and Sampling Dynamics for Training Energy-Based Models: Theoretical Analysis of Different Transition Kernels","created":"2025-06-09","cited_by_count":0,"area":null}],"next_cursor":null}