Efficient Learning of Generative Models via Finite-Difference Score
Matching

Efficient Learning of Generative Models via Finite-Difference Score Matching

7 July 2020

Kun Xu

Jun Zhu

Papers citing "Efficient Learning of Generative Models via Finite-Difference Score Matching"

19 / 19 papers shown

Title
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution Gen Li Yuchen Jiao 48 0 0 02 May 2025
Incorporating Inductive Biases to Energy-based Generative Models Yukun Li Li-Ping Liu 50 0 0 02 May 2025
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators Zekun Shi Zheyuan Hu Min-Bin Lin Kenji Kawaguchi 133 4 0 27 Nov 2024
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey V. T. Truong Luan Ba Dang Long Bao Le DiffM MedIm 42 16 0 06 Aug 2024
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 29 10 0 28 Oct 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 19 12 0 10 Jul 2023
A Score-Based Model for Learning Neural Wavefunctions Xuan Zhang Shenglong Xu Shuiwang Ji DiffM 23 1 0 25 May 2023
Training Energy-Based Normalizing Flow with Score-Matching Objectives Chen-Hao Chao Wei-Fang Sun Yen-Chang Hsu Z. Kira Chun-Yi Lee 23 2 0 24 May 2023
A Comprehensive Survey on Knowledge Distillation of Diffusion Models Weijian Luo DiffM MedIm 46 33 0 09 Apr 2023
On Calibrating Diffusion Probabilistic Models Tianyu Pang Cheng Lu Chao Du Min-Bin Lin Shuicheng Yan Zhijie Deng DiffM 27 2 0 21 Feb 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 30 28 0 07 Feb 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei-Neng Chen Shuicheng Yan Min-Bin Lin FedML 26 10 0 28 Jan 2023
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 18 4 0 24 Oct 2022
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations Fang Wu Stan Z. Li DiffM 19 31 0 19 Apr 2022
Estimating High Order Gradients of the Data Distribution by Denoising Chenlin Meng Yang Song Wenzhe Li Stefano Ermon DiffM 6 44 0 08 Nov 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 11 656 0 10 Jun 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 36 477 0 08 Mar 2021
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 210 1,156 0 24 Oct 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 227 2,543 0 25 Jan 2016