Poster "energy-based models" Papers
27 papers found
Conference
A Difference-of-Convex Functions Approach to Energy-Based Iterative Reasoning
Daniel Tschernutter, David Diego Castro, Maciej Kasiński
AmorLIP: Efficient Language-Image Pretraining via Amortization
Haotian Sun, Yitong Li, Yuchen Zhuang et al.
An Information-theoretical Framework for Understanding Out-of-distribution Detection with Pretrained Vision-Language Models
Bo Peng, Jie Lu, Guangquan Zhang et al.
BoltzNCE: Learning likelihoods for Boltzmann Generation with Stochastic Interpolants and Noise Contrastive Estimation
Rishal Aggarwal, Jacky Chen, Nicholas Boffi et al.
Convex Potential Mirror Langevin Algorithm for Efficient Sampling of Energy-Based Models
Zitao Yang, Amin Ullah, Shuai Li et al.
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
Yuhan Chen, Yihong Luo, Yifan Song et al.
Diffusion Federated Dataset
SEOKJU HAHN, Junghye Lee
Energy-Based Diffusion Language Models for Text Generation
Minkai Xu, Tomas Geffner, Karsten Kreis et al.
Energy Loss Functions for Physical Systems
Oumar Kaba, Kusha Sareen, Daniel Levy et al.
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling
Michal Balcerak, Tamaz Amiranashvili, Antonio Terpin et al.
ETA: Energy-based Test-time Adaptation for Depth Completion
Younjoon Chung, Hyoungseob Park, Patrick Rim et al.
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Louis Bethune, David Vigouroux, Yilun Du et al.
Graph Neural Networks Gone Hogwild
Olga Solodova, Nick Richardson, Deniz Oktay et al.
Joint Learning of Energy-based Models and their Partition Function
Michael Sander, Vincent Roulet, Tianlin Liu et al.
Models trained with unnormalized density functions: A need for a course correction
Rishal Aggarwal, Daniel Penaherrera, Justin Shao et al.
NRGBoost: Energy-Based Generative Boosted Trees
João Bravo
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts
Onur Celik, Aleksandar Taranovic, Gerhard Neumann
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
Shenzhi Yang, Bin Liang, An Liu et al.
CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
Milong Ren, Tian Zhu, Haicang Zhang
Improving Adversarial Energy-Based Model via Diffusion Process
Cong Geng, Tian Han, Peng-Tao Jiang et al.
Learning Latent Space Hierarchical EBM Diffusion Models
Jiali Cui, Tian Han
Learning Multimodal Latent Generative Models with Energy-Based Prior
Shiyu Yuan, Jiali Cui, Hanao Li et al.
Offline Transition Modeling via Contrastive Energy Learning
Ruifeng Chen, Chengxing Jia, Zefang Huang et al.
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
Songtao Liu, Hanjun Dai, Yue Zhao et al.
Principled Gradient-Based MCMC for Conditional Sampling of Text
Li Du, Afra Amini, Lucas Torroba Hennigen et al.
Shedding More Light on Robust Classifiers under the lens of Energy-based Models
Mujtaba Hussain Mirza, Maria Rosaria Briglia, Senad Beadini et al.
TEA: Test-time Energy Adaptation
Yige Yuan, Bingbing Xu, Liang Hou et al.