collaborators

6 papers

cs.SD2026

SonoEdit: Null-Space Constrained Knowledge Editing for Pronunciation Correction in LLM-Based TTS

Ayush Pratap Singh, Harshit Singh, Nityanand Mathur +2

Neural text-to-speech (TTS) systems systematically mispronounce low-resource proper nouns, particularly non-English names, brands, and geographic locations, due to their underrepre…

cs.CV2025

Odo: Depth-Guided Diffusion for Identity-Preserving Body Reshaping

Siddharth Khandelwal, Sridhar Kamath, Arjun Jain

Human shape editing enables controllable transformation of a person's body shape, such as thin, muscular, or overweight, while preserving pose, identity, clothing, and background.…

physics.chem-ph2025

Efficient Implementation of Gaussian Process Regression Accelerated Saddle Point Searches with Application to Molecular Reactions

Rohit Goswami, Maxim Masterov, Satish Kamath +2

The task of locating first order saddle points on high-dimensional surfaces describing the variation of energy as a function of atomic coordinates is an essential step for identify…

cs.CY2025

Intellectual Property Rights and Entrepreneurship in the NFT Ecosystem: Legal Frameworks, Business Models, and Innovation Opportunities

Pranav Darshan, Rohan J S, Raghuveer Rajesh +3

Non Fungible Tokens have changed digital ownership and how creators earn money. Between 2021 and 2024, the market value exceeded 40 billion. However, the fast growth of the NFT eco…

astro-ph.HE2025

Parameter constraints for accreting millisecond pulsars with synthetic NICER data

Bas Dorsman, Tuomo Salmi, Anna L. Watts +10

Pulse profile modelling (PPM) is a technique for inferring mass, radius and hotspot properties of millisecond pulsars. PPM is now regularly used for analysis of rotation-powered mi…

cs.RO2025

CuRLA: Curriculum Learning Based Deep Reinforcement Learning for Autonomous Driving

Bhargava Uppuluri, Anjel Patel, Neil Mehta +2

In autonomous driving, traditional Computer Vision (CV) agents often struggle in unfamiliar situations due to biases in the training data. Deep Reinforcement Learning (DRL) agents…