Sparsity-Constrained Optimal Transport

30 September 2022

Papers citing "Sparsity-Constrained Optimal Transport"

23 / 23 papers shown

Title
Improving Routing in Sparse Mixture of Experts with Graph of Tokens Tam Minh Nguyen Ngoc N. Tran Khai Nguyen Richard G. Baraniuk MoE 66 0 0 01 May 2025
Many-to-Many Matching via Sparsity Controlled Optimal Transport Weijie Liu Han Bao M. Yamada Zenan Huang Nenggan Zheng Hui Qian OT 58 0 0 31 Mar 2025
Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry Sai Sumedh R. Hindupur Ekdeep Singh Lubana Thomas Fel Demba Ba 45 4 0 03 Mar 2025
Tight Clusters Make Specialized Experts Stefan K. Nielsen R. Teo Laziz U. Abdullaev Tan M. Nguyen MoE 66 2 0 21 Feb 2025
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 23 0 0 08 Oct 2024
Submodular Framework for Structured-Sparse Optimal Transport Piyushi Manupriya Pratik Jawanpuria Karthik S. Gurumoorthy SakethaNath Jagarlapudi Bamdev Mishra OT 97 0 0 07 Jun 2024
Sparse Domain Transfer via Elastic Net Regularization Jingwei Zhang Farzan Farnia OT 53 0 0 13 May 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts Shengzhuang Chen Jihoon Tack Yunqiao Yang Yee Whye Teh Jonathan Richard Schwarz Ying Wei MoE 43 1 0 13 Mar 2024
Many-Objective Multi-Solution Transport Ziyue Li Tian Li Virginia Smith Jeff Bilmes Dinesh Manocha 43 3 0 06 Mar 2024
Routers in Vision Mixture of Experts: An Empirical Study Tianlin Liu Mathieu Blondel C. Riquelme J. Puigcerver MoE 46 3 0 29 Jan 2024
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport Othmane Sebbouh Marco Cuturi Gabriel Peyré OT 30 4 0 09 Nov 2023
Optimal Transport with Tempered Exponential Measures Ehsan Amid Frank Nielsen Richard Nock Manfred K. Warmuth OT 14 3 0 07 Sep 2023
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization Denis Kuznedelev Eldar Kurtic Eugenia Iofinova Elias Frantar Alexandra Peste Dan Alistarh VLM 35 11 0 03 Aug 2023
From Sparse to Soft Mixtures of Experts J. Puigcerver C. Riquelme Basil Mustafa N. Houlsby MoE 121 114 0 02 Aug 2023
High-Rate Phase Association with Travel Time Neural Fields Chengzhi Shi Maarten V. de Hoop Ivan Dokmanić 27 1 0 14 Jul 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs Jacob Lindbäck Zesen Wang Mikael Johansson OT 40 1 0 29 May 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps Marco Cuturi Michal Klein Pierre Ablin OT 24 15 0 08 Feb 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective Michael E. Sander J. Puigcerver Josip Djolonga Gabriel Peyré Mathieu Blondel 21 18 0 02 Feb 2023
Hybrid Gromov-Wasserstein Embedding for Capsule Learning Pourya Shamsolmoali Masoumeh Zareapoor Swagatam Das Eric Granger Salvador García MedIm 34 2 0 01 Sep 2022
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s Felix Chern Blake A. Hechtman Andy Davis Ruiqi Guo David Majnemer Surinder Kumar 102 22 0 28 Jun 2022
Unbiased Gradient Estimation with Balanced Assignments for Mixtures of Experts W. Kool Chris J. Maddison A. Mnih 34 10 0 24 Sep 2021
Regularized Optimal Transport and the Rot Mover's Distance Arnaud Dessein Nicolas Papadakis Jean-Luc Rouas OT 56 84 0 20 Oct 2016
New Perspectives on k-Support and Cluster Norms Andrew M. McDonald Massimiliano Pontil Dimitris Stamos 61 58 0 06 Mar 2014