output
20122026
most citedSpeech Denoising Without Clean Training Data: A Noise2Noise Approach

43 citations

78 papers

cs.LG2026

Pharmacokinetic State Space Models for Unbiased Prediction of Haemodynamic Collapse

Rithin Nagaraj, Sudiksha Chindula, Bhaskarjyoti Das

An Intraoperative Hypotension (IOH) event is a frequent complication during administration of general anaesthesia with serious downstream consequences, yet clinical management rema…

quant-ph2026

How Many Shots Does It Take? A Noise-Aware Quantum Resource Allocation Framework

Prateek P. Kulkarni, Sumit K. Mandal

Any algorithm execution on quantum computers requires several repeated and costly executions (known as shots) to obtain reliable results. In this work, we propose a closed-form acc…

cond-mat.mes-hall2025

Zero Indirect Band Gap in Non-Hermitian Systems

S Rahul, Giandomenico Palumbo

Zero indirect gaps in band models are typically viewed as unstable and achievable only through fine-tuning. Recent works, however, have revealed robust semimetallic phases in Hermi…

cs.LG2025★ 1 cited

REAct: Rational Exponential Activation for Better Learning and Generalization in PINNs

Sourav Mishra, Shreya Hallikeri, Suresh Sundaram

Physics-Informed Neural Networks (PINNs) offer a promising approach to simulating physical systems. Still, their application is limited by optimization challenges, mainly due to th…

cs.CL2024

Multi-Faceted Question Complexity Estimation Targeting Topic Domain-Specificity

Sujay R, Suki Perumal, Yash Nagraj +2

Question difficulty estimation remains a multifaceted challenge in educational and assessment settings. Traditional approaches often focus on surface-level linguistic features or l…

cs.SD2024★ 3 cited

Meta-Learning in Audio and Speech Processing: An End to End Comprehensive Review

Athul Raimon, Shubha Masti, Shyam K Sateesh +2

This survey overviews various meta-learning approaches used in audio and speech processing scenarios. Meta-learning is used where model performance needs to be maximized with minim…