Guruprasad Raghavan | DeepAI

DeepAI AI Chat

Featured Co-authors

Yisong Yue
96 publications
Matt Thomson
11 publications
Jiayi Li
8 publications
Cong Lin
6 publications
Sabera Talukder
3 publications

∙ 04/30/2022

Engineering flexible machine learning systems by traversing functionally invariant paths in weight space

Deep neural networks achieve human-like performance on a variety of perc...

11 Guruprasad Raghavan, et al. ∙

∙ 06/05/2021

Solving hybrid machine learning tasks by traversing weight space geodesics

Machine learning problems have an intrinsic geometric structure as centr...

0 Guruprasad Raghavan, et al. ∙

∙ 12/12/2020

Sparsifying networks by traversing Geodesics

The geometry of weight spaces and functional manifolds of neural network...

0 Guruprasad Raghavan, et al. ∙

∙ 11/05/2020

Architecture Agnostic Neural Networks

In this paper, we explore an alternate method for synthesizing neural ne...

19 Sabera Talukder, et al. ∙

∙ 06/12/2020

Self-organization of multi-layer spiking neural networks

Living neural networks in our brains autonomously self-organize into lar...

0 Guruprasad Raghavan, et al. ∙

∙ 05/23/2020

Geometric algorithms for predicting resilience and recovering damage in neural networks

Biological neural networks have evolved to maintain performance despite ...

9 Guruprasad Raghavan, et al. ∙

∙ 06/03/2019

Neural networks grown and self-organized by noise

Living neural networks emerge through a process of growth and self-organ...

0 Guruprasad Raghavan, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world