Generative Distribution Embeddings

23 May 2025

Papers citing "Generative Distribution Embeddings"

27 / 27 papers shown

Title
Wasserstein Flow Matching: Generative modeling over families of distributions Doron Haviv Aram-Alexandre Pooladian Dana Peér Brandon Amos OOD 58 1 0 01 Nov 2024
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities Charlotte Bunne Yusuf Roohani Yanay Rosen Ankit Gupta Xikun Zhang ... Theofanis Karaletsos Aviv Regev Emma Lundberg J. Leskovec Stephen R. Quake 63 23 0 18 Sep 2024
Approximating mutual information of high-dimensional variables using learned representations Gokul Gowri Xiao-Kang Lun Allon M. Klein Peng Yin 43 5 0 03 Sep 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 94 11 0 26 Aug 2024
Fisher Flow Matching for Generative Modeling over Discrete Data Oscar Davis Samuel Kessler Mircea Petrache .Ismail .Ilkan Ceylan Michael M. Bronstein A. Bose 65 20 0 23 May 2024
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformers Doron Haviv Russell Z. Kunes Thomas Dougherty Cassandra Burdziak T. Nawy Anna Gilbert Dana Peér OT 55 7 0 15 Apr 2024
Dirichlet Flow Matching with Applications to DNA Sequence Design Hannes Stärk Bowen Jing Chenyu Wang Gabriele Corso Bonnie Berger Regina Barzilay Tommi Jaakkola BDL 59 52 0 08 Feb 2024
SODA: Bottleneck Diffusion Models for Representation Learning Drew A. Hudson Daniel Zoran Mateusz Malinowski Andrew Kyle Lampinen Andrew Jaegle James L. McClelland Loic Matthey Felix Hill Alexander Lerchner DiffM 57 51 0 29 Nov 2023
Interpretable Diffusion via Information Decomposition Xianghao Kong Ollie Liu Han Li Dani Yogatama Greg Ver Steeg 38 22 0 12 Oct 2023
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution Eric N. D. Nguyen Michael Poli Marjan Faizi A. Thomas Callum Birch-Sykes ... Stefano Massaroli Yoshua Bengio Stefano Ermon S. Baccus Christopher Ré MedIm 56 239 0 27 Jun 2023
Flow Matching for Generative Modeling Y. Lipman Ricky T. Q. Chen Heli Ben-Hamu Maximilian Nickel Matt Le OOD 114 1,189 0 06 Oct 2022
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets Lily H. Zhang Veronica Tozzo J. Higgins Rajesh Ranganath BDL MoE 36 17 0 23 Jun 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 151 30,069 0 01 Mar 2022
Universal Approximation of Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Michael A. Osborne Ingmar Posner PINN 73 57 0 05 Jul 2021
Neural Approximate Sufficient Statistics for Implicit Models Yanzhi Chen Dinghuai Zhang Michael U. Gutmann Aaron Courville Zhanxing Zhu 195 83 0 20 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 299 17,550 0 19 Jun 2020
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 66 2,322 0 06 Jun 2019
Generalized Sliced Wasserstein Distances Soheil Kolouri Kimia Nadjahi Umut Simsekli Roland Badeau Gustavo K. Rohde 33 296 0 01 Feb 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 173 8,807 0 25 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 453 129,831 0 12 Jun 2017
Learning Generative Models with Sinkhorn Divergences Aude Genevay Gabriel Peyré Marco Cuturi OT 114 625 0 01 Jun 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 225 2,441 0 10 Mar 2017
Towards a Neural Statistician Harrison Edwards Amos Storkey BDL 46 428 0 07 Jun 2016
Uncertain programming model for multi-item solid transportation problem Hasan Dalman 66 732 0 31 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Learning from Distributions via Support Measure Machines Krikamol Muandet Kenji Fukumizu Francesco Dinuzzo Bernhard Schölkopf 82 197 0 29 Feb 2012
FINE: Fisher Information Non-parametric Embedding K. Carter Raviv Raich W. Finn Alfred Hero 109 96 0 14 Feb 2008