VFlow: More Expressive Generative Flows with Variational Data
Augmentation

VFlow: More Expressive Generative Flows with Variational Data Augmentation

22 February 2020

Jianfei Chen

Jun Zhu

Papers citing "VFlow: More Expressive Generative Flows with Variational Data Augmentation"

15 / 15 papers shown

Title
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes Seongho Joo Hyukhun Koh Kyomin Jung DiffM 54 0 0 23 Oct 2023
Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTS Sewade Ogun Vincent Colotte Emmanuel Vincent DiffM 35 4 0 28 May 2023
Rigid Body Flows for Sampling Molecular Crystal Structures Jonas Köhler Michele Invernizzi P. D. Haan Frank Noé AI4CE 44 27 0 26 Jan 2023
Taming Normalizing Flows Shimon Malnick S. Avidan Ohad Fried TPM DiffM 29 1 0 29 Nov 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows Siyu Wang Jianfei Chen Chongxuan Li Jun Zhu Bo Zhang MQ 26 7 0 17 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models Dongjun Kim Byeonghu Na S. Kwon Dongsoo Lee Wanmo Kang Il-Chul Moon DiffM 213 52 0 27 May 2022
Funnels: Exact maximum likelihood with dimensionality reduction Samuel Klein J. A. Raine Sebastian Pina-Otey Slava Voloshynovskiy T. Golling TPM 38 4 0 15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 30 231 0 14 Dec 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory T. Chen Guan-Horng Liu Evangelos A. Theodorou DiffM OT 174 165 0 21 Oct 2021
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim Jungil Kong Juhee Son DRL 89 847 0 11 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 0 10 Jun 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 43 485 0 08 Mar 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 64 627 0 22 Jan 2021
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO Pablo Morales-Álvarez Pablo Ruiz S. Coughlin Rafael Molina Aggelos K. Katsaggelos 21 14 0 05 Nov 2019
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,553 0 25 Jan 2016