7 citations · 7 across the 3 of their papers we have counts for
3 papers · 1 filter
ModHiFi: Identifying High Fidelity predictive components for Model Modification
Dhruva Kashyap, Chaitanya Murti, Pranav K Nayak +2
Open weight models, which are ubiquitous, rarely provide access to their training data or loss function. This makes modifying such models for tasks such as pruning or unlearning, w…
Density Operator Expectation Maximization
Adit Vishnu, Abhay Shastry, Dhruva Kashyap +1
Machine learning with density operators, the mathematical foundation of quantum mechanics, is gaining prominence with rapid advances in quantum computing. Generative models based o…
Robustness to Augmentations as a Generalization metric
Sumukh Aithal K, Dhruva Kashyap, Natarajan Subramanyam
Generalization is the ability of a model to predict on unseen domains and is a fundamental task in machine learning. Several generalization bounds, both theoretical and empirical h…