A Theory of Generative ConvNet

10 February 2016

Papers citing "A Theory of Generative ConvNet"

50 / 221 papers shown

Title
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Xiaodi Li Dingcheng Li Rujun Gao Mahmoud Zamani Latifur Khan CLL KELM 44 0 0 09 Jan 2025
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations Xin-Chao Xu Yi Qin Lu Mi Hao Wang X. Li 74 9 0 03 Jan 2025
Denoising Fisher Training For Neural Implicit Samplers Weijian Luo Wei Deng 28 0 0 03 Nov 2024
Pseudo-Non-Linear Data Augmentation via Energy Minimization Pingbang Hu Mahito Sugiyama 21 0 0 01 Oct 2024
Think Twice Before You Act: Improving Inverse Problem Solving With MCMC Y. Zhu Zehao Dou Haoxin Zheng Yasi Zhang Ying Nian Wu Ruiqi Gao DiffM 25 4 0 13 Sep 2024
Latent Space Energy-based Neural ODEs Sheng Cheng Deqian Kong Jianwen Xie Kookjin Lee Ying Nian Wu Yezhou Yang DiffM 117 1 0 05 Sep 2024
Watermarking Techniques for Large Language Models: A Survey Yuqing Liang Jiancheng Xiao Wensheng Gan Philip S. Yu OffRL 27 3 0 26 Aug 2024
Masked Generative Extractor for Synergistic Representation and 3D Generation of Point Clouds Hongliang Zeng Ping Zhang Fang Li Jiahua Wang Tingyu Ye Pengteng Guo 3DPC 37 0 0 25 Jun 2024
Hitchhiker's guide on Energy-Based Models: a comprehensive review on the relation with other generative models, sampling and statistical physics Davide Carbone 21 1 0 19 Jun 2024
Learning Iterative Reasoning through Energy Diffusion Yilun Du Jiayuan Mao Joshua B. Tenenbaum LRM PINN 48 6 0 17 Jun 2024
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations Justin Deschenaux Igor Krawczuk Grigorios G. Chrysos V. Cevher DiffM 44 3 0 29 May 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 75 7 0 29 May 2024
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models Omead Brandon Pooladzandi Jeffrey Q. Jiang Sunay Bhat Gregory Pottie AAML 26 0 0 28 May 2024
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics Sunay Bhat Jeffrey Q. Jiang Omead Brandon Pooladzandi Alexander Branch Gregory Pottie AAML 28 2 0 28 May 2024
EM Distillation for One-step Diffusion Models Sirui Xie Zhisheng Xiao Diederik P. Kingma Tingbo Hou Ying Nian Wu Kevin Patrick Murphy Tim Salimans Ben Poole Ruiqi Gao VLM DiffM 39 24 0 27 May 2024
Latent Energy-Based Odyssey: Black-Box Optimization via Expanded Exploration in the Energy-Based Latent Space Peiyu Yu Dinghuai Zhang Hengzhi He Xiaojian Ma Ruiyao Miao ... Deqian Kong Ruiqi Gao Jianwen Xie Guang Cheng Ying Nian Wu 48 5 0 27 May 2024
Multi-Label Out-of-Distribution Detection with Spectral Normalized Joint Energy Yihan Mei Xinyu Wang De-Fu Zhang Xiaoling Wang OODD 28 2 0 08 May 2024
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue L. Pang Bo An Haipeng Chen Sanjay Chawla 41 3 0 02 May 2024
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets Yang Ye Shihao Ji PINN 3DPC 33 0 0 19 Apr 2024
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models Yasi Zhang Peiyu Yu Yingnian Wu DiffM 48 10 0 10 Apr 2024
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance G. Nam Byeongho Heo Juho Lee VLM 29 5 0 01 Apr 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini Rahul G. Krishnan G. Loaiza-Ganem OODD 26 9 0 27 Mar 2024
Stochastic Geometry Models for Texture Synthesis of Machined Metallic Surfaces: Sandblasting and Milling Natascha Jeziorski C. Redenbach 16 5 0 20 Mar 2024
Energy Correction Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Clément Rambour Nicolas Thome OODD 25 0 0 15 Mar 2024
Learning Energy-based Model via Dual-MCMC Teaching Jiali Cui Tian Han 19 10 0 05 Dec 2023
Energy-based Potential Games for Joint Motion Forecasting and Control Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Timo Osterburg Torsten Bertram AI4CE 23 6 0 04 Dec 2023
Energy-Calibrated VAE with Test Time Free Lunch Yihong Luo Si-Huang Qiu Xingjian Tao Yujun Cai Jing Tang 19 4 0 07 Nov 2023
Time-series Generation by Contrastive Imitation Daniel Jarrett Ioana Bica M. Schaar AI4TS 13 24 0 02 Nov 2023
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models Belhal Karimi Jianwen Xie Ping Li DiffM 28 0 0 19 Oct 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior Jiali Cui Ying Nian Wu Tian Han BDL 28 6 0 14 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu Y. Zhu Sirui Xie Xiaojian Ma Ruiqi Gao Song-Chun Zhu Ying Nian Wu DiffM 16 11 0 05 Oct 2023
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization Frederic Koehler T. Vuong DiffM SyDa 26 3 0 03 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 34 2 0 02 Oct 2023
The Triad of Failure Modes and a Possible Way Out Emanuele Sansone 16 2 0 27 Sep 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 18 11 0 10 Sep 2023
Inferring effective couplings with Restricted Boltzmann Machines A. Decelle Cyril Furtlehner Alfonso De Jesus Navas Gómez Beatriz Seoane AI4CE 17 5 0 05 Sep 2023
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions Christopher P. Diehl Tobias Klosek Martin Krüger Nils Murzyn Torsten Bertram AI4CE 23 5 0 31 Aug 2023
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation Shikun Sun Longhui Wei Junliang Xing Jia Jia Qi Tian DiffM 17 13 0 04 Aug 2023
Adversarial Likelihood Estimation With One-Way Flows Omri Ben-Dov Pravir Singh Gupta Victoria Fernandez-Abrevaya Michael J. Black Partha Ghosh GAN DRL 24 0 0 19 Jul 2023
Fast and Functional Structured Data Generators Rooted in Out-of-Equilibrium Physics A. Carbone A. Decelle Lorenzo Rosset Beatriz Seoane SyDa 14 3 0 13 Jul 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder Zijing Ou Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 22 4 0 12 Jul 2023
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation Kirill Neklyudov J. Nys Luca Thiede Juan Carrasquilla Qiang Liu Max Welling Alireza Makhzani 25 11 0 06 Jul 2023
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition Yuwei Bao B. Lattimer J. Chai CLL 35 1 0 05 Jul 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun Z. Li Zhihua Zhang DiffM 17 8 0 04 Jul 2023
Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation Weinan Song Y. Zhu Lei He Yingnian Wu Jianwen Xie 17 1 0 26 Jun 2023
Learning Unnormalized Statistical Models via Compositional Optimization Wei Jiang Jiayu Qin Lingyu Wu Changyou Chen Tianbao Yang Lijun Zhang 26 3 0 13 Jun 2023
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting Deqian Kong Bo Pang Tian Han Ying Nian Wu DiffM 33 7 0 09 Jun 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler Weijian Luo Boya Zhang Zhihua Zhang 23 10 0 08 Jun 2023
Energy-Based Models for Cross-Modal Localization using Convolutional Transformers Alan Wu Michael S. Ryoo 25 3 0 06 Jun 2023
On Feature Diversity in Energy-based Models Firas Laakom Jenni Raitoharju Alexandros Iosifidis M. Gabbouj 22 7 0 02 Jun 2023