Sarath Shekkizhar

According to our database1, Sarath Shekkizhar authored at least 13 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Characterizing Large Language Model Geometry Solves Toxicity Detection and Generation.
CoRR, 2023

Study of Manifold Geometry Using Multiscale Non-Negative Kernel Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
The Geometry of Self-supervised Learning Models and its Impact on Transfer Learning.
CoRR, 2022

Channel Redundancy and Overlap in Convolutional Neural Networks with Channel-Wise NNK Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2022

NNK-Means: Data summarization using dictionary learning with non-negative kernel regression.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
NNK-Means: Dictionary Learning using Non-Negative Kernel regression.
CoRR, 2021

Channel-Wise Early Stopping without a Validation Set via NNK Polytope Interpolation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021

Model selection and explainability in neural networks using a polytope interpolation framework.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
DeepNNK: Explaining deep models and their generalization using polytope interpolation.
CoRR, 2020

Graph-based Deep Learning Analysis and Instance Selection.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Efficient Graph Construction For Image Representation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Graph Construction from Data by Non-Negative Kernel Regression.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Graph Construction from Data using Non Negative Kernel regression (NNK Graphs).
CoRR, 2019


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