5 papers
Seeing Through the PRISM: Compound & Controllable Restoration of Scientific Images
Rupa Kurinchi-Vendhan, Pratyusha Sharma, Antonio Torralba +1
Scientific and environmental imagery often suffer from complex mixtures of noise related to the sensor and the environment. Existing restoration methods typically remove one degrad…
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
Shiva Sreeram, Alaa Maalouf, Pratyusha Sharma +1
Recently, Sharma et al. suggested a method called Layer-SElective-Rank reduction (LASER) which demonstrated that pruning high-order components of carefully chosen LLM's weight matr…
Hybrid Data can Enhance the Utility of Synthetic Data for Training Anti-Money Laundering Models
Rachel Chung, Pratyush Nidhi Sharma, Mikko Siponen +2
Money laundering is a critical global issue for financial institutions. Automated Anti-money laundering (AML) models, like Graph Neural Networks (GNN), can be trained to identify i…
Dion: Distributed Orthonormalized Updates
Kwangjun Ahn, Byron Xu, Natalie Abreu +5
Orthonormalized updates accelerate training, improve stability, and enable robust hyperparameter transfer, but existing methods like Muon rely on dense matrix operations that clash…
3SUM in Preprocessed Universes: Faster and Simpler
Shashwat Kasliwal, Adam Polak, Pratyush Sharma
We revisit the 3SUM problem in the \emph{preprocessed universes} setting. We present an algorithm that, given three sets , , of integers, preprocesses them in quadrat…