energy-based model

MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space EMNLP 2023 Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control EMNLP 2023 Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting UAI 2023 Moment Matching Denoising Gibbs Sampling NeurIPS 2023 NeuPSL: Neural Probabilistic Soft Logic IJCAI 2023 Neural Sampling in Hierarchical Exponential-family Energy-based Models NeurIPS 2023 Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy ICLR 2023 PAC-Bayesian Generalization Bounds for Adversarial Generative Models ICML 2023 Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC ICML 2023 Robust and Controllable Object-Centric Learning through Energy-based Models ICLR 2023 Secure Out-of-Distribution Task Generalization with Energy-Based Models NeurIPS 2023 Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows ICML 2023 Statistical Efficiency of Score Matching: The View from Isoperimetry ICLR 2023 Training Energy-Based Normalizing Flow with Score-Matching Objectives NeurIPS 2023 Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models EACL 2023 Undirected Probabilistic Model for Tensor Decomposition NeurIPS 2023 Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation NeurIPS 2023 VBD-NLP at BioLaySumm Task 1: Explicit and Implicit Key Information Selection for Lay Summarization on Biomedical Long Documents ACL 2023 Versatile Energy-Based Probabilistic Models for High Energy Physics NeurIPS 2023 Active Learning for Domain Adaptation: An Energy-Based Approach AAAI 2022 Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model NeurIPS 2022 A prior-based approximate latent Riemannian metric AISTATS 2022 A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model ICLR 2022 A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training ICLR 2022 Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models CVPR 2022