No Spurious Local Minima in Deep Quadratic Networks. - Abbas Kazemipour; Brett W. Larsen; Shaul Druckmann (CoRR, 2020)

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 (ICLR, 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 (NeurIPS, 2022)

Sketching Matrix Least Squares via Leverage Scores Estimates. - Brett W. Larsen; Tamara G. Kolda (CoRR, 2022)

Towards a more general understanding of the algorithmic utility of recurrent connections. - Brett W. Larsen; Shaul Druckmann (PLoS Comput. Biol., 2022)

Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition. - Brett W. Larsen; Tamara G. Kolda (SIAM J. Matrix Anal. Appl., 2022)

Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? - Mansheej Paul; Feng Chen 046; Brett W. Larsen; Jonathan Frankle; Surya Ganguli; Gintare Karolina Dziugaite (ICLR, 2023)

Duality of Bures and Shape Distances with Implications for Comparing Neural Representations. - Sarah E. Harvey; Brett W. Larsen; Alex H. Williams (UniReps, 2023)

Estimating Shape Distances on Neural Representations with Limited Samples. - Dean A. Pospisil; Brett W. Larsen; Sarah E. Harvey; Alex H. Williams (ICLR, 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)

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)