NICE: Non-linear Independent Components Estimation

30 October 2014

Papers citing "NICE: Non-linear Independent Components Estimation"

50 / 518 papers shown

Title
NFL: Robust Learned Index via Distribution Transformation Shangyu Wu Yufei Cui Jinghuan Yu Xuan Sun Tei-Wei Kuo Chun Jason Xue OOD 29 25 0 24 May 2022
Flow-based Recurrent Belief State Learning for POMDPs Xiaoyu Chen Yao Mu Ping Luo Sheng Li Jianyu Chen 56 18 0 23 May 2022
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model Jianwen Xie Y. Zhu Juntao Li Ping Li 29 50 0 13 May 2022
A Unified f-divergence Framework Generalizing VAE and GAN Jaime Roquero Gimenez James Zou 21 2 0 11 May 2022
NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality Xu Tan Jiawei Chen Haohe Liu Jian Cong Chen Zhang ... Lei He Frank Soong Tao Qin Sheng Zhao Tie-Yan Liu 49 213 0 09 May 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 28 48 0 01 May 2022
VPNets: Volume-preserving neural networks for learning source-free dynamics Aiqing Zhu Beibei Zhu Jiawei Zhang Yifa Tang Jian-Dong Liu 36 3 0 29 Apr 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset Leon Sixt M. Schuessler Oana-Iuliana Popescu Philipp Weiß Tim Landgraf FAtt 34 14 0 25 Apr 2022
Conditional Injective Flows for Bayesian Imaging AmirEhsan Khorashadizadeh K. Kothari Leonardo Salsi Ali Aghababaei Harandi Maarten V. de Hoop Ivan Dokmanić MedIm 31 16 0 15 Apr 2022
CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism Jiahui Lei Kostas Daniilidis 46 54 0 30 Mar 2022
Hybrid Routing Transformer for Zero-Shot Learning Dezhong Cheng Gerong Wang Boshen Wang Qiang Zhang Jungong Han Dingwen Zhang 31 69 0 29 Mar 2022
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design Yuanqi Du Tianfan Fu Jimeng Sun Shengchao Liu AI4CE 57 86 0 28 Mar 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 37 7 0 19 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning Karsten Roth Oriol Vinyals Zeynep Akata 29 36 0 16 Mar 2022
MotionCLIP: Exposing Human Motion Generation to CLIP Space Guy Tevet Brian Gordon Amir Hertz Amit H. Bermano Daniel Cohen-Or CLIP 41 326 0 15 Mar 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen Brandon Amos Maximilian Nickel 32 10 0 14 Mar 2022
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context Pinaki Nath Chowdhury Aneeshan Sain A. Bhunia Tao Xiang Yulia Gryaditskaya Yi-Zhe Song 3DV 46 52 0 04 Mar 2022
Time Efficient Training of Progressive Generative Adversarial Network using Depthwise Separable Convolution and Super Resolution Generative Adversarial Network Atharva Karwande Pranesh Shridhar Kulkarni Tejas Kolhe Akshay Joshi S. Kamble GAN 22 2 0 24 Feb 2022
Benchmarking Generative Latent Variable Models for Speech Jakob Drachmann Havtorn Lasse Borgholt Søren Hauberg J. Frellsen Lars Maaløe 31 3 0 22 Feb 2022
Continual Learning with Invertible Generative Models Jary Pomponi Simone Scardapane A. Uncini BDL 53 4 0 11 Feb 2022
Fair Interpretable Representation Learning with Correction Vectors Mattia Cerrato A. Coronel Marius Köppel A. Segner Roberto Esposito Stefan Kramer FaML 14 5 0 07 Feb 2022
Learning Representation from Neural Fisher Kernel with Low-rank Approximation Ruixiang Zhang Shuangfei Zhai Etai Littwin J. Susskind SSL 36 3 0 04 Feb 2022
SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation Amir Hertz Or Perel Raja Giryes O. Sorkine-Hornung Daniel Cohen-Or 33 26 0 31 Jan 2022
Scale-arbitrary Invertible Image Downscaling Jinbo Xing Wenbo Hu T. Wong 41 12 0 29 Jan 2022
Variational Model Inversion Attacks Kuan-Chieh Wang Yanzhe Fu Ke Li Ashish Khisti R. Zemel Alireza Makhzani MIACV 25 95 0 26 Jan 2022
Invertible Voice Conversion Zexin Cai Ming Li BDL 42 1 0 26 Jan 2022
Stochastic normalizing flows as non-equilibrium transformations M. Caselle E. Cellini A. Nada M. Panero 36 34 0 21 Jan 2022
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates N. J. Irons M. Scetbon Soumik Pal Zaïd Harchaoui 33 18 0 31 Dec 2021
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows M. Hassanaly Bruce A. Perry M. Mueller S. Yellapantula 42 5 0 28 Dec 2021
A Compact Neural Network-based Algorithm for Robust Image Watermarking Hongcai Xu Rong Wang Jia Wei Shao-Ping Lu 29 13 0 27 Dec 2021
Ultrasound Speckle Suppression and Denoising using MRI-derived Normalizing Flow Priors Vincent van de Schaft Ruud J. G. van Sloun OOD MedIm 26 6 0 24 Dec 2021
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 154 14,793 0 20 Dec 2021
Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning Giorgio Angelotti Nicolas Drougard Caroline Ponzoni Carvalho Chanel OffRL 33 2 0 18 Dec 2021
Step-unrolled Denoising Autoencoders for Text Generation Nikolay Savinov Junyoung Chung Mikolaj Binkowski Erich Elsen Aaron van den Oord DiffM 22 116 0 13 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin S. Feizi Ramalingam Chellappa AAML 34 12 0 12 Dec 2021
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models Dongzhuo Li MedIm 38 2 0 07 Dec 2021
Joint Learning of Localized Representations from Medical Images and Reports Philipp Muller Georgios Kaissis Cong Zou Daniel Munich 140 81 0 06 Dec 2021
Generalized Normalizing Flows via Markov Chains Paul Hagemann J. Hertrich Gabriele Steidl BDL DiffM AI4CE 32 22 0 24 Nov 2021
Lossless Compression with Probabilistic Circuits Hoang Trung-Dung Stephan Mandt Guy Van den Broeck TPM 21 21 0 23 Nov 2021
IKFlow: Generating Diverse Inverse Kinematics Solutions Barrett Ames Jeremy Morgan George Konidaris 14 34 0 17 Nov 2021
Continual Learning via Local Module Composition O. Ostapenko Pau Rodríguez López Massimo Caccia Laurent Charlin KELM CLL 48 66 0 15 Nov 2021
Approaching the Limit of Image Rescaling via Flow Guidance Shangzhou Li Guixuan Zhang Zhengxiong Luo Jie Liu Zhi Zeng Shuwu Zhang 39 9 0 09 Nov 2021
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution Andreas Lugmayr Martin Danelljan Feng Yu Luc Van Gool Radu Timofte 22 14 0 05 Nov 2021
PIE: Pseudo-Invertible Encoder J. Beitler Ivan Sosnovik A. Smeulders 11 10 0 31 Oct 2021
Resampling Base Distributions of Normalizing Flows Vincent Stimper Bernhard Schölkopf José Miguel Hernández-Lobato BDL 30 32 0 29 Oct 2021
PixelPyramids: Exact Inference Models from Lossless Image Pyramids Shweta Mahajan Stefan Roth TPM 15 2 0 17 Oct 2021
Probabilistic Time Series Forecasts with Autoregressive Transformation Models David Rügamer Philipp F. M. Baumann Thomas Kneib Torsten Hothorn AI4TS 60 13 0 15 Oct 2021
A Survey on Deep Learning for Skeleton-Based Human Animation Lucas Mourot Ludovic Hoyet F. Clerc Francois Schnitzler Pierre Hellier 3DH 39 78 0 13 Oct 2021
A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful Joeri Hermans Arnaud Delaunoy François Rozet Antoine Wehenkel Volodimir Begy Gilles Louppe 64 38 0 13 Oct 2021
On the relationship between disentanglement and multi-task learning Lukasz Maziarka A. Nowak Maciej Wołczyk Andrzej Bedychaj OOD DRL 29 3 0 07 Oct 2021