Graph Construction from Data using Non Negative Kernel regression (NNK Graphs). - Sarath Shekkizhar; Antonio Ortega (CoRR, 2019)

Graph Construction from Data by Non-Negative Kernel Regression. - Sarath Shekkizhar; Antonio Ortega (ICASSP, 2020)

Efficient Graph Construction For Image Representation. - Sarath Shekkizhar; Antonio Ortega (ICIP, 2020)

Graph-based Deep Learning Analysis and Instance Selection. - Keisuke Nonaka; Sarath Shekkizhar; Antonio Ortega (MMSP, 2020)

DeepNNK: Explaining deep models and their generalization using polytope interpolation. - Sarath Shekkizhar; Antonio Ortega (CoRR, 2020)

Model selection and explainability in neural networks using a polytope interpolation framework. - Sarath Shekkizhar; Antonio Ortega (ACSCC, 2021)

Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. - David Bonet; Antonio Ortega; Javier Ruiz Hidalgo; Sarath Shekkizhar (APSIPA ASC, 2021)

NNK-Means: Dictionary Learning using Non-Negative Kernel regression. - Sarath Shekkizhar; Antonio Ortega (CoRR, 2021)

NNK-Means: Data summarization using dictionary learning with non-negative kernel regression. - Sarath Shekkizhar; Antonio Ortega (EUSIPCO, 2022)

Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs. - David Bonet; Antonio Ortega; Javier Ruiz Hidalgo; Sarath Shekkizhar (ICASSP, 2022)

The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning. - Romain Cosentino; Sarath Shekkizhar; Mahdi Soltanolkotabi; Salman Avestimehr; Antonio Ortega (CoRR, 2022)

Study of Manifold Geometry Using Multiscale Non-Negative Kernel Graphs. - Carlos Hurtado; Sarath Shekkizhar; Javier Ruiz Hidalgo; Antonio Ortega (ICASSP, 2023)

Characterizing Large Language Model Geometry Solves Toxicity Detection and Generation. - Randall Balestriero; Romain Cosentino; Sarath Shekkizhar (CoRR, 2023)

Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression. - Aryan Gulati; Xingjian Dong; Carlos Hurtado; Sarath Shekkizhar; Swabha Swayamdipta; Antonio Ortega (EMNLP (Findings), 2024)

Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation. - Randall Balestriero; Romain Cosentino; Sarath Shekkizhar (ICML, 2024)

Reasoning in Large Language Models: A Geometric Perspective. - Romain Cosentino; Sarath Shekkizhar (CoRR, 2024)

AGI Is Coming... Right After AI Learns to Play Wordle. - Sarath Shekkizhar; Romain Cosentino (CoRR, 2025)