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2002.09741
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VFlow: More Expressive Generative Flows with Variational Data Augmentation
International Conference on Machine Learning (ICML), 2020
22 February 2020
Jianfei Chen
Cheng Lu
Biqi Chenli
Jun Zhu
Tian Tian
DRL
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Papers citing
"VFlow: More Expressive Generative Flows with Variational Data Augmentation"
44 / 44 papers shown
Hamiltonian Score Matching and Generative Flows
Neural Information Processing Systems (NeurIPS), 2024
Peter Holderrieth
Yilun Xu
Tommi Jaakkola
374
5
0
27 Oct 2024
SSDM: Scalable Speech Dysfluency Modeling
Neural Information Processing Systems (NeurIPS), 2024
Jiachen Lian
Xuanru Zhou
Z. Ezzes
Jet M J Vonk
Brittany Morin
D. Baquirin
Zachary Mille
M. G. Tempini
Gopala Anumanchipalli
AuLLM
333
22
0
29 Aug 2024
A Non-negative VAE:the Generalized Gamma Belief Network
Zhibin Duan
Tiansheng Wen
Muyao Wang
Bo Chen
Mingyuan Zhou
BDL
352
3
0
06 Aug 2024
Entropy-Informed Weighting Channel Normalizing Flow for Deep Generative Models
Wei Chen
Shian Du
Shigui Li
Delu Zeng
John Paisley
256
0
0
06 Jul 2024
DPP-TTS: Diversifying prosodic features of speech via determinantal point processes
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Seongho Joo
Hyukhun Koh
Kyomin Jung
DiffM
350
0
0
23 Oct 2023
Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction
IEEE International Conference on Computer Vision (ICCV), 2023
Takahiro Maeda
Norimichi Ukita
272
50
0
17 Aug 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model
Neural Information Processing Systems (NeurIPS), 2023
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
736
14
0
02 Jun 2023
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning
Xiao Dong
Runhu Huang
Xiaoyong Wei
Zequn Jie
Jianxing Yu
Jian Yin
Xiaodan Liang
VLM
DiffM
171
2
0
01 Jun 2023
Stochastic Pitch Prediction Improves the Diversity and Naturalness of Speech in Glow-TTS
Interspeech (Interspeech), 2023
Sewade Ogun
Vincent Colotte
Emmanuel Vincent
DiffM
173
5
0
28 May 2023
ELSA -- Enhanced latent spaces for improved collider simulations
Benjamin Nachman
R. Winterhalder
329
16
0
12 May 2023
Invertible Convolution with Symmetric Paddings
Yangqiu Song
179
0
0
30 Mar 2023
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Neural Information Processing Systems (NeurIPS), 2023
Leon Klein
Andrew Y. K. Foong
T. E. Fjelde
Bruno Mlodozeniec
Marc Brockschmidt
Sebastian Nowozin
Frank Noé
Ryota Tomioka
AI4CE
482
86
0
02 Feb 2023
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics
Journal of Chemical Theory and Computation (JCTC), 2023
Marloes Arts
Victor Garcia Satorras
Chin-Wei Huang
Daniel Zuegner
Marco Federici
C. Clementi
Frank Noé
Tian Xie
Rianne van den Berg
DiffM
468
131
0
01 Feb 2023
Rigid Body Flows for Sampling Molecular Crystal Structures
International Conference on Machine Learning (ICML), 2023
Jonas Köhler
Michele Invernizzi
P. D. Haan
Frank Noé
AI4CE
537
42
0
26 Jan 2023
Taming Normalizing Flows
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Shimon Malnick
S. Avidan
Ohad Fried
TPM
DiffM
380
2
0
29 Nov 2022
Predicting phoneme-level prosody latents using AR and flow-based Prior Networks for expressive speech synthesis
Konstantinos Klapsas
Karolos Nikitaras
Nikolaos Ellinas
June Sig Sung
Inchul Hwang
S. Raptis
Aimilios Chalamandaris
Pirros Tsiakoulis
296
1
0
02 Nov 2022
Invertible Monotone Operators for Normalizing Flows
Neural Information Processing Systems (NeurIPS), 2022
Byeongkeun Ahn
Chiyoon Kim
Youngjoon Hong
Hyunwoo J. Kim
TPM
368
10
0
15 Oct 2022
ButterflyFlow: Building Invertible Layers with Butterfly Matrices
International Conference on Machine Learning (ICML), 2022
Chenlin Meng
Linqi Zhou
Kristy Choi
Tri Dao
Stefano Ermon
TPM
366
13
0
28 Sep 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows
International Conference on Machine Learning (ICML), 2022
Siyu Wang
Jianfei Chen
Chongxuan Li
Jun Zhu
Bo Zhang
MQ
216
8
0
17 Jun 2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Neural Information Processing Systems (NeurIPS), 2022
Dongjun Kim
Byeonghu Na
S. Kwon
Dongsoo Lee
Wanmo Kang
Il-Chul Moon
DiffM
746
61
0
27 May 2022
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows
European Conference on Computer Vision (ECCV), 2022
Aihua Mao
Zihui Du
Yu-Hui Wen
Jun-ying Xuan
Wenshu Fan
284
47
0
11 Mar 2022
Generative Modeling for Low Dimensional Speech Attributes with Neural Spline Flows
Kevin J. Shih
Rafael Valle
Rohan Badlani
J. F. Santos
Bryan Catanzaro
246
4
0
03 Mar 2022
Funnels: Exact maximum likelihood with dimensionality reduction
Samuel Klein
C. Pollard
Sebastian Pina-Otey
Svyatoslav Voloshynovskiy
J. A. Raine
TPM
247
5
0
15 Dec 2021
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Tim Dockhorn
Arash Vahdat
Karsten Kreis
DiffM
806
276
0
14 Dec 2021
ELF: Exact-Lipschitz Based Universal Density Approximator Flow
Achintya Gopal
196
1
0
13 Dec 2021
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
Neural Information Processing Systems (NeurIPS), 2021
Shifeng Zhang
Ning Kang
Tom Ryder
Zhenguo Li
179
43
0
01 Nov 2021
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
International Conference on Learning Representations (ICLR), 2021
T. Chen
Guan-Horng Liu
Evangelos A. Theodorou
DiffM
OT
750
242
0
21 Oct 2021
Attentive Contractive Flow with Lipschitz-constrained Self-Attention
British Machine Vision Conference (BMVC), 2021
Avideep Mukherjee
Badri N. Patro
Vinay P. Namboodiri
264
0
0
24 Sep 2021
Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows
Holden Lee
Chirag Pabbaraju
A. Sevekari
Andrej Risteski
206
9
0
07 Jul 2021
Multi-Resolution Continuous Normalizing Flows
Vikram S. Voleti
Chris Finlay
Adam M. Oberman
Christopher Pal
498
6
0
15 Jun 2021
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
International Conference on Machine Learning (ICML), 2021
Jaehyeon Kim
Jungil Kong
Juhee Son
DRL
395
1,261
0
11 Jun 2021
Score-based Generative Modeling in Latent Space
Neural Information Processing Systems (NeurIPS), 2021
Arash Vahdat
Karsten Kreis
Jan Kautz
DiffM
656
844
0
10 Jun 2021
Densely connected normalizing flows
Neural Information Processing Systems (NeurIPS), 2021
Matej Grcić
Ivan Grubišić
Sinisa Segvic
TPM
397
65
0
08 Jun 2021
PassFlow: Guessing Passwords with Generative Flows
Dependable Systems and Networks (DSN), 2021
Giulio Pagnotta
Dorjan Hitaj
Fabio De Gaspari
L. Mancini
236
19
0
13 May 2021
Boltzmann Tuning of Generative Models
Victor Berger
Michele Sebag
178
0
0
12 Apr 2021
Implicit Normalizing Flows
International Conference on Learning Representations (ICLR), 2021
Cheng Lu
Jianfei Chen
Chongxuan Li
Qiuhao Wang
Jun Zhu
AI4CE
194
38
0
17 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Sam Bond-Taylor
Adam Leach
Yang Long
Chris G. Willcocks
VLM
TPM
896
668
0
08 Mar 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Neural Information Processing Systems (NeurIPS), 2021
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
1.0K
862
0
22 Jan 2021
NVAE: A Deep Hierarchical Variational Autoencoder
Neural Information Processing Systems (NeurIPS), 2020
Arash Vahdat
Jan Kautz
BDL
714
1,084
0
08 Jul 2020
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
Didrik Nielsen
P. Jaini
Emiel Hoogeboom
Ole Winther
Max Welling
TPM
BDL
DRL
470
98
0
06 Jul 2020
Why Normalizing Flows Fail to Detect Out-of-Distribution Data
Polina Kirichenko
Pavel Izmailov
A. Wilson
OODD
486
342
0
15 Jun 2020
Decoupling Global and Local Representations via Invertible Generative Flows
Xuezhe Ma
X. Kong
Shanghang Zhang
Eduard H. Hovy
DRL
296
3
0
12 Apr 2020
Gradient Boosted Normalizing Flows
Robert Giaquinto
A. Banerjee
BDL
DRL
352
1
0
27 Feb 2020
Scalable Variational Gaussian Processes for Crowdsourcing: Glitch Detection in LIGO
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Pablo Morales-Álvarez
Pablo Ruiz
S. Coughlin
Rafael Molina
Aggelos K. Katsaggelos
283
16
0
05 Nov 2019
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