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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

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Title
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency Jiangxuan Long Zhao Song Chiwun Yang AI4TS 482 0 0 18 Mar 2025
Beyond RGB: Adaptive Parallel Processing for RAW Object Detection Shani Gamrian Hila Barel Feiran Li Masakazu Yoshimura Daisuke Iso 92 0 0 17 Mar 2025
Deep Belief Markov Models for POMDP Inference Giacomo Arcieri K. Papakonstantinou D. Štraub Eleni Chatzi 86 0 0 17 Mar 2025
On Local Posterior Structure in Deep Ensembles Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 151 0 0 17 Mar 2025
HyConEx: Hypernetwork classifier with counterfactual explanations Patryk Marszałek Ulvi Movsum-zada Oleksii Furman Kamil Ksiazek Przemysław Spurek Marek Śmieja 75 0 0 16 Mar 2025
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures Nina Vesseron Louis Béthune Marco Cuturi 135 0 0 13 Mar 2025
Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection Zhen Qu Xian Tao Xinyi Gong Shichen Qu Qiyu Chen Zhengtao Zhang Xingang Wang Guiguang Ding VLM 173 1 0 13 Mar 2025
Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows Chengyue Gong Xiaoyu Li Yingyu Liang Jiangxuan Long Zhenmei Shi Zhao Song Yu Tian 138 3 0 12 Mar 2025
Temporal Difference Flows Jesse Farebrother Matteo Pirotta Andrea Tirinzoni Rémi Munos A. Lazaric Ahmed Touati AI4TS AIFin 166 1 0 12 Mar 2025
Multilevel Generative Samplers for Investigating Critical Phenomena Ankur Singha E. Cellini K. Nicoli K. Jansen Stefan Kühn Shinichi Nakajima 106 1 0 11 Mar 2025
HERO: Human Reaction Generation from Videos Chengjun Yu Wei-dong Zhai Yuhang Yang Yang Cao Zheng-jun Zha VGen 125 0 0 11 Mar 2025
Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms Jiaming Song Linqi Zhou DiffM 118 1 0 10 Mar 2025
MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and Audio Xuenan Xu Jiahao Mei Chenliang Li Yuning Wu Ming Yan Shaopeng Lai J.N. Zhang Mengyue Wu VGen LLMAG 144 6 0 07 Mar 2025
FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion Ziyi Yang Fanqi Wan Longguang Zhong Canbin Huang Guosheng Liang Xiaojun Quan MoMe 140 2 0 06 Mar 2025
Generative Artificial Intelligence in Robotic Manipulation: A Survey Kun Zhang Peng Yun Jun Cen Junhao Cai DiDi Zhu ... Qifeng Chen Jia Pan Wei Zhang Bo Yang Hua Chen 177 1 0 05 Mar 2025
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? Charles Dawson Van Tran Max Z. Li Chuchu Fan 76 0 0 28 Feb 2025
Discovering Antagonists in Networks of Systems: Robot Deployment Ingeborg Wenger P. Eberhard Henrik Ebel 81 0 0 27 Feb 2025
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models Vu Tuan Truong Long Bao Le DiffM AAML 535 0 0 26 Feb 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 114 0 0 25 Feb 2025
Methods and Trends in Detecting Generated Images: A Comprehensive Review Arpan Mahara N. Rishe AAML 448 1 0 24 Feb 2025
Towards Hierarchical Rectified Flow Yichi Zhang Yici Yan Alex Schwing Zhizhen Zhao 121 2 0 24 Feb 2025
Accurate Forgetting for Heterogeneous Federated Continual Learning Abudukelimu Wuerkaixi Sen Cui J.N. Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 250 12 0 20 Feb 2025
Maximum Entropy Reinforcement Learning with Diffusion Policy Xiaoyi Dong Jian Cheng Xinsong Zhang 129 2 0 17 Feb 2025
In-Context Parametric Inference: Point or Distribution Estimators? Sarthak Mittal Yoshua Bengio Nikolay Malkin Guillaume Lajoie 130 0 0 17 Feb 2025
Mesh2SSM++: A Probabilistic Framework for Unsupervised Learning of Statistical Shape Model of Anatomies from Surface Meshes Krithika S. Iyer Mokshagna Sai Teja Karanam Shireen Y. Elhabian 185 0 0 11 Feb 2025
Neural Flow Samplers with Shortcut Models Wuhao Chen Zijing Ou Yingzhen Li 244 2 0 11 Feb 2025
Amortized In-Context Bayesian Posterior Estimation Sarthak Mittal Niels Leif Bracher Guillaume Lajoie P. Jaini Marcus A. Brubaker 114 2 0 10 Feb 2025
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Jayden Teoh Wenjun Li Pradeep Varakantham 111 2 0 08 Feb 2025
An inpainting approach to manipulate asymmetry in pre-operative breast images Helena Montenegro M. Cardoso J. Cardoso MedIm 166 0 0 08 Feb 2025
Flow-based Conformal Prediction for Multi-dimensional Time Series Junghwan Lee Chen Xu Yao Xie AI4TS AI4CE 83 0 0 08 Feb 2025
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning J. Brahmanage Jiajing Ling Akshat Kumar 151 0 0 08 Feb 2025
Orthogonal Representation Learning for Estimating Causal Quantities Valentyn Melnychuk Dennis Frauen Jonas Schweisthal Stefan Feuerriegel CML OOD BDL 138 2 0 06 Feb 2025
Distribution Transformers: Fast Approximate Bayesian Inference With On-The-Fly Prior Adaptation George Whittle Juliusz Ziomek Jacob Rawling Michael A. Osborne 210 4 0 04 Feb 2025
Statistical Inference for Generative Model Comparison Zijun Gao Yan Sun 205 0 0 31 Jan 2025
One Model to Forecast Them All and in Entity Distributions Bind Them Kutay Bölat Simon Tindemans AI4TS 103 0 0 26 Jan 2025
CGI: Identifying Conditional Generative Models with Example Images Zhi Zhou Hao-Zhe Tan Peng-Xiao Song Lan-Zhe Guo DiffM 103 0 0 23 Jan 2025
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System Minghao Fu Zhen Zhang Zijian Li Yujia Zheng Ignavier Ng Yingyao Hu Kun Zhang CML 93 0 0 21 Jan 2025
Towards Accurate Unified Anomaly Segmentation Wenxin Ma Qingsong Yao Xiang Zhang Zhelong Huang Zihang Jiang S. Kevin Zhou 136 2 0 21 Jan 2025
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 236 0 0 20 Jan 2025
Score-based 3D molecule generation with neural fields Matthieu Kirchmeyer Pedro H. O. Pinheiro Saeed Saremi DiffM 133 2 0 15 Jan 2025
Simulating the Hubbard Model with Equivariant Normalizing Flows Dominic Schuh Janik Kreit Evan Berkowitz L. Funcke Thomas Luu K. Nicoli Marcel Rodekamp 84 4 0 13 Jan 2025
Conditional Diffusion Model for Electrical Impedance Tomography Duanpeng Shi Wendong Zheng Di Guo Huaping Liu DiffM MedIm 414 2 0 10 Jan 2025
Bridge the Inference Gaps of Neural Processes via Expectation Maximization Q. Wang Marco Federici H. V. Hoof UQCV BDL 127 15 0 08 Jan 2025
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection Yan Lu Xinzhu Ma Lei Yang Tianzhu Zhang Yating Liu Qi Chu Tong He Yonghui Li W. Ouyang 139 4 0 08 Jan 2025
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque John Pearson DiffM 154 0 0 03 Jan 2025
Simulation-based Inference for Cardiovascular Models Antoine Wehenkel Laura Manduchi Jens Behrmann Guillermo Sapiro Andrew C. Miller Marco Cuturi Ozan Sener Marco Cuturi J. Jacobsen 211 9 0 31 Dec 2024
Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers Laura Manduchi Antoine Wehenkel Jens Behrmann Luca Pegolotti Andy C. Miller Ozan Sener Marco Cuturi Guillermo Sapiro J. Jacobsen OOD 75 1 0 23 Dec 2024
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo David Nabergoj Erik Štrumbelj BDL TPM 104 0 0 22 Dec 2024
Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer Yangqiu Song Xihua Wang Ruihua Song Wenbing Huang DiffM VGen 122 1 0 21 Dec 2024
BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization Jiayi Chen Yubin Ke Hongan Wang 146 5 0 21 Dec 2024