Brett W. Larsen

According to our database, Brett W. Larsen authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data.

Brett W. Larsen, Tamara G. Kolda, Anru R. Zhang, Alex H. Williams

CoRR, 2024

Does your data spark joy? Performance gains from domain upsampling at the end of training.

Cody Blakeney, Mansheej Paul, Brett W. Larsen, Sean Owen, Jonathan Frankle

CoRR, 2024

Estimating Shape Distances on Neural Representations with Limited Samples.

Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey, Alex H. Williams

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Duality of Bures and Shape Distances with Implications for Comparing Neural Representations.

Sarah E. Harvey, Brett W. Larsen, Alex H. Williams

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?

Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition.

Brett W. Larsen, Tamara G. Kolda

SIAM J. Matrix Anal. Appl., September, 2022

Towards a more general understanding of the algorithmic utility of recurrent connections.

Brett W. Larsen, Shaul Druckmann

PLoS Comput. Biol., 2022

Sketching Matrix Least Squares via Leverage Scores Estimates.

Brett W. Larsen, Tamara G. Kolda

CoRR, 2022

Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks.

Mansheej Paul, Brett W. Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

How many degrees of freedom do we need to train deep networks: a loss landscape perspective.

Brett W. Larsen, Stanislav Fort, Nic Becker, Surya Ganguli

Proceedings of the Tenth International Conference on Learning Representations, 2022

2020

No Spurious Local Minima in Deep Quadratic Networks.

Abbas Kazemipour, Brett W. Larsen, Shaul Druckmann

CoRR, 2020