Parameteric coding of speech signals. - Vivek Kumar Sehgal; Shilpy Arora; Sahil Jain; Shantanu Agarwal; Ujjawal Khandelwal; Karan Jain (ICUMT, 2009)

Effects of sentence structure and word complexity on intelligibility in machine-to-human communications. - C. T. Justine Hui; Sahil Jain; Catherine I. Watson (Comput. Speech Lang., 2019)

Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network. - Rohan Panda; Sahil Jain; R. K. Tripathy 001; U. Rajendra Acharya (Comput. Biol. Medicine, 2020)

Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback. - Yuchen Cui; Qiping Zhang; Sahil Jain; Alessandro Allievi; Peter Stone 001; Scott Niekum; W. Bradley Knox (AAAI, 2021)

Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-Terms in Wigner-Ville Distribution. - Rohan Panda; Sahil Jain; R. K. Tripathy 001; Rishi Raj Sharma; Ram Bilas Pachori (Circuits Syst. Signal Process., 2021)

A novel machine learning-based analytical framework for automatic detection of COVID-19 using chest X-ray images. - Shikhar Johri; Mehendi Goyal; Sahil Jain; Manoj Baranwal; Vinay Kumar; Rahul Upadhyay (Int. J. Imaging Syst. Technol., 2021)

Counterexample Guided Knowledge Compilation for Boolean Functional Synthesis. - S. Akshay 001; Supratik Chakraborty; Sahil Jain (CAV (1), 2023)

Novel Methodology to Optimize TAT and Resource Utilization for ATPG Simulations for Large SoCs. - Sudhakar Kongala; Anuj Gupta; Yash Walia; Sahil Jain (ITC, 2023)

Auto-pore segmentation of digital microscopic leather images for species identification. - Anjli Varghese; Sahil Jain; Malathy Jawahar; A. Amalin Prince (Eng. Appl. Artif. Intell., 2023)

Leveraging Prosody as an Informative Teaching Signal for Agent Learning: Exploratory Studies and Algorithmic Implications. - Matilda Knierim; Sahil Jain; Murat Han Aydogan; Kenneth Mitra; Kush Desai; Akanksha Saran; Kim Baraka (ICMI, 2024)

Modeling Clinical Decision Variability in Explainable Multimodal Seizure Detection. - Asfandyar Azhar; Amulyal Mathur; Sahil Jain; James Emilian; Shaurjya Mandal; Nidhish Shah; Yongjie Jessica Zhang (ML4H@NeurIPS, 2024)

NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. - Gerald Shen; Zhilin Wang; Olivier Delalleau; Jiaqi Zeng; Yi Dong; Daniel Egert; Shengyang Sun; Jimmy J. Zhang; Sahil Jain; Ali Taghibakhshi; Markel Sanz Ausin; Ashwath Aithal; et al. (CoRR, 2024)

StyleSplat: 3D Object Style Transfer with Gaussian Splatting. - Sahil Jain; Avik Kuthiala; Prabhdeep Singh Sethi; Prakanshul Saxena (CoRR, 2024)

Prosody as a Teaching Signal for Agent Learning: Exploratory Studies and Algorithmic Implications. - Matilda Knierim; Sahil Jain; Murat Han Aydogan; Kenneth Mitra; Kush Desai; Akanksha Saran; Kim Baraka (CoRR, 2024)

Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models. - Rohit Jena; Ali Taghibakhshi; Sahil Jain; Gerald Shen; Nima Tajbakhsh; Arash Vahdat (WACV, 2025)

Training Video Foundation Models with NVIDIA NeMo. - Zeeshan Patel; Ethan He; Parth Mannan; Xiaowei Ren; Ryan Wolf; Niket Agarwal; Jacob Samuel Huffman; Zhuoyao Wang; Carl Wang; Jack Chang; Yan Bai; Tommy Huang; et al. (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)