A Theory of Generative ConvNet

10 February 2016

Papers citing "A Theory of Generative ConvNet"

50 / 221 papers shown

Title
Efficient Training of Energy-Based Models Using Jarzynski Equality D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 16 4 0 30 May 2023
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection Marc Lafon Elias Ramzi Clément Rambour Nicolas Thome OODD 29 10 0 26 May 2023
Moment Matching Denoising Gibbs Sampling Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 24 3 0 19 May 2023
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement N. Gkanatsios Ayush Jain Zhou Xian Yunchu Zhang C. Atkeson Katerina Fragkiadaki LM&Ro 98 31 0 27 Apr 2023
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation Zhaoyan Liu Noël Vouitsis S. Gorti Jimmy Ba G. Loaiza-Ganem ViT 27 1 0 26 Apr 2023
Learning Symbolic Representations Through Joint GEnerative and DIscriminative Training Emanuele Sansone Robin Manhaeve BDL FedML GAN 23 5 0 22 Apr 2023
Persistently Trained, Diffusion-assisted Energy-based Models Xinwei Zhang Z. Tan Zhijian Ou DiffM 4 2 0 21 Apr 2023
Likelihood-Based Generative Radiance Field with Latent Space Energy-Based Model for 3D-Aware Disentangled Image Representation Y. Zhu Jianwen Xie Ping Li MedIm 20 4 0 16 Apr 2023
Energy-guided Entropic Neural Optimal Transport Petr Mokrov Alexander Korotin Alexander Kolesov Nikita Gushchin Evgeny Burnaev OT 49 21 0 12 Apr 2023
Binary Latent Diffusion Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 21 13 0 10 Apr 2023
Learning Energy-Based Representations of Quantum Many-Body States Abhijith Jayakumar Marc Vuffray A. Lokhov AI4CE 27 3 0 08 Apr 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model Qiushan Guo Chuofan Ma Yi-Xin Jiang Zehuan Yuan Yizhou Yu Ping Luo DiffM 17 6 0 04 Apr 2023
Non-Generative Energy Based Models Jacob Piland Christopher Sweet Priscila Saboia Charles Vardeman A. Czajka 30 0 0 03 Apr 2023
Information-Theoretic GAN Compression with Variational Energy-based Model Minsoo Kang Hyewon Yoo Eunhee Kang Sehwan Ki Hyong-Euk Lee Bohyung Han GAN 20 3 0 28 Mar 2023
CoopInit: Initializing Generative Adversarial Networks via Cooperative Learning Yang Zhao Jianwen Xie Ping Li GAN 35 3 0 21 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning Z. Yu Yin Li Yong Jae Lee 21 10 0 13 Mar 2023
Generative Modeling with Flow-Guided Density Ratio Learning Alvin Heng Abdul Fatir Ansari Harold Soh 8 1 0 07 Mar 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training Ziyu Guo Renrui Zhang Longtian Qiu Xianzhi Li Pheng-Ann Heng 3DPC 30 52 0 27 Feb 2023
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Yilun Du Conor Durkan Robin Strudel J. Tenenbaum Sander Dieleman Rob Fergus Jascha Narain Sohl-Dickstein Arnaud Doucet Will Grathwohl DiffM 24 130 0 22 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao Xiantong Zhen Shengcai Liao Cees G. M. Snoek TTA 48 17 0 22 Feb 2023
Geometry of Score Based Generative Models S. Ghimire Jinyang Liu Armand Comas Massague Davin Hill A. Masoomi Octavia Camps Jennifer Dy DiffM 33 8 0 09 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 19 57 0 06 Feb 2023
Divide and Compose with Score Based Generative Models S. Ghimire Armand Comas Davin Hill A. Masoomi Octavia Camps Jennifer Dy DiffM 25 0 0 05 Feb 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models Ze Wang Jiang Wang Zicheng Liu Qiang Qiu 21 8 0 02 Feb 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng Aaron Courville DiffM 17 0 0 01 Feb 2023
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models Biao Zhang Jiapeng Tang Matthias Niessner Peter Wonka DiffM 25 196 0 26 Jan 2023
Explaining the effects of non-convergent sampling in the training of Energy-Based Models E. Agoritsas Giovanni Catania A. Decelle Beatriz Seoane DiffM 14 10 0 23 Jan 2023
A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference Jianwen Xie Y. Zhu Yifei Xu Dingcheng Li Ping Li BDL DRL 19 7 0 23 Jan 2023
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement Y. Li Xin-xin Lu Yaqing Wang De-Yu Dou DiffM AI4TS 14 99 0 08 Jan 2023
GEDI: GEnerative and DIscriminative Training for Self-Supervised Learning Emanuele Sansone Robin Manhaeve SSL 17 9 0 27 Dec 2022
Robust Graph Representation Learning via Predictive Coding Billy Byiringiro Tommaso Salvatori Thomas Lukasiewicz OOD 23 6 0 09 Dec 2022
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference Yabin Wang Zhiheng Ma Zhiwu Huang Yaowei Wang Zhou Su Xiaopeng Hong 13 40 0 29 Nov 2022
On the Complexity of Bayesian Generalization Yuge Shi Manjie Xu J. Hopcroft Kun He J. Tenenbaum Song-Chun Zhu Ying Nian Wu Wenjuan Han Yixin Zhu 20 4 0 20 Nov 2022
Are we certain it's anomalous? Alessandro Flaborea Bardh Prenkaj Bharti Munjal Marco Aurelio Sterpa Dario Aragona L. Podo Fabio Galasso 19 8 0 16 Nov 2022
Energy-Based Residual Latent Transport for Unsupervised Point Cloud Completion Rui-Qing Cui Shi Qiu Saeed Anwar Jing Zhang Nick Barnes DiffM 29 11 0 13 Nov 2022
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM Mitch Hill Erik Nijkamp Jonathan Mitchell Bo Pang Song-Chun Zhu 82 11 0 29 Oct 2022
Maximum entropy exploration in contextual bandits with neural networks and energy based models A. Elwood Marco Leonardi A. Mohamed A. Rozza 16 1 0 12 Oct 2022
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models Meng Liu Haoran Liu Shuiwang Ji 24 5 0 11 Oct 2022
CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing Khoa D. Doan Jianwen Xie Y. Zhu Yang Zhao Ping Li GAN 15 2 0 09 Oct 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 224 1,300 0 02 Sep 2022
Constraining Pseudo-label in Self-training Unsupervised Domain Adaptation with Energy-based Model Lingsheng Kong Bo Hu Xiongchang Liu Jun Lu Jane You Xiaofeng Liu 18 12 0 26 Aug 2022
Combating Mode Collapse in GANs via Manifold Entropy Estimation Haozhe Liu Bing Li Haoqian Wu Hanbang Liang Yawen Huang Yuexiang Li Bernard Ghanem Yefeng Zheng GAN DRL 25 9 0 25 Aug 2022
Semantic Driven Energy based Out-of-Distribution Detection Abhishek Joshi Sathish Chalasani K. N. Iyer OODD 24 4 0 23 Aug 2022
Implicit Two-Tower Policies Yunfan Zhao Qingkai Pan K. Choromanski Deepali Jain Vikas Sindhwani OffRL 26 3 0 02 Aug 2022
Variational Flow Graphical Model Shaogang Ren Belhal Karimi Dingcheng Li Ping Li 15 4 0 06 Jul 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 57 59 0 02 Jul 2022
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation Xin-Yang Zheng Yang Liu Peng-Shuai Wang Xin Tong 16 97 0 24 Jun 2022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation Brendan Leigh Ross G. Loaiza-Ganem Anthony L. Caterini Jesse C. Cresswell AI4CE 26 2 0 22 Jun 2022
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning Hyunwoo Ryu Jeong-Hoon Lee Honglak Lee Jongeun Choi 37 53 0 16 Jun 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 34 81 0 13 Jun 2022