Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 900 papers shown

Title
Liouville Flow Importance Sampler Yifeng Tian Nishant Panda Yen Ting Lin 36 8 0 03 May 2024
A deep causal inference model for fully-interpretable travel behaviour analysis K. Kamal Bilal Farooq 42 0 0 02 May 2024
S $^2$ AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic Safa Messaoud Billel Mokeddem Zhenghai Xue Linsey Pang Bo An Haipeng Chen Sanjay Chawla 43 3 0 02 May 2024
Deep generative modelling of canonical ensemble with differentiable thermal properties Shuo-Hui Li Yao-Wen Zhang Ding Pan DRL SyDa 41 1 0 29 Apr 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 44 3 0 29 Apr 2024
A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints Bram De Cooman Johan A. K. Suykens 38 0 0 25 Apr 2024
VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving Zero-Shot Voice Editing Philip Anastassiou Zhenyu Tang Kainan Peng Dongya Jia Jiaxin Li Ming Tu Yuping Wang Yuxuan Wang Mingbo Ma 42 4 0 10 Apr 2024
Variational Bayesian Optimal Experimental Design with Normalizing Flows Jiayuan Dong Christian L. Jacobsen Mehdi Khalloufi Maryam Akram Wanjiao Liu Karthik Duraisamy Xun Huan BDL 59 6 0 08 Apr 2024
MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators Shenghai Yuan Jinfa Huang Yujun Shi Yongqi Xu Ruijie Zhu Bin Lin Xinhua Cheng Li-xin Yuan Jiebo Luo VGen 83 34 0 07 Apr 2024
Bayesian Inference for Consistent Predictions in Overparameterized Nonlinear Regression Tomoya Wakayama BDL 57 0 0 06 Apr 2024
CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests Susanne Dandl Kristin Blesch Timo Freiesleben Gunnar Konig Jan Kapar B. Bischl Marvin N. Wright AAML 32 5 0 04 Apr 2024
Multi Positive Contrastive Learning with Pose-Consistent Generated Images Sho Inayoshi Aji Resindra Widya Satoshi Ozaki Junji Otsuka Takeshi Ohashi 3DH 52 1 0 04 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 45 6 0 29 Mar 2024
Personalized 3D Human Pose and Shape Refinement Tom Wehrbein Bodo Rosenhahn Iain A. Matthews Carsten Stoll 3DH 33 1 0 18 Mar 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao Yi-Chen Lo Chia-Che Chang Hao-Wei Chen Roy Tseng Chien Feng Chun-Yi Lee SupR 34 4 0 16 Mar 2024
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 29 0 0 13 Mar 2024
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving Adam R. Villaflor Brian Yang Huangyuan Su Katerina Fragkiadaki John M. Dolan Jeff Schneider 59 0 0 12 Mar 2024
On the Nonconvexity of Push-Forward Constraints and Its Consequences in Machine Learning Lucas de Lara Mathis Deronzier Alberto González Sanz Virgile Foy 22 0 0 12 Mar 2024
Diffusion Model-Based Image Editing: A Survey Yi Huang Jiancheng Huang Yifan Liu Mingfu Yan Jiaxi Lv Jianzhuang Liu Wei Xiong He Zhang Liangliang Cao Liangliang Cao EGVM 66 87 0 27 Feb 2024
Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference G. Edenhofer Philipp Frank Jakob Roth R. Leike Massin Guerdi L. Scheel-Platz M. Guardiani Vincent Eberle M. Westerkamp T. Ensslin 32 9 0 26 Feb 2024
Stable Training of Normalizing Flows for High-dimensional Variational Inference Daniel Andrade BDL TPM 43 1 0 26 Feb 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning Kaan Ozkara Bruce Huang Ruida Zhou Suhas Diggavi 89 0 0 19 Feb 2024
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities Tara Akhound-Sadegh Jarrid Rector-Brooks A. Bose Sarthak Mittal Pablo Lemos ... Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong DiffM 45 42 0 09 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 68 18 0 07 Feb 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez 36 13 0 06 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation Pablo Lemos Sammy N. Sharief Nikolay Malkin Laurence Perreault Levasseur Y. Hezaveh Laurence Perreault-Levasseur Yashar Hezaveh 39 3 0 06 Feb 2024
Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations Zuojin Tang Xiaoyu Chen YongQiang Li Jianyu Chen 26 2 0 22 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 45 1 0 05 Jan 2024
Graph-Convolutional Autoencoder Ensembles for the Humanities, Illustrated with a Study of the American Slave Trade Tom Lippincott AI4CE 21 0 0 01 Jan 2024
Accent-VITS:accent transfer for end-to-end TTS Linhan Ma Yongmao Zhang Xinfa Zhu Yinjiao Lei Ziqian Ning Pengcheng Zhu Lei Xie 27 7 0 28 Dec 2023
FAKEPCD: Fake Point Cloud Detection via Source Attribution Y. Qu Zhikun Zhang Yun Shen Michael Backes Yang Zhang 3DPC 40 0 0 18 Dec 2023
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems Christian L. Jacobsen Yilin Zhuang Karthik Duraisamy AI4CE SyDa DiffM 34 17 0 16 Dec 2023
A Survey of Generative AI for Intelligent Transportation Systems Huan Yan Yong Li 28 8 0 13 Dec 2023
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 34 2 0 13 Dec 2023
GMTalker: Gaussian Mixture-based Audio-Driven Emotional Talking Video Portraits Yibo Xia Lizhen Wang Xiang Deng Xiaoyan Luo Yunhong Wang Yebin Liu VGen 52 1 0 12 Dec 2023
Optimizing Likelihood-free Inference using Self-supervised Neural Symmetry Embeddings D. Chatterjee Philip C. Harris Maanas Goel Malina Desai Michael W. Coughlin E. Katsavounidis 31 1 0 11 Dec 2023
Resetting a fixed broken ELBO R. Cukier BDL DRL 21 0 0 11 Dec 2023
Investigating the Design Space of Diffusion Models for Speech Enhancement Philippe Gonzalez Zheng-Hua Tan Jan Østergaard Jesper Jensen T. S. Alstrøm Tobias May DiffM 33 6 0 07 Dec 2023
Stochastic Optimal Control Matching Carles Domingo-Enrich Jiequn Han Brandon Amos Joan Bruna Ricky T. Q. Chen DiffM 20 6 0 04 Dec 2023
OpenVoice: Versatile Instant Voice Cloning Zengyi Qin Wenliang Zhao Xumin Yu Xin Sun VLM 37 20 0 03 Dec 2023
On Exact Inversion of DPM-Solvers Seongmin Hong Kyeonghyun Lee Suh Yoon Jeon Hyewon Bae Se Young Chun DiffM 34 21 0 30 Nov 2023
Learning to Simulate: Generative Metamodeling via Quantile Regression L. Hong Yanxi Hou Qingkai Zhang Xiaowei Zhang 27 1 0 29 Nov 2023
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 33 10 0 27 Nov 2023
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 36 9 0 24 Nov 2023
On diffusion-based generative models and their error bounds: The log-concave case with full convergence estimates Stefano Bruno Ying Zhang Dong-Young Lim Ömer Deniz Akyildiz Sotirios Sabanis DiffM 35 4 0 22 Nov 2023
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model Kai Yang Jian Tao Jiafei Lyu Chunjiang Ge Jiaxin Chen Qimai Li Weihan Shen Xiaolong Zhu Xiu Li EGVM 23 89 0 22 Nov 2023
TURBO: The Swiss Knife of Auto-Encoders Guillaume Quétant Yury Belousov Vitaliy Kinakh Slava Voloshynovskiy 26 6 0 11 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 25 4 0 10 Nov 2023
Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation Yuli Wu Weidong He Dennis Eschweiler Ningxin Dou Zixin Fan Shengli Mi Peter Walter Johannes Stegmaier MedIm DiffM 39 3 0 09 Nov 2023
The voraus-AD Dataset for Anomaly Detection in Robot Applications Jan Thiess Brockmann Marco Rudolph Bodo Rosenhahn Bastian Wandt 31 11 0 08 Nov 2023