A Theory of Generative ConvNet

10 February 2016

Papers citing "A Theory of Generative ConvNet"

50 / 221 papers shown

Title
3DILG: Irregular Latent Grids for 3D Generative Modeling Biao Zhang Matthias Nießner Peter Wonka 3DV 30 87 0 27 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling Mitch Hill Jonathan Mitchell Chu Chen Yuan Du M. Shah Song-Chun Zhu 12 0 0 24 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu J. Li Ping Li 24 50 0 13 May 2022
An Energy-Based Prior for Generative Saliency Jing Zhang Jianwen Xie Nick Barnes Ping Li 37 3 0 19 Apr 2022
Energy-based Latent Aligner for Incremental Learning K. J. Joseph Salman Khan F. Khan Rao Muhammad Anwer V. Balasubramanian CLL 33 46 0 28 Mar 2022
Generalized Rectifier Wavelet Covariance Models For Texture Synthesis Antoine Brochard Sixin Zhang S. Mallat 36 5 0 14 Mar 2022
Structured Multi-task Learning for Molecular Property Prediction Shengchao Liu Meng Qu Zuobai Zhang Huiyu Cai Jian Tang 13 24 0 22 Feb 2022
Generative Flow Networks for Discrete Probabilistic Modeling Dinghuai Zhang Nikolay Malkin Z. Liu Alexandra Volokhova Aaron Courville Yoshua Bengio 9 102 0 03 Feb 2022
Semi-supervised Salient Object Detection with Effective Confidence Estimation Jiawei Liu Jing Zhang Nick Barnes 31 4 0 28 Dec 2021
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang Jianwen Xie Nick Barnes Ping Li ViT 35 90 0 27 Dec 2021
Multimeasurement Generative Models Saeed Saremi R. Srivastava 17 8 0 18 Dec 2021
Learning to Compose Visual Relations Nan Liu Shuang Li Yilun Du J. Tenenbaum Antonio Torralba CoGe OCL 21 77 0 17 Nov 2021
Unsupervised Learning of Compositional Energy Concepts Yilun Du Shuang Li Yash Sharma J. Tenenbaum Igor Mordatch CoGe OCL 21 76 0 04 Nov 2021
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling Greg Ver Steeg Aram Galstyan 33 13 0 03 Nov 2021
Learning Proposals for Practical Energy-Based Regression L. Kumar Martin Danelljan Thomas B. Schon 30 4 0 22 Oct 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models Weili Nie Arash Vahdat Anima Anandkumar 19 78 0 21 Oct 2021
Well-classified Examples are Underestimated in Classification with Deep Neural Networks Guangxiang Zhao Wenkai Yang Xuancheng Ren Lei Li Yunfang Wu Xu Sun 23 15 0 13 Oct 2021
Dense Uncertainty Estimation Jing Zhang Yuchao Dai Mochu Xiang Deng-Ping Fan Peyman Moghadam Mingyi He Christian J. Walder Kaihao Zhang Mehrtash Harandi Nick Barnes UQCV BDL 54 10 0 13 Oct 2021
Can multi-label classification networks know what they don't know? Haoran Wang Weitang Liu Alex E. Bocchieri Yixuan Li OODD 46 124 0 29 Sep 2021
JEM++: Improved Techniques for Training JEM Xiulong Yang Shihao Ji AAML VLM 13 27 0 19 Sep 2021
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds Siyuan Huang Yichen Xie Song-Chun Zhu Yixin Zhu 3DPC 21 205 0 01 Sep 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification Bo Pang Ying Nian Wu 19 18 0 26 Aug 2021
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations Chenlin Meng Yutong He Yang Song Jiaming Song Jiajun Wu Jun-Yan Zhu Stefano Ermon DiffM 26 1,410 0 02 Aug 2021
Directly Training Joint Energy-Based Models for Conditional Synthesis and Calibrated Prediction of Multi-Attribute Data Jacob Kelly R. Zemel Will Grathwohl 36 2 0 19 Jul 2021
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks Carles Domingo-Enrich A. Bietti Marylou Gabrié Joan Bruna Eric Vanden-Eijnden FedML 32 6 0 11 Jul 2021
Conjugate Energy-Based Models Hao Wu Babak Esmaeili Michael L. Wick Jean-Baptiste Tristan Jan Willem van de Meent 18 2 0 25 Jun 2021
Energy-Based Generative Cooperative Saliency Prediction Jing Zhang Jianwen Xie Zilong Zheng Nick Barnes 25 12 0 25 Jun 2021
Energy Aligning for Biased Models Bowen Zhao Chen Chen Qi Ju Shutao Xia 20 1 0 07 Jun 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 27 38 0 12 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 78 7,410 0 11 May 2021
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models Jiaxiang Wu Shitong Luo Tao Shen Haidong Lan Sheng Wang Junzhou Huang DiffM 24 8 0 11 May 2021
An Energy-Based View of Graph Neural Networks John Y. Shin Prathamesh Dharangutte GNN 22 1 0 27 Apr 2021
CAGAN: Text-To-Image Generation with Combined Attention GANs Henning Schulze Dogucan Yaman Alexander Waibel GAN 27 3 0 26 Apr 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks Carles Domingo-Enrich A. Bietti Eric Vanden-Eijnden Joan Bruna BDL 17 9 0 15 Apr 2021
Trajectory Prediction with Latent Belief Energy-Based Model Bo Pang Tianyang Zhao Xu Xie Ying Nian Wu 19 89 0 07 Apr 2021
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution Chi Zhang Baoxiong Jia Song-Chun Zhu Yixin Zhu 20 69 0 26 Mar 2021
Synthesize-It-Classifier: Learning a Generative Classifier through RecurrentSelf-analysis Arghya Pal Raphaël C.-W. Phan Koksheik Wong DiffM 34 3 0 26 Mar 2021
Deep Consensus Learning Wei Sun Tianfu Wu 29 2 0 15 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 36 478 0 08 Mar 2021
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation Jianwen Xie Zilong Zheng Xiaolin Fang Song-Chun Zhu Ying Nian Wu 14 14 0 07 Mar 2021
RNA Alternative Splicing Prediction with Discrete Compositional Energy Network Alvin Chan A. Korsakova Yew-Soon Ong F. Winnerdy K. W. Lim A. Phan CoGe 14 1 0 07 Mar 2021
EBMs Trained with Maximum Likelihood are Generator Models Trained with a Self-adverserial Loss Zhisheng Xiao Qing Yan Y. Amit 29 2 0 23 Feb 2021
Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu Shitong Luo Yoshua Bengio Jian-wei Peng Jian Tang AI4CE 19 115 0 20 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 22 84 0 31 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 24 241 0 09 Jan 2021
Energy-constrained Self-training for Unsupervised Domain Adaptation Xiaofeng Liu Bo Hu Xiongchang Liu Jun Lu J. You Lingsheng Kong 44 29 0 01 Jan 2021
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler Jianwen Xie Zilong Zheng Ping Li 14 53 0 29 Dec 2020
Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis Jianwen Xie Zilong Zheng Ruiqi Gao Wenguan Wang Song-Chun Zhu Ying Nian Wu 3DV 20 49 0 25 Dec 2020
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao Yang Song Ben Poole Ying Nian Wu Diederik P. Kingma DiffM 6 124 0 15 Dec 2020
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 30 9 0 11 Dec 2020