3 papers
cs.LG2026
Leveraging Data Symmetries to Select an Optimal Subset of Training Data under Label Noise
Kumar Shubham, Pavan Karjol, Kiran M K +1
The performance of machine learning models often relies on large labeled datasets; however, data collected from diverse sources can contain label noise. Recent work has shown that,…
cs.LG2026
Spectral Discovery of Continuous Symmetries via Generalized Fourier Transforms
Pavan Karjol, Kumar Shubham, Prathosh AP
Continuous symmetries are fundamental to many scientific and learning problems, yet they are often unknown a priori. Existing symmetry discovery approaches typically search directl…
cs.CL2026
Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs
Manoj Balaji Jagadeeshan, Samarth Bhatia, Pretam Ray +7
Text Generation has achieved remarkable performance using large language models. It has also been recently well-studied that these large language models are capable of creative gen…