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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
Deep generative models as the probability transformation functions Vitalii Bondar Vira Babenko Roman Trembovetskyi Yurii Korobeinyk Viktoriya Dzyuba 22 0 0 20 Jun 2025
A Variational Framework for Improving Naturalness in Generative Spoken Language Models Li-Wei Chen Takuya Higuchi Zakaria Aldeneh Ahmed Hussen Abdelaziz Alexander I. Rudnicky 29 0 0 17 Jun 2025
Polyra Swarms: A Shape-Based Approach to Machine Learning Simon Klüttermann Emmanuel Müller 17 0 0 16 Jun 2025
ErrorEraser: Unlearning Data Bias for Improved Continual Learning Xuemei Cao Hanlin Gu Xin Yang Bingjun Wei Haoyang Liang Xiangkun Wang Tianrui Li CLL KELM MU 71 0 0 11 Jun 2025
Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history Pedro Pessoa Juan Andres Martinez Vincent Vandenbroucke Frank Delvigne Steve Pressé 63 0 0 11 Jun 2025
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy Kenric Nelson Igor Oliveira Amenah Al-Najafi Fode Zhang Hon Keung Tony Ng DRL 32 0 0 10 Jun 2025
AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data Tuan Truong Rithwik Sudharsan Yibo Yang Peter Xiangyuan Ma Ruihan Yang Stephan Mandt Joshua S. Bloom 38 0 0 10 Jun 2025
Variational Supervised Contrastive Learning Ziwen Wang Jiajun Fan Thao Nguyen Heng Ji Ge Liu DRL SSL 47 0 0 09 Jun 2025
Self-Cascaded Diffusion Models for Arbitrary-Scale Image Super-Resolution Junseo Bang Joonhee Lee Kyeonghyun Lee Haechang Lee Dong un Kang Se Young Chun 17 0 0 09 Jun 2025
Continuous Semi-Implicit Models L. Yu Jiajun Zha Tong Yang Tianyu Xie Xiangyu Zhang S.-H. Gary Chan Cheng Zhang DiffM 15 0 0 07 Jun 2025
Multilevel neural simulation-based inference Yuga Hikida Ayush Bharti Niall Jeffrey F. Briol 62 0 0 06 Jun 2025
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Jiatao Gu Tianrong Chen David Berthelot Huangjie Zheng Yuyang Wang Ruixiang Zhang Laurent Dinh Miguel Angel Bautista Josh Susskind Shuangfei Zhai 45 0 0 06 Jun 2025
Learning normalized image densities via dual score matching Florentin Guth Zahra Kadkhodaie Eero P. Simoncelli DiffM 106 0 0 05 Jun 2025
Semi-Implicit Variational Inference via Kernelized Path Gradient Descent Tobias Pielok Bernd Bischl David Rügamer 114 0 0 05 Jun 2025
On Fitting Flow Models with Large Sinkhorn Couplings Michal Klein Alireza Mousavi-Hosseini Stephen Zhang Marco Cuturi 39 0 0 05 Jun 2025
Amortized variational transdimensional inference Laurence Davies Dan Mackinlay Rafael Oliveira Scott A. Sisson DRL BDL 123 0 0 05 Jun 2025
Revisiting Unbiased Implicit Variational Inference Tobias Pielok Bernd Bischl David Rügamer BDL 90 0 0 04 Jun 2025
Temporal Causal-based Simulation for Realistic Time-series Generation Nikolaos Gkorgkolis Nikolaos Kougioulis Mingxue Wang Bora Caglayan Andrea Tonon Dario Simionato Ioannis Tsamardinos CML 31 0 0 02 Jun 2025
Asymptotically exact variational flows via involutive MCMC kernels Zuheng Xu Trevor Campbell 36 0 0 02 Jun 2025
Beyond Diagonal Covariance: Flexible Posterior VAEs via Free-Form Injective Flows Peter Sorrenson Lukas Lührs Hans Olischläger Ullrich Kothe 72 0 0 02 Jun 2025
PseudoVC: Improving One-shot Voice Conversion with Pseudo Paired Data Songjun Cao Qinghua Wu Jie Chen Jin Li Long Ma 40 0 0 01 Jun 2025
FORT: Forward-Only Regression Training of Normalizing Flows Danyal Rehman Oscar Davis Jiarui Lu Jian Tang M. Bronstein Yoshua Bengio Alexander Tong A. Bose OOD 40 0 0 01 Jun 2025
Generator Based Inference (GBI) Chi Lung Cheng Ranit Das Runze Li R. Mastandrea Vinicius Mikuni Benjamin Nachman David Shih Gup Singh 27 0 0 30 May 2025
BIMA: Bijective Maximum Likelihood Learning Approach to Hallucination Prediction and Mitigation in Large Vision-Language Models Huu-Thien Tran Thanh-Dat Truong Khoa Luu MLLM 18 0 0 30 May 2025
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control Oleksii Furman Ulvi Movsum-zada Patryk Marszalek Maciej Ziȩba Marek Śmieja BDL 30 0 0 29 May 2025
Normalizing Flows are Capable Models for RL Raj Ghugare Benjamin Eysenbach OffRL AI4CE 86 0 0 29 May 2025
Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling Agnideep Aich Ashit Aich Bruce Wade 14 0 0 28 May 2025
Wavelet Flow For Extragalactic Foreground Simulations M. Mebratu W. L. K. Wu 21 0 0 27 May 2025
Importance Weighted Score Matching for Diffusion Samplers with Enhanced Mode Coverage Chenguang Wang Xiaoyu Zhang Kaiyuan Cui Weichen Zhao Yongtao Guan Tianshu Yu DiffM 102 0 0 26 May 2025
Discrete Markov Bridge Hengli Li Yuxuan Wang Song-Chun Zhu Ying Nian Wu Zilong Zheng DiffM 69 0 0 26 May 2025
FlashMD: long-stride, universal prediction of molecular dynamics Filippo Bigi Sanggyu Chong Agustinus Kristiadi Michele Ceriotti AI4CE 72 1 0 25 May 2025
Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation Alexander Shabalin Viacheslav Meshchaninov Dmitry Vetrov 44 0 0 24 May 2025
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models Louis Bethune David Vigouroux Yilun Du Rufin VanRullen Thomas Serre Victor Boutin DiffM 75 0 0 23 May 2025
Learning Flexible Forward Trajectories for Masked Molecular Diffusion Hyunjin Seo Taewon Kim Sihyun Yu SungSoo Ahn DiffM AI4CE 172 0 0 22 May 2025
Multivariate Latent Recalibration for Conditional Normalizing Flows Victor Dheur Souhaib Ben Taieb BDL 161 0 0 22 May 2025
Generative AI for Autonomous Driving: A Review Katharina Winter Abhishek Vivekanandan Rupert Polley Yinzhe Shen Christian Schlauch ... Christian Wirth Omer Sahin Tas Nadja Klein Fabian B. Flohr Hanno Gottschalk 94 0 0 21 May 2025
Last Layer Empirical Bayes Valentin Villecroze Yixin Wang Gabriel Loaiza-Ganem UQCV BDL 67 0 0 21 May 2025
CacheFlow: Fast Human Motion Prediction by Cached Normalizing Flow Takahiro Maeda Jinkun Cao Norimichi Ukita Kris Kitani 3DH 74 0 0 19 May 2025
Multi-View Wireless Sensing via Conditional Generative Learning: Framework and Model Design Ziqing Xing Zhaoyang Zhang Zirui Chen Hongning Ruan Zhaohui Yang DiffM 3DV 112 0 0 19 May 2025
Mean Flows for One-step Generative Modeling Zhengyang Geng Mingyang Deng Xingjian Bai J. Zico Kolter Kaiming He DiffM 85 2 0 19 May 2025
Proximal optimal transport divergences Ricardo Baptista Panagiota Birmpa Markos A. Katsoulakis Luc Rey-Bellet Benjamin J. Zhang OT 85 0 0 17 May 2025
Supervised Models Can Generalize Also When Trained on Random Labels Oskar Allerbo Thomas B. Schön OOD SSL 119 0 0 16 May 2025
Generative Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges Yuan Zhang Xinfeng Zhang Xiaoming Qi Xinyu Wu Feng Chen Guanyu Yang Huazhu Fu MedIm LM&MA AI4CE 163 0 0 16 May 2025
Missing Data Imputation by Reducing Mutual Information with Rectified Flows Jiahao Yu Qizhen Ying Leyang Wang Z. L. Jiang Song Liu 69 0 0 16 May 2025
Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios Kihun Hong Sejun Park Ganguk Hwang FedML 108 0 0 16 May 2025
Path Gradients after Flow Matching Lorenz Vaitl Leon Klein 51 0 0 15 May 2025
FlowVAT: Normalizing Flow Variational Inference with Affine-Invariant Tempering Juehang Qin Shixiao Liang C. Tunnell TPM 86 1 0 15 May 2025
Recent Advances in Medical Imaging Segmentation: A Survey Fares Bougourzi Abdenour Hadid OOD 100 1 0 14 May 2025
ConDiSim: Conditional Diffusion Models for Simulation Based Inference Mayank Nautiyal Andreas Hellander Prashant Singh DiffM 116 0 0 13 May 2025
MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder Bowen Zhang Congchao Guo Geng Yang Hang Yu Haozhe Zhang ... Yichen Xiao Yiying Zhou Yize Zhang Yuan Lu Yucen He 66 1 0 12 May 2025