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ORCIDBrett W. Larsen
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- affiliation: Stanford University, CA, USA
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2020 – today
- 2026
[i16]Siddharth Joshi, Haoli Yin, Rishabh Adiga, Ricardo Monti, Aldo Carranza, Alex Fang, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Fan Pan, Haakon Mongstad, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Luke Merrick, Parth Doshi, Paul Burstein, Pratyush Maini, Scott Loftin, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt:
DatBench: Discriminative, Faithful, and Efficient VLM Evaluations. CoRR abs/2601.02316 (2026)- [i15]Aldo Gael Carranza, Kaleigh Mentzer, Ricardo Pio Monti, Alex Fang, Alvin Deng, Amro Abbas, Anshuman Suri, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Diego Kiner, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Luke Merrick, Maximilian Böther, Parth Doshi, Paul Burstein, Pratyush Maini, Rishabh Adiga, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt:
ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset. CoRR abs/2602.15210 (2026) - [i14]Christina Baek, Ricardo Pio Monti, David Schwab, Amro Abbas, Rishabh Adiga, Cody Blakeney, Maximilian Böther, Paul Burstein, Aldo Gael Carranza, Alvin Deng, Parth Doshi, Vineeth Dorna, Alex Fang, Tony Jiang, Siddharth Joshi, Brett W. Larsen, Jason Chan Lee, Katherine L. Mentzer, Luke Merrick, Haakon Mongstad, Fan Pan, Anshuman Suri, Darren Teh, Jason Telanoff, Jack Urbanek, Zhengping Wang, Josh Wills, Haoli Yin, Aditi Raghunathan, J. Zico Kolter, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt, Pratyush Maini:
The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data. CoRR abs/2603.16177 (2026) - [i13]Siddharth Joshi, Haoli Yin, Rishabh Adiga, Haakon Mongstad, Alvin Deng, Aldo Carranza, Alex Fang, Amro Abbas, Anshuman Suri, Brett W. Larsen, Daniel Zayas, Darren Teh, David Schwab, Diego Kiner, Fan Pan, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Luke Merrick, Maximilian Böther, Parth Doshi, Paul Burstein, Pratyush Maini, Ties Robroek, Tony Jiang, Vidhi Jain, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt:
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone. CoRR abs/2605.11405 (2026) - 2025
- [i12]Pratyush Maini, Vineeth Dorna, Parth Doshi, Aldo Carranza, Fan Pan, Jack Urbanek, Paul Burstein, Alex Fang, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Charvi Bannur, Christina Baek, Darren Teh, David Schwab, Haakon Mongstad, Haoli Yin, Josh Wills, Kaleigh Mentzer, Luke Merrick, Ricardo Monti, Rishabh Adiga, Siddharth Joshi, Spandan Das, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt:
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining. CoRR abs/2508.10975 (2025) - [i11]Luke Merrick, Alex Fang, Aldo Carranza, Alvin Deng, Amro Abbas, Brett W. Larsen, Cody Blakeney, Darren Teh, David Schwab, Fan Pan, Haakon Mongstad, Haoli Yin, Jack Urbanek, Jason Lee, Jason Telanoff, Josh Wills, Kaleigh Mentzer, Paul Burstein, Parth Doshi, Paul Burnstein, Pratyush Maini, Ricardo Monti, Rishabh Adiga, Scott Loftin, Siddharth Joshi, Spandan Das, Tony Jiang, Vineeth Dorna, Zhengping Wang, Bogdan Gaza, Ari Morcos, Matthew L. Leavitt:
Luxical: High-Speed Lexical-Dense Text Embeddings. CoRR abs/2512.09015 (2025) - 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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