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Dayal Singh Kalra
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[i8]Dayal Singh Kalra, Jean-Christophe Gagnon-Audet, Andrey Gromov, Ishita Mediratta, Kelvin Niu, Alexander H. Miller, Michael Shvartsman:
A Scalable Measure of Loss Landscape Curvature for Analyzing the Training Dynamics of LLMs. CoRR abs/2601.16979 (2026)
[i7]Dayal Singh Kalra, Maissam Barkeshli:
Quantifying Hyperparameter Transfer and the Importance of Embedding Layer Learning Rate. CoRR abs/2605.21486 (2026)- 2025
[c4]Dayal Singh Kalra, Tianyu He, Maissam Barkeshli:
Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos. ICLR 2025
[c3]Tao Tao, Darshil Doshi, Dayal Singh Kalra, Tianyu He, Maissam Barkeshli:
(How) Can Transformers Predict Pseudo-Random Numbers? ICML 2025
[i6]Tao Tao, Darshil Doshi, Dayal Singh Kalra, Tianyu He, Maissam Barkeshli:
(How) Can Transformers Predict Pseudo-Random Numbers? CoRR abs/2502.10390 (2025)
[i5]Dayal Singh Kalra, John Kirchenbauer, Maissam Barkeshli, Tom Goldstein:
When Can You Get Away with Low Memory Adam? CoRR abs/2503.01843 (2025)
[i4]Sean McLeish, Ang Li, John Kirchenbauer, Dayal Singh Kalra, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Jonas Geiping, Tom Goldstein, Micah Goldblum:
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence. CoRR abs/2511.07384 (2025)- 2024
[c2]Dayal Singh Kalra, Maissam Barkeshli:
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements. NeurIPS 2024
[i3]Dayal Singh Kalra, Maissam Barkeshli:
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements. CoRR abs/2406.09405 (2024)- 2023
[c1]Dayal Singh Kalra, Maissam Barkeshli:
Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width. NeurIPS 2023
[i2]Dayal Singh Kalra, Maissam Barkeshli:
Phase diagram of training dynamics in deep neural networks: effect of learning rate, depth, and width. CoRR abs/2302.12250 (2023)
[i1]Dayal Singh Kalra, Tianyu He, Maissam Barkeshli:
Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos. CoRR abs/2311.02076 (2023)
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