Latent Normalizing Flows for Discrete Sequences

29 January 2019

Papers citing "Latent Normalizing Flows for Discrete Sequences"

37 / 37 papers shown

Title
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning Simo Alami C. Rim Kaddah Jesse Read Marie-Paule Cani 51 0 0 07 May 2025
Latent Bayesian Optimization via Autoregressive Normalizing Flows Seunghun Lee Jinyoung Park Jaewon Chu Minseo Yoon H. Kim BDL 38 1 0 21 Apr 2025
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi Kehang Han Zehao Wang Arnaud Doucet Michalis K. Titsias DiffM 85 63 0 17 Jan 2025
Energy-Based Diffusion Language Models for Text Generation Minkai Xu Tomas Geffner Karsten Kreis Weili Nie Yilun Xu J. Leskovec Stefano Ermon Arash Vahdat DiffM 49 7 0 28 Oct 2024
On Learning the Tail Quantiles of Driving Behavior Distributions via Quantile Regression and Flows Jia Yu Tee Oliver De Candido Wolfgang Utschick Philipp Geiger 27 0 0 22 May 2023
A Flow-Based Generative Model for Rare-Event Simulation Lachlan J. Gibson Marcus Hoerger Dirk P. Kroese 15 4 0 13 May 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 47 4 0 21 Apr 2023
Controllable Text Generation via Probability Density Estimation in the Latent Space Yuxuan Gu Xiaocheng Feng Sicheng Ma Lingyuan Zhang Heng Gong Weihong Zhong Bing Qin 24 18 0 16 Dec 2022
Whitening Convergence Rate of Coupling-based Normalizing Flows Felix Dräxler Christoph Schnörr Ullrich Kothe 36 7 0 25 Oct 2022
Conditional Independence Testing via Latent Representation Learning Bao Duong T. Nguyen BDL CML 31 6 0 04 Sep 2022
Discrete Tree Flows via Tree-Structured Permutations Mai Elkady Jim Lim David I. Inouye TPM 16 2 0 04 Jul 2022
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows Difeng Cai Yuliang Ji Huan He Qiang Ye Yuanzhe Xi TPM 30 4 0 05 Jun 2022
Invertible Neural Networks for Graph Prediction Chen Xu Xiuyuan Cheng Yao Xie GNN 28 9 0 02 Jun 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 32 7 0 19 Mar 2022
Semi-Discrete Normalizing Flows through Differentiable Tessellation Ricky T. Q. Chen Brandon Amos Maximilian Nickel 32 10 0 14 Mar 2022
Low-Rank Constraints for Fast Inference in Structured Models Justin T. Chiu Yuntian Deng Alexander M. Rush BDL 32 13 0 08 Jan 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
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 44 852 0 07 Jul 2021
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim Jungil Kong Juhee Son DRL 86 843 0 11 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 41 481 0 08 Mar 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom Didrik Nielsen P. Jaini Patrick Forré Max Welling DiffM 210 395 0 10 Feb 2021
A Comprehensive Survey on Deep Music Generation: Multi-level Representations, Algorithms, Evaluations, and Future Directions Shulei Ji Jing Luo Xinyu Yang MGen 13 125 0 13 Nov 2020
Variational Dynamic Mixtures Chen Qiu Stephan Mandt Maja R. Rudolph BDL AI4TS 16 2 0 20 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 30 12 0 07 Oct 2020
Generative models with kernel distance in data space Szymon Knop Marcin Mazur Przemysław Spurek Jacek Tabor Igor T. Podolak GAN SyDa 27 11 0 15 Sep 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 21 43 0 17 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise Generator Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 30 22 0 11 Jun 2020
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models Zhijian Ou Yunfu Song BDL 32 8 0 28 May 2020
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings Shweta Mahajan Iryna Gurevych Stefan Roth DRL 21 36 0 16 Feb 2020
Paraphrase Generation with Latent Bag of Words Yao Fu Yansong Feng John P. Cunningham BDL 25 91 0 07 Jan 2020
A Bilingual Generative Transformer for Semantic Sentence Embedding John Wieting Graham Neubig Taylor Berg-Kirkpatrick 19 28 0 10 Nov 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R. Cornish Anthony L. Caterini George Deligiannidis Arnaud Doucet 22 2 0 30 Sep 2019
Intensity-Free Learning of Temporal Point Processes Oleksandr Shchur Marin Bilos Stephan Günnemann AI4TS 27 167 0 26 Sep 2019
Conditional Flow Variational Autoencoders for Structured Sequence Prediction Apratim Bhattacharyya M. Hanselmann Mario Fritz Bernt Schiele C. Straehle BDL DRL AI4TS 27 84 0 24 Aug 2019
Structured Output Learning with Conditional Generative Flows You Lu Bert Huang BDL DRL 21 72 0 30 May 2019
Discrete Flows: Invertible Generative Models of Discrete Data Dustin Tran Keyon Vafa Kumar Krishna Agrawal Laurent Dinh Ben Poole DRL 24 114 0 24 May 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 24 27 0 17 Apr 2019