Murray, Michael

11 publications

ICLRW 2025 Investigating Hopfield Networks on Graphs: Learning Invariance and Storing Orbits Christopher Hillar, Michael Murray

NeurIPS 2025 Low Rank Gradients and Where to Find Them Rishi Sonthalia, Michael Murray, Guido Montufar

NeurIPS 2024 Benign Overfitting in Leaky ReLU Networks with Moderate Input Dimension Kedar Karhadkar, Erin George, Michael Murray, Guido Montúfar, Deanna Needell

NeurIPS 2024 Bounds for the Smallest Eigenvalue of the NTK for Arbitrary Spherical Data of Arbitrary Dimension Kedar Karhadkar, Michael Murray, Guido Montúfar

TMLR 2024 Mildly Overparameterized ReLU Networks Have a Favorable Loss Landscape Kedar Karhadkar, Michael Murray, Hanna Tseran, Guido Montufar

CoRL 2024 Teaching Robots with Show and Tell: Using Foundation Models to Synthesize Robot Policies from Language and Visual Demonstration Michael Murray, Abhishek Gupta, Maya Cakmak

ICLR 2023 Characterizing the Spectrum of the NTK via a Power Series Expansion Michael Murray, Hui Jin, Benjamin Bowman, Guido Montufar

NeurIPS 2023 Training Shallow ReLU Networks on Noisy Data Using Hinge Loss: When Do We Overfit and Is It Benign? Erin George, Michael Murray, William Swartworth, Deanna Needell

CoRL 2021 Learning Backchanneling Behaviors for a Social Robot via Data Augmentation from Human-Human Conversations Michael Murray, Nick Walker, Amal Nanavati, Patricia Alves-Oliveira, Nikita Filippov, Allison Sauppe, Bilge Mutlu, Maya Cakmak

CoRL 2019 Vision-and-Dialog Navigation Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer

NeurIPS 1993 Digital Boltzmann VLSI for Constraint Satisfaction and Learning Michael Murray, Ming-Tak Leung, Kan Boonyanit, Kong Kritayakirana, James B. Burg, Gregory J. Wolff, Tokahiro Watanabe, Edward Schwartz, David G. Stork, Allen M. Peterson