contrastive divergence

Preference Optimization via Contrastive Divergence: Your Policy Is Secretly an NLL Estimator AAAI 2026 LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation ICML 2025 Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody Designer AAAI 2025 Bayesian Pseudo-Coresets via Contrastive Divergence UAI 2024 EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model ICLR 2024 Near-Optimality of Contrastive Divergence Algorithms NeurIPS 2024 On the connection between Noise-Contrastive Estimation and Contrastive Divergence AISTATS 2024 End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization ICML 2023 Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma AAAI 2023 Contrastive Divergence Learning is a Time Reversal Adversarial Game ICLR 2021 Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines NeurIPS 2021 Improved Contrastive Divergence Training of Energy-Based Models ICML 2021 Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent NeurIPS 2021 Pseudo-Spherical Contrastive Divergence NeurIPS 2021 XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021 Contrastive Divergence Learning with Chained Belief Propagation PGM 2020 Training Deep Energy-Based Models with f-Divergence Minimization ICML 2020 Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models ICLR 2020 Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019 Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates ACML 2019 Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018 Belief Propagation in Conditional RBMs for Structured Prediction AISTATS 2017 Learning RBM with a DC programming Approach ACML 2017 A Theory of Generative ConvNet ICML 2016 Learning Infinite RBMs with Frank-Wolfe NeurIPS 2016