Allan Douglas Jepson — accepted AI-conference papers

2025

A Truncated Newton Method for Optimal Transport

Mete Kemertas, Amir-massoud Farahmand, Allan Douglas Jepson

ICLR 2025poster

Developing a contemporary optimal transport (OT) solver requires navigating trade-offs among several critical requirements: GPU parallelization, scalability to high-dimensional problems, theoretical convergence guarantees, empirical performance in terms of precision versus runtime, and numerical sta…

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2021

Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers

Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan Douglas Jepson

NeurIPS 2021poster

In this work, we consider the problem of sequence-to-sequence alignment for signals containing outliers. Assuming the absence of outliers, the standard Dynamic Time Warping (DTW) algorithm efficiently computes the optimal alignment between two (generally) variable-length sequences. While DTW is ro…

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