Vignesh Kothapalli

According to our database1, Vignesh Kothapalli authored at least 8 papers between 2018 and 2024.

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

Timeline

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Links

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Bibliography

2024
Liger Kernel: Efficient Triton Kernels for LLM Training.
CoRR, 2024

Crafting Heavy-Tails in Weight Matrix Spectrum without Gradient Noise.
CoRR, 2024

Kernel vs. Kernel: Exploring How the Data Structure Affects Neural Collapse.
CoRR, 2024

2023
Neural Collapse: A Review on Modelling Principles and Generalization.
Trans. Mach. Learn. Res., 2023

A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Randomized Schur Complement Views for Graph Contrastive Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Neural Collapse: A Review on Modelling Principles and Generalization.
CoRR, 2022

2018
Edge detection using fractional derivatives and information sets.
J. Electronic Imaging, 2018


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