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cs.LG2023
Enhancing ML model accuracy for Digital VLSI circuits using diffusion models: A study on synthetic data generation
Prasha Srivastava, Pawan Kumar, Zia Abbas
Generative AI has seen remarkable growth over the past few years, with diffusion models being state-of-the-art for image generation. This study investigates the use of diffusion mo…
cs.CV2023
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion
Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar
Recent approaches to the tensor completion problem have often overlooked the nonnegative structure of the data. We consider the problem of learning a nonnegative low-rank tensor, a…
cs.LG2023
Structured Low-Rank Tensor Learning
Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar
We consider the problem of learning low-rank tensors from partial observations with structural constraints, and propose a novel factorization of such tensors, which leads to a simp…