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

43 citations

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12 papers · 1 filter

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…

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.LG2024★ 1 cited

Decoding Human Emotions: Analyzing Multi-Channel EEG Data using LSTM Networks

Shyam K Sateesh, Sparsh BK, Uma D

Emotion recognition from electroencephalogram (EEG) signals is a thriving field, particularly in neuroscience and Human-Computer Interaction (HCI). This study aims to understand an…

cs.LG2023★ 2 cited

An innovative Deep Learning Based Approach for Accurate Agricultural Crop Price Prediction

Mayank Ratan Bhardwaj, Jaydeep Pawar, Abhijnya Bhat +4

Accurate prediction of agricultural crop prices is a crucial input for decision-making by various stakeholders in agriculture: farmers, consumers, retailers, wholesalers, and the G…

cs.LG2021★ 5 cited

A Comprehensive Study on Various Statistical Techniques for Prediction of Movie Success

Manav Agarwal, Shreya Venugopal, Rishab Kashyap +1

The film industry is one of the most popular entertainment industries and one of the biggest markets for business. Among the contributing factors to this would be the success of a…

cs.LG2021

Tom: Leveraging trend of the observed gradients for faster convergence

Anirudh Maiya, Inumella Sricharan, Anshuman Pandey +1

The success of deep learning can be attributed to various factors such as increase in computational power, large datasets, deep convolutional neural networks, optimizers etc. Parti…