Savarese, Pedro Henrique Pamplona

5 publications

ICMLW 2024 Grokking, Rank Minimization and Generalization in Deep Learning David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Henrique Pamplona Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew Walter

ICMLW 2024 Rank Minimization, Alignment and Weight Decay in Neural Networks David Yunis, Kumar Kshitij Patel, Samuel Wheeler, Pedro Henrique Pamplona Savarese, Gal Vardi, Karen Livescu, Michael Maire, Matthew Walter

NeurIPSW 2022 On Convexity and Linear Mode Connectivity in Neural Networks David Yunis, Kumar Kshitij Patel, Pedro Henrique Pamplona Savarese, Gal Vardi, Jonathan Frankle, Matthew Walter, Karen Livescu, Michael Maire

ICLR 2021 Growing Efficient Deep Networks by Structured Continuous Sparsification Xin Yuan, Pedro Henrique Pamplona Savarese, Michael Maire

AISTATS 2019 Convergence of Gradient Descent on Separable Data Mor Shpigel Nacson, Jason Lee, Suriya Gunasekar, Pedro Henrique Pamplona Savarese, Nathan Srebro, Daniel Soudry