Vignesh Kothapalli

According to our database1, Vignesh Kothapalli authored at least 14 papers between 2018 and 2025.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2025
CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context Demonstrations.
CoRR, February, 2025

Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications.
CoRR, February, 2025

360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation.
CoRR, January, 2025

Can Kernel Methods Explain How the Data Affects Neural Collapse?
Trans. Mach. Learn. Res., 2025

From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks.
Trans. Mach. Learn. Res., 2025

CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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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