Sushant Agarwal

21 papers A* 4A 1B 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Aggregating Data for Optimal Learning. UAI Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer
2025	A*	`conf`	Optimal Fair Learning Robust to Adversarial Distribution Shift. ICML Sushant Agarwal, Amit Deshpande, Rajmohan Rajaraman, Ravi Sundaram
2025	A*	`conf`	Private Mean Estimation with Person-Level Differential Privacy. SODA Sushant Agarwal, Gautam Kamath, Mahbod Majid, Argyris Mouzakis, Rose Silver, Jonathan R. Ullman
2024	J	`jnl`	Aggregating Data for Optimal and Private Learning. CoRR Sushant Agarwal, Yukti Makhija, Rishi Saket, Aravindan Raghuveer
2024	J	`jnl`	COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. Frontiers Artif. Intell. Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun Kumar Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri
2024	J	`jnl`	On the Power of Randomization in Fair Classification and Representation. CoRR Sushant Agarwal, Amit Deshpande
2024	J	`jnl`	Private Mean Estimation with Person-Level Differential Privacy. CoRR Sushant Agarwal, Gautam Kamath, Mahbod Majid, Argyris Mouzakis, Rose Silver, Jonathan R. Ullman
2023	J	`jnl`	UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias. IEEE Access Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet K. Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu
2022	J	`jnl`	Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. Comput. Biol. Medicine Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri
2022	—	`conf`	On the Power of Randomization in Fair Classification and Representation. FAccT Sushant Agarwal, Amit Deshpande
2021	J	`jnl`	A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. Comput. Biol. Medicine Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Mainak Biswas, Luca Saba, Arindam Bit, Gopal S. Tandel, Mohit Agarwal, Anubhav Patrick, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, D. Subbaram Naidu
2021	J	`jnl`	Impossibility results for fair representations. CoRR Tosca Lechner, Shai Ben-David, Sushant Agarwal, Nivasini Ananthakrishnan
2021	A*	`conf`	Open Problem: Are all VC-classes CPAC learnable? COLT Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner
2021	J	`jnl`	Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE J. Biomed. Health Informatics Jasjit S. Suri, Sushant Agarwal, Suneet K. Gupta, Anudeep Puvvula, Klaudija Viskovic, Neha Suri, Azra Alizad, Ayman El-Baz, Luca Saba, Mostafa Fatemi, D. Subbaram Naidu
2021	A*	`conf`	Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. ICML Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju
2021	J	`jnl`	Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. CoRR Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Zhiwei Steven Wu, Himabindu Lakkaraju
2020	B	`conf`	On Learnability wih Computable Learners. ALT Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner
2018	—	`conf`	Legislative Compliance Assessment: Framework, Model and GDPR Instantiation. APF Sushant Agarwal, Simon Steyskal, Franjo Antunovic, Sabrina Kirrane
2018	—	`ch.`	Privacy in Location-Sensing Technologies. Handbook of Mobile Data Privacy Andreas Solti, Sushant Agarwal, Sarah Spiekermann-Hoff
2015	—	`conf`	Developing a Structured Metric to Measure Privacy Risk in Privacy Impact Assessments. Privacy and Identity Management Sushant Agarwal
1999	—	`conf`	PROVERB: The Probabilistic Cruciverbalist. AAAI/IAAI Greg A. Keim, Noam M. Shazeer, Michael L. Littman, Sushant Agarwal, Catherine M. Cheves, Joseph Fitzgerald, Jason Grosland, Fan Jiang, Shannon Pollard, Karl Weinmeister