Sarath Shekkizhar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Dictionary Learning

Kernel Regression

Instance Selection

Convolutional Neural Networks

Top Venues

Publications

Aryan Gulati, Xingjian Dong, Carlos Hurtado, Sarath Shekkizhar, Swabha Swayamdipta, Antonio Ortega
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression. CoRR (2024)
Romain Cosentino, Sarath Shekkizhar
Reasoning in Large Language Models: A Geometric Perspective. CoRR (2024)
Randall Balestriero, Romain Cosentino, Sarath Shekkizhar
Characterizing Large Language Model Geometry Solves Toxicity Detection and Generation. CoRR (2023)
Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz Hidalgo, Antonio Ortega
Study of Manifold Geometry Using Multiscale Non-Negative Kernel Graphs. ICASSP (2023)
Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz Hidalgo, Antonio Ortega
Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs. CoRR (2022)
David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs. ICASSP (2022)
Sarath Shekkizhar, Antonio Ortega
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression. EUSIPCO (2022)
Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi, Salman Avestimehr, Antonio Ortega
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning. CoRR (2022)
Sarath Shekkizhar, Antonio Ortega
Model selection and explainability in neural networks using a polytope interpolation framework. ACSCC (2021)
David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs. CoRR (2021)
Sarath Shekkizhar, Antonio Ortega
NNK-Means: Dictionary Learning using Non-Negative Kernel regression. CoRR (2021)
David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. CoRR (2021)
David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. APSIPA ASC (2021)
Keisuke Nonaka, Sarath Shekkizhar, Antonio Ortega
Graph-based Deep Learning Analysis and Instance Selection. MMSP (2020)
Sarath Shekkizhar, Antonio Ortega
Efficient Graph Construction For Image Representation. ICIP (2020)
Sarath Shekkizhar, Antonio Ortega
Graph Construction from Data by Non-Negative Kernel Regression. ICASSP (2020)
Sarath Shekkizhar, Antonio Ortega
DeepNNK: Explaining deep models and their generalization using polytope interpolation. CoRR (2020)
Sarath Shekkizhar, Antonio Ortega
Graph Construction from Data using Non Negative Kernel regression (NNK Graphs). CoRR (2019)