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Sarath Shekkizhar
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2020 – today
- 2024
- [c10]Aryan Gulati, Xingjian Dong, Carlos Hurtado, Sarath Shekkizhar, Swabha Swayamdipta, Antonio Ortega:
Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression. EMNLP (Findings) 2024: 12943-12959 - [c9]Randall Balestriero, Romain Cosentino, Sarath Shekkizhar:
Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation. ICML 2024 - [i10]Romain Cosentino, Sarath Shekkizhar:
Reasoning in Large Language Models: A Geometric Perspective. CoRR abs/2407.02678 (2024) - [i9]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 abs/2407.13141 (2024) - 2023
- [c8]Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz Hidalgo, Antonio Ortega:
Study of Manifold Geometry Using Multiscale Non-Negative Kernel Graphs. ICASSP 2023: 1-5 - [i8]Randall Balestriero, Romain Cosentino, Sarath Shekkizhar:
Characterizing Large Language Model Geometry Solves Toxicity Detection and Generation. CoRR abs/2312.01648 (2023) - 2022
- [c7]Sarath Shekkizhar, Antonio Ortega:
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression. EUSIPCO 2022: 2161-2165 - [c6]David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar:
Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs. ICASSP 2022: 4328-4332 - [i7]Romain Cosentino, Sarath Shekkizhar, Mahdi Soltanolkotabi
, Salman Avestimehr, Antonio Ortega:
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning. CoRR abs/2209.08622 (2022) - [i6]Carlos Hurtado, Sarath Shekkizhar, Javier Ruiz Hidalgo, Antonio Ortega:
Study of Manifold Geometry using Multiscale Non-Negative Kernel Graphs. CoRR abs/2210.17475 (2022) - 2021
- [c5]Sarath Shekkizhar, Antonio Ortega:
Model selection and explainability in neural networks using a polytope interpolation framework. ACSCC 2021: 177-181 - [c4]David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar:
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. APSIPA ASC 2021: 351-358 - [i5]David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar:
Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation. CoRR abs/2107.12972 (2021) - [i4]Sarath Shekkizhar, Antonio Ortega:
NNK-Means: Dictionary Learning using Non-Negative Kernel regression. CoRR abs/2110.08212 (2021) - [i3]David Bonet, Antonio Ortega, Javier Ruiz Hidalgo, Sarath Shekkizhar:
Channel redundancy and overlap in convolutional neural networks with channel-wise NNK graphs. CoRR abs/2110.11400 (2021) - 2020
- [c3]Sarath Shekkizhar, Antonio Ortega:
Graph Construction from Data by Non-Negative Kernel Regression. ICASSP 2020: 3892-3896 - [c2]Sarath Shekkizhar, Antonio Ortega:
Efficient Graph Construction For Image Representation. ICIP 2020: 1956-1960 - [c1]Keisuke Nonaka, Sarath Shekkizhar, Antonio Ortega:
Graph-based Deep Learning Analysis and Instance Selection. MMSP 2020: 1-6 - [i2]Sarath Shekkizhar, Antonio Ortega:
DeepNNK: Explaining deep models and their generalization using polytope interpolation. CoRR abs/2007.10505 (2020)
2010 – 2019
- 2019
- [i1]Sarath Shekkizhar, Antonio Ortega:
Graph Construction from Data using Non Negative Kernel regression (NNK Graphs). CoRR abs/1910.09383 (2019)
Coauthor Index

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