6 citations · 6 across the 11 of their papers we have counts for
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cs.LG2025
Neural Estimation for Scaling Entropic Multimarginal Optimal Transport
Dor Tsur, Ziv Goldfeld, Kristjan Greenewald +1
Multimarginal optimal transport (MOT) is a powerful framework for modeling interactions between multiple distributions, yet its applicability is bottlenecked by a high computationa…
cs.LG2025
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation
Eyal Yakir, Dor Tsur, Haim Permuter
Time series forecasting is a long-standing problem in statistics and machine learning. One of the key challenges is processing sequences with long-range dependencies. To that end,…
cs.LG2023★ 6 cited
Max-Sliced Mutual Information
Dor Tsur, Ziv Goldfeld, Kristjan Greenewald
Quantifying the dependence between high-dimensional random variables is central to statistical learning and inference. Two classical methods are canonical correlation analysis (CCA…