Scholar

Vignesh Kothapalli

Google Scholar ID: o-Q9KhwAAAAJ

PhD Student, Stanford University

Deep Learning

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

310

H-index

8

i10-index

7

Publications

13

Co-authors

17

list available

Publications

10 items

Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks

2026

Cited

0

PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models

2026

Cited

0

Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation

2025

Cited

0

To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples

2025

Cited

0

CoT-ICL Lab: A Petri Dish for Studying Chain-of-Thought Learning from In-Context Demonstrations

2025

Cited

0

Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications

2025

Cited

0

360Brew: A Decoder-only Foundation Model for Personalized Ranking and Recommendation

2025

Cited

0

Liger Kernel: Efficient Triton Kernels for LLM Training

arXiv.org · 2024

Cited

4

Co-authors

13 total

Assistant Professor at Bar-Ilan University

Principal (Director) Research Scientist Meta AI

Indian Institute of Technology Bombay, Indian Institute of Technology Guwahati, University of

A G Ramakrishnan/ Ramakrishnan Angarai Ganesan

Adj. faculty, IIT Hyd, Org Dev Consultant, CBR-IISc, Prof of EE & Neurosc (Retd), I.I.Sc.

Senior Staff Engineer and Researcher