subham sekhar sahoo

2018201920202021202220232 17 24 40 63 63

Georg MartiusUniversity of Tübingen and Max Planck Institute for Intelligent SystemsVerified email at uni-tuebingen.de
Christoph H. LampertInstitute of Science and Technology Austria (ISTA)Verified email at ist.ac.at
Volodymyr KuleshovCornell TechVerified email at stanford.edu
Anselm PaulusPhD Student with IMPRS-IS @ MPI-IS TübingenVerified email at tuebingen.mpg.de
Marin VlastelicaPhD Student in Machine Learning, Max Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Vít MusilResearcher, Masaryk University, Brno, CzechiaVerified email at fi.muni.cz
Patrick RileyRelay TherapeuticsVerified email at relaytx.com
Rishabh SinghResearch Scientist, Google BrainVerified email at google.com
Subhashini VenugopalanUniversity of Texas at AustinVerified email at cs.utexas.edu
Li Li (李力)GoogleVerified email at google.com
Yair SchiffCornell UniversityVerified email at cs.cornell.edu
Phillip SiPh.D. Student, Georgia TechVerified email at gatech.edu

subham sekhar sahoo

Verified email at cs.cornell.edu


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning Equations for Extrapolation and Control SS Sahoo, CH Lampert, G Martius International Conference on Machine Learning (ICML), 2018	199	2018
Backpropagation through Combinatorial Algorithms: Identity with Projection Works SS Sahoo, A Paulus, M Vlastelica, V Musil, V Kuleshov, G Martius International Conference on Learning Representations (ICLR), 2023	7*	2023
Scaling Symbolic Methods using Gradients for Neural Model Explanation SS Sahoo, S Venugopalan, L Li, R Singh, P Riley International Conference on Learning Representations (ICLR), 2021	4	2021
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows P Si, Z Chen, SS Sahoo, Y Schiff, V Kuleshov International Conference on Machine Learning (ICML), 2023		2023
Training Neural Networks using SAT solvers SS Sahoo arXiv preprint arXiv:2206.04833, 2019		2019

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