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Variational Inference with Normalizing Flows

21 May 2015

Danilo Jimenez Rezende

Papers citing "Variational Inference with Normalizing Flows"

50 / 2,268 papers shown

Title
ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering Qimin Chen Zhiqin Chen Hang Zhou Hao Zhang 3DH 81 12 0 08 Jun 2023
Entropy-based Training Methods for Scalable Neural Implicit Sampler Weijian Luo Boya Zhang Zhihua Zhang 91 12 0 08 Jun 2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models G. Stein Jesse C. Cresswell Rasa Hosseinzadeh Yi Sui Brendan Leigh Ross Valentin Villecroze Zhaoyan Liu Anthony L. Caterini J. E. T. Taylor Gabriel Loaiza-Ganem EGVM 155 108 0 07 Jun 2023
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation Tony Tohme Mohsen Sadr K. Youcef-Toumi N. Hadjiconstantinou 89 3 0 07 Jun 2023
High-dimensional and Permutation Invariant Anomaly Detection Vinicius Mikuni Benjamin Nachman DiffM 123 18 0 06 Jun 2023
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference J. Linhart Alexandre Gramfort Pedro L. C. Rodrigues 104 9 0 06 Jun 2023
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models Andrew F. Luo Margaret M. Henderson Leila Wehbe Michael J. Tarr DiffM 98 22 0 05 Jun 2023
Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling Jiarui Lu Bozitao Zhong Zuobai Zhang Jian Tang 93 32 0 05 Jun 2023
Enhanced Distribution Modelling via Augmented Architectures For Neural ODE Flows Etrit Haxholli Marco Lorenzi 31 0 0 05 Jun 2023
Faster Training of Diffusion Models and Improved Density Estimation via Parallel Score Matching Etrit Haxholli Marco Lorenzi DiffM 37 2 0 05 Jun 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 74 4 0 05 Jun 2023
Invisible Image Watermarks Are Provably Removable Using Generative AI Xuandong Zhao Kexun Zhang Zihao Su Saastha Vasan Ilya Grishchenko Christopher Kruegel Giovanni Vigna Yu Wang Lei Li WIGM 136 63 0 02 Jun 2023
Lifting Architectural Constraints of Injective Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 104 10 0 02 Jun 2023
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling Zeqiang Lai Yuchen Duan Jifeng Dai Ziheng Li Ying Fu Hongsheng Li Yu Qiao Wen Wang DiffM 102 20 0 02 Jun 2023
GANs Settle Scores! Siddarth Asokan Nishanth Shetty Aadithya Srikanth C. Seelamantula 81 0 0 02 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 133 11 0 02 Jun 2023
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 112 2 0 01 Jun 2023
On the Effectiveness of Hybrid Mutual Information Estimation Marco Federici David Ruhe Patrick Forré 82 6 0 01 Jun 2023
Neuro-Causal Factor Analysis Alex Markham Ming-Yuan Liu Bryon Aragam Liam Solus CML 61 3 0 31 May 2023
Reliable Off-Policy Learning for Dosage Combinations Jonas Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 57 12 0 31 May 2023
Spontaneous Symmetry Breaking in Generative Diffusion Models G. Raya L. Ambrogioni DiffM 92 37 0 31 May 2023
DC CoMix TTS: An End-to-End Expressive TTS with Discrete Code Collaborated with Mixer Yerin Choi M. Koo 77 0 0 31 May 2023
Efficient Training of Energy-Based Models Using Jarzynski Equality D. Carbone Mengjian Hua Simon Coste Eric Vanden-Eijnden 58 7 0 30 May 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 68 10 0 30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 128 4 0 30 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 89 7 0 26 May 2023
FineMorphs: Affine-diffeomorphic sequences for regression Michele Lohr L. Younes 61 0 0 26 May 2023
Flow Matching for Scalable Simulation-Based Inference Maximilian Dax J. Wildberger Simon Buchholz Stephen R. Green Jakob H. Macke Bernhard Schölkopf 89 60 0 26 May 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 120 19 0 26 May 2023
Kernel Density Matrices for Probabilistic Deep Learning Fabio A. González Raúl Ramos-Pollán Joseph A. Gallego-Mejia 32 2 0 26 May 2023
Error Bounds for Flow Matching Methods Joe Benton George Deligiannidis Arnaud Doucet DiffM 109 38 0 26 May 2023
Automatic Tuning of Loss Trade-offs without Hyper-parameter Search in End-to-End Zero-Shot Speech Synthesis Seong-Hyun Park Bohyung Kim Tae-Hyun Oh 77 1 0 26 May 2023
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification Nuojin Cheng Osman Asif Malik Subhayan De Stephen Becker Alireza Doostan 68 9 0 25 May 2023
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance Congyue Deng Jiahui Lei Bokui Shen Kostas Daniilidis Leonidas Guibas 3DPC 100 20 0 25 May 2023
Deep Stochastic Processes via Functional Markov Transition Operators Jin Xu Emilien Dupont Kaspar Martens Tom Rainforth Yee Whye Teh 77 4 0 24 May 2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods Veit Wild Sahra Ghalebikesabi Dino Sejdinovic Jeremias Knoblauch BDL UQCV 98 16 0 24 May 2023
Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation Tianyu Yang Thy Thy Tran Iryna Gurevych DiffM 75 1 0 24 May 2023
Generative AI for Bayesian Computation Nicholas G. Polson Vadim Sokolov BDL 82 5 0 24 May 2023
Deep Learning for Survival Analysis: A Review S. Wiegrebe Philipp Kopper R. Sonabend Bernd Bischl Andreas Bender 90 78 0 24 May 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent Tianle Liu Promit Ghosal Krishnakumar Balasubramanian Natesh S. Pillai 111 11 0 23 May 2023
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation Mengqi Huang Zhendong Mao Quang Wang Yongdong Zhang VGen DiffM 124 23 0 23 May 2023
Squared Neural Families: A New Class of Tractable Density Models Russell Tsuchida Cheng Soon Ong Dino Sejdinovic TPM 72 12 0 22 May 2023
Estimating Gibbs free energies via isobaric-isothermal flows Peter Wirnsberger Borja Ibarz George Papamakarios 64 12 0 22 May 2023
Policy Representation via Diffusion Probability Model for Reinforcement Learning Long Yang Zhixiong Huang Fenghao Lei Yucun Zhong Yiming Yang Cong Fang Shiting Wen Binbin Zhou Zhouchen Lin DiffM 111 53 0 22 May 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design Zaixin Zhang Qi Liu 83 37 0 22 May 2023
Inventing art styles with no artistic training data Nilin Abrahamsen Jiahao Yao GAN 103 3 0 19 May 2023
Inductive Simulation of Calorimeter Showers with Normalizing Flows M. Buckley Claudius Krause Ian Pang David Shih AI4CE 105 24 0 19 May 2023
Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis Agathe Senellart Clément Chadebec S. Allassonnière DRL 62 3 0 19 May 2023
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang Masashi Sugiyama 100 1 0 19 May 2023
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces Javier E. Santos Z. Fox Nicholas Lubbers Yen Ting Lin DiffM 88 20 0 18 May 2023