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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
Towards creativity characterization of generative models via group-based subset scanning C. Cintas Payel Das Brian Quanz Skyler Speakman Victor Akinwande Pin-Yu Chen 24 11 0 01 Apr 2021
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness A. Kulkarni Shuo Han Nandi O. Leslie Charles A. Kamhoua Jie Fu 47 2 0 01 Apr 2021
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications P. M. Winter Sebastian K. Eder J. Weissenbock Christoph Schwald Thomas Doms Tom Vogt Sepp Hochreiter Bernhard Nessler 113 25 0 31 Mar 2021
PixelTransformer: Sample Conditioned Signal Generation Shubham Tulsiani Abhinav Gupta 76 17 0 29 Mar 2021
Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation Mathias Löwe Per Lunnemann Hansen S. Risi BDL 9 1 0 29 Mar 2021
Variational Rejection Particle Filtering Rahul Sharma S. Banerjee Dootika Vats Piyush Rai BDL 71 0 0 29 Mar 2021
Improved Autoregressive Modeling with Distribution Smoothing Chenlin Meng Jiaming Song Yang Song Shengjia Zhao Stefano Ermon DiffM 76 23 0 28 Mar 2021
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting Ye Yuan Xinshuo Weng Yanglan Ou Kris Kitani AI4TS 114 461 0 25 Mar 2021
Out-of-Distribution Detection of Melanoma using Normalizing Flows M. Valiuddin C.G.A. Viviers OODD 48 0 0 23 Mar 2021
Implicit Normalizing Flows Cheng Lu Jianfei Chen Chongxuan Li Qiuhao Wang Jun Zhu AI4CE 72 34 0 17 Mar 2021
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning Siyang Yuan Pengyu Cheng Ruiyi Zhang Weituo Hao Zhe Gan Lawrence Carin DRL 74 61 0 17 Mar 2021
Continuous normalizing flows on manifolds Luca Falorsi BDL AI4CE 77 10 0 14 Mar 2021
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments Lizhen Nie Mao Ye Qiang Liu D. Nicolae CML 77 71 0 14 Mar 2021
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of Experts M. Vowels Necati Cihan Camgöz Richard Bowden CoGe 87 8 0 12 Mar 2021
Variational inference with a quantum computer Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 83 38 0 11 Mar 2021
Universal Approximation of Residual Flows in Maximum Mean Discrepancy Zhifeng Kong Kamalika Chaudhuri UQCV 42 6 0 10 Mar 2021
A prior-based approximate latent Riemannian metric Georgios Arvanitidis B. Georgiev Bernhard Schölkopf MedIm 63 13 0 09 Mar 2021
An Introduction to Deep Generative Modeling Lars Ruthotto E. Haber AI4CE 118 232 0 09 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 176 511 0 08 Mar 2021
Combining Interventional and Observational Data Using Causal Reductions Maximilian Ilse Patrick Forré Max Welling Joris M. Mooij OOD CML 59 0 0 08 Mar 2021
Generating Images with Sparse Representations C. Nash Jacob Menick Sander Dieleman Peter W. Battaglia 93 211 0 05 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 155 305 0 03 Mar 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 275 750 0 02 Mar 2021
Generative Particle Variational Inference via Estimation of Functional Gradients Neale Ratzlaff Qinxun Bai Fuxin Li Wenyuan Xu BDL DRL 123 0 0 01 Mar 2021
Challenges and Opportunities in High-dimensional Variational Inference Akash Kumar Dhaka Alejandro Catalina Manushi K. V. Welandawe Michael Riis Andersen Jonathan H. Huggins Aki Vehtari 60 42 0 01 Mar 2021
A survey on Variational Autoencoders from a GreenAI perspective Andrea Asperti David Evangelista E. Loli Piccolomini DRL 91 53 0 01 Mar 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon Felix Juefei Xu Run Wang Yihao Huang Qing Guo Lei Ma Yang Liu AAML 110 138 0 27 Feb 2021
A Hybrid Approximation to the Marginal Likelihood Eric Chuu D. Pati A. Bhattacharya 39 2 0 24 Feb 2021
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan Karen Ullrich Daniel de Souza Severo James Townsend Ashish Khisti Arnaud Doucet Alireza Makhzani Chris J. Maddison 110 25 0 22 Feb 2021
Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu Shitong Luo Yoshua Bengio Jian-wei Peng Jian Tang AI4CE 118 119 0 20 Feb 2021
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory Takashi Matsubara Yuto Miyatake Takaharu Yaguchi 64 23 0 19 Feb 2021
Convolutional Normalization M. Esposito Nader Ganaba 65 0 0 19 Feb 2021
AudioVisual Speech Synthesis: A brief literature review Efthymios Georgiou Athanasios Katsamanis 25 0 0 18 Feb 2021
VAE Approximation Error: ELBO and Exponential Families Alexander Shekhovtsov D. Schlesinger B. Flach DRL 70 16 0 18 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 321 94 0 16 Feb 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 116 74 0 16 Feb 2021
Structured Dropout Variational Inference for Bayesian Neural Networks S. Nguyen Duong Nguyen Khai Nguyen Khoat Than Hung Bui Nhat Ho BDL DRL 70 8 0 16 Feb 2021
Annealed Flow Transport Monte Carlo Michael Arbel A. G. Matthews Arnaud Doucet 95 78 0 15 Feb 2021
Jacobian Determinant of Normalizing Flows Huadong Liao Jiawei He DRL 47 8 0 12 Feb 2021
Sequential Neural Posterior and Likelihood Approximation Samuel Wiqvist J. Frellsen Umberto Picchini BDL 456 33 0 12 Feb 2021
Disentangled Representations from Non-Disentangled Models Valentin Khrulkov L. Mirvakhabova Ivan Oseledets Artem Babenko OCL DRL CoGe 59 15 0 11 Feb 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 308 429 0 10 Feb 2021
Automatic variational inference with cascading flows L. Ambrogioni Gianluigi Silvestri Marcel van Gerven TPM BDL 51 10 0 09 Feb 2021
Neural SDEs as Infinite-Dimensional GANs Patrick Kidger James Foster Xuechen Li Harald Oberhauser Terry Lyons DiffM 74 154 0 06 Feb 2021
Invertible DenseNets with Concatenated LipSwish Yura Perugachi-Diaz Jakub M. Tomczak Sandjai Bhulai 137 20 0 04 Feb 2021
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems Yin Xia N. Zabaras 56 24 0 04 Feb 2021
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC P. Jaini Didrik Nielsen Max Welling BDL 94 10 0 04 Feb 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 93 182 0 02 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 267 200 0 01 Feb 2021
Neural representation and generation for RNA secondary structures Zichao Yan William L. Hamilton Mathieu Blanchette 62 3 0 01 Feb 2021