影响力指数

73.6/100

前 2.1%

全站排名 #1,350

发表论文14 篇

平均评分5.7

年均产出4.7 篇/年

Soheil Kolouri

Assistant Professor@Vanderbilt University·美国·OpenReview

研究方向

Machine Learning and Computer Vision · Optimal Mass Transportation and Wasserstein Distances · Domain Adaptation and Transfer Learning · Few/Zero-Shot Learning

3.5

Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data

ICLR 2025Spotlight

通讯

6.8

Linear Partial Gromov-Wasserstein Embedding

ICLR 2025Poster

通讯

6.8

Partial Gromov-Wasserstein Metric

ICLR 2025Poster

通讯

6.7

Expected Sliced Transport Plans

ICLR 2025Poster

通讯

6.3

Understanding Learning with Sliced-Wasserstein Requires Re-thinking Informative Slices

ICLR 2025Rejected

通讯

6.3

ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans

ICML 2025Poster

通讯

6.0

MCNC: Manifold-Constrained Reparameterization for Neural Compression

合作者 (20)

Soheil Kolouri

LOTFormer: Doubly-Stochastic Linear Attention via Low-Rank Optimal Transport

TRANSPORT-BASED MEAN FLOWS FOR GENERATIVE MODELING

FUSED PARTIAL GROMOV-WASSERSTEIN FOR STRUCTURED OBJECTS

Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data

Linear Partial Gromov-Wasserstein Embedding

Partial Gromov-Wasserstein Metric

Expected Sliced Transport Plans

Understanding Learning with Sliced-Wasserstein Requires Re-thinking Informative Slices

ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans

MCNC: Manifold-Constrained Reparameterization for Neural Compression