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ORCIDBrett W. Larsen
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2024
[c5]Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey, Alex H. Williams:
Estimating Shape Distances on Neural Representations with Limited Samples. ICLR 2024- [i10]Cody Blakeney, Mansheej Paul, Brett W. Larsen, Sean Owen, Jonathan Frankle:
Does your data spark joy? Performance gains from domain upsampling at the end of training. CoRR abs/2406.03476 (2024) - [i9]Brett W. Larsen, Tamara G. Kolda, Anru R. Zhang, Alex H. Williams:
Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data. CoRR abs/2408.05677 (2024) - 2023
- [c4]Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite:
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? ICLR 2023 - [c3]Sarah E. Harvey, Brett W. Larsen, Alex H. Williams:
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations. UniReps 2023: 11-26 - [i8]Dean A. Pospisil, Brett W. Larsen, Sarah E. Harvey
, Alex H. Williams:
Estimating Shape Distances on Neural Representations with Limited Samples. CoRR abs/2310.05742 (2023) - [i7]Sarah E. Harvey, Brett W. Larsen, Alex H. Williams:
Duality of Bures and Shape Distances with Implications for Comparing Neural Representations. CoRR abs/2311.11436 (2023) - 2022
- [j2]Brett W. Larsen, Shaul Druckmann:
Towards a more general understanding of the algorithmic utility of recurrent connections. PLoS Comput. Biol. 18(6) (2022) - [j1]Brett W. Larsen, Tamara G. Kolda:
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition. SIAM J. Matrix Anal. Appl. 43(3): 1488-1517 (2022) - [c2]Brett W. Larsen, Stanislav Fort, Nic Becker, Surya Ganguli:
How many degrees of freedom do we need to train deep networks: a loss landscape perspective. ICLR 2022 - [c1]Mansheej Paul, Brett W. Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite:
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks. NeurIPS 2022 - [i6]Brett W. Larsen, Tamara G. Kolda:
Sketching Matrix Least Squares via Leverage Scores Estimates. CoRR abs/2201.10638 (2022) - [i5]Mansheej Paul, Brett W. Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite:
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks. CoRR abs/2206.01278 (2022) - [i4]Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite:
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? CoRR abs/2210.03044 (2022) - 2021
- [i3]Brett W. Larsen, Stanislav Fort, Nic Becker, Surya Ganguli:
How many degrees of freedom do we need to train deep networks: a loss landscape perspective. CoRR abs/2107.05802 (2021) - 2020
- [i2]Abbas Kazemipour, Brett W. Larsen, Shaul Druckmann:
No Spurious Local Minima in Deep Quadratic Networks. CoRR abs/2001.00098 (2020) - [i1]Brett W. Larsen, Tamara G. Kolda:
Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition. CoRR abs/2006.16438 (2020)
Coauthor Index
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