Abhinav Kumar

2022202320241 11 12

Amit SharmaPrincipal Researcher, Microsoft ResearchVerified email at cornell.edu
Chenhao TanUniversity of ChicagoVerified email at chenhaot.com
Saketh BachuMS in Electrical Engineering at the University of California, RiversideVerified email at students.vnit.ac.in
Abbavaram Gowtham ReddyPh.D. Student, Indian Institute of Technology HyderabadVerified email at iith.ac.in
Aniket VashishthaMicrosoft ResearchVerified email at microsoft.com
Vineeth N BalasubramanianProfessor, Indian Institute of Technology, Hyderabad, IndiaVerified email at iith.ac.in
Gaurav SinhaPrincipal Researcher at Microsoft ResearchVerified email at microsoft.com
Amit DeshpandeMicrosoft ResearchVerified email at microsoft.com
Grasseau GillesLeprince-Ringuet Laboratory, IN2P3/CNRSVerified email at llr.in2p3.fr
Artur LobanovUniversity HamburgVerified email at cern.ch

Abhinav Kumar

Ph.D. Candidate, MIT

Verified email at mit.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Probing classifiers are unreliable for concept removal and detection A Kumar, C Tan, A Sharma Advances in Neural Information Processing Systems 35, 17994-18008, 2022	11	2022
Causal Inference Using LLM-Guided Discovery A Vashishtha, AG Reddy, A Kumar, S Bachu, VN Balasubramanian, ... arXiv preprint arXiv:2310.15117, 2023	7	2023
Disentangling mixtures of unknown causal interventions A Kumar, G Sinha Uncertainty in Artificial Intelligence, 2093-2102, 2021	3	2021
Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes A Kumar, A Deshpande, A Sharma arXiv preprint arXiv:2306.11072, 2023	2	2023
A deep neural network method for analyzing the CMS High Granularity Calorimeter (HGCAL) events G Grasseau, A Kumar, A Sartirana, A Lobanov, F Beaudette EPJ Web of Conferences 245, 02003, 2020	1	2020

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