"energy-based models" Papers
13 papers found
AmorLIP: Efficient Language-Image Pretraining via Amortization
Haotian Sun, Yitong Li, Yuchen Zhuang et al.
NeurIPS 2025posterarXiv:2505.18983
2
citations
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak, Tamaz Amiranashvili, Antonio Terpin et al.
NeurIPS 2025posterarXiv:2504.10612
8
citations
Graph Neural Networks Gone Hogwild
Olga Solodova, Nick Richardson, Deniz Oktay et al.
ICLR 2025posterarXiv:2407.00494
1
citations
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
ICLR 2025posterarXiv:2410.03535
1
citations
Progressive Test Time Energy Adaptation for Medical Image Segmentation
Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park et al.
ICCV 2025highlightarXiv:2503.16616
3
citations
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
Onur Celik, Aleksandar Taranovic, Gerhard Neumann
ICML 2024poster
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang, Bin Liang, An Liu et al.
ICML 2024poster
CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
Milong Ren, Tian Zhu, Haicang Zhang
ICML 2024poster
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng, Tian Han, Peng-Tao Jiang et al.
ICML 2024poster
Learning Latent Space Hierarchical EBM Diffusion Models
Jiali Cui, Tian Han
ICML 2024poster
Offline Transition Modeling via Contrastive Energy Learning
Ruifeng Chen, Chengxing Jia, Zefang Huang et al.
ICML 2024poster
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
Songtao Liu, Hanjun Dai, Yue Zhao et al.
ICML 2024poster
Principled Gradient-Based MCMC for Conditional Sampling of Text
Li Du, Afra Amini, Lucas Torroba Hennigen et al.
ICML 2024poster