Neural networks grown and self-organized by noise. - Guruprasad Raghavan; Matt Thomson 001 (NeurIPS, 2019)

Geometric algorithms for predicting resilience and recovering damage in neural networks. - Guruprasad Raghavan; Jiayi Li; Matt Thomson 001 (CoRR, 2020)

Self-organization of multi-layer spiking neural networks. - Guruprasad Raghavan; Cong Lin; Matt Thomson 001 (CoRR, 2020)

Architecture Agnostic Neural Networks. - Sabera Talukder; Guruprasad Raghavan; Yisong Yue (CoRR, 2020)

Sparsifying networks by traversing Geodesics. - Guruprasad Raghavan; Matt Thomson 001 (CoRR, 2020)

Solving hybrid machine learning tasks by traversing weight space geodesics. - Guruprasad Raghavan; Matt Thomson 001 (CoRR, 2021)

Engineering flexible machine learning systems by traversing functionally invariant paths in weight space. - Guruprasad Raghavan; Matt Thomson 001 (CoRR, 2022)

Engineering flexible machine learning systems by traversing functionally invariant paths. - Guruprasad Raghavan; Bahey Tharwat; Surya Narayanan Hari; Dhruvil Satani; Rex Liu; Matt Thomson 001 (Nat. Mac. Intell., 2024)