Karkada, Dhruva

5 publications

NeurIPS 2025 Alternating Gradient Flows: A Theory of Feature Learning in Two-Layer Neural Networks Daniel Kunin, Giovanni Luca Marchetti, Feng Chen, Dhruva Karkada, James B Simon, Michael R DeWeese, Surya Ganguli, Nina Miolane

NeurIPS 2025 Closed-Form Training Dynamics Reveal Learned Features and Linear Structure in Word2Vec-like Models Dhruva Karkada, James B Simon, Yasaman Bahri, Michael R DeWeese

NeurIPS 2025 On the Emergence of Linear Analogies in Word Embeddings Daniel James Korchinski, Dhruva Karkada, Yasaman Bahri, Matthieu Wyart

ICLR 2024 More Is Better: When Infinite Overparameterization Is Optimal and Overfitting Is Obligatory James B Simon, Dhruva Karkada, Nikhil Ghosh, Mikhail Belkin

TMLR 2023 The Eigenlearning Framework: A Conservation Law Perspective on Kernel Ridge Regression and Wide Neural Networks James B Simon, Madeline Dickens, Dhruva Karkada, Michael R DeWeese