Lakshya Singhal

20212022202320242 14 18 7

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Rishikesan KamaleswaranDuke UniversityVerified email at duke.edu
Gari CliffordProfessor of Biomed Eng & Biomed Inform, Emory University and Georgia Institute of TechnologyVerified email at physionet.org
Greg MartinProfessor of Medicine, Emory University; Past-President, SCCMVerified email at emory.edu
Azade TabaieMedStar Health Research InstituteVerified email at medstar.net
A. Ian Wong, MD, PhDPulmonary / critical care, Duke UniversityVerified email at duke.edu
Andre HolderEmory UniversityVerified email at emory.edu
Thomas SerreProfessor, Brown University and ANR-3IA Artificial and Natural Intelligence Toulouse InstituteVerified email at brown.edu
Victor BoutinBrown University and Artificial and Natural Intelligence Toulouse Institute (ANITI)Verified email at brown.edu
Thomas FelBrown University, ANITI - Artificial and Natural Intelligence Toulouse InstituteVerified email at brown.edu
Akash NagarajResearch Scholar, Brown UniversityVerified email at brown.edu
Xavier ThomasMasters, Boston UniversityVerified email at bu.edu
Parag SinglaIndian Institute of Technology DelhiVerified email at cse.iitd.ac.in
Piyush TiwaryPh.D. Scholar, IISc BangaloreVerified email at iisc.ac.in
Prathosh A PAssistant Professor, Indian Institute of Science, BengaluruVerified email at iisc.ac.in
Ashish SardanaNVIDIAVerified email at nvidia.com
Julien ColinPhD Student. ELLIS Alicante - Brown UniversityVerified email at brown.edu

Lakshya Singhal

Verified email at iitd.ac.in - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19 L Singhal, Y Garg, P Yang, A Tabaie, AI Wong, A Mohammed, L Chinthala, ... PloS one 16 (9), e0257056, 2021	35	2021
Diffusion models as artists: are we closing the gap between humans and machines? V Boutin, T Fel, L Singhal, R Mukherji, A Nagaraj, J Colin, T Serre arXiv preprint arXiv:2301.11722, 2023	4	2023
Diversity vs. Recognizability: Human-like generalization in one-shot generative models V Boutin, L Singhal, X Thomas, T Serre Advances in Neural Information Processing Systems 35, 20933-20946, 2022	2	2022
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders AK Mondal, L Singhal, P Tiwary, P Singla, AP Prathosh International Conference on Artificial Intelligence and Statistics, 3440-3465, 2023	1	2023
[Re:] Training Binary Neural Networks using the Bayesian Learning Rule P Garg, L Singhal, A Sardana ML Reproducibility Challenge 2020, 2021		2021

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