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ORCIDHarish S. Bhat
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2020 – today
- 2024
[i12]Harish S. Bhat, Hardeep Bassi, Karnamohit Ranka, Christine M. Isborn:
A Linear Time-Delay Scheme to Propagate Reduced Electron Density Matrices. CoRR abs/2403.15596 (2024)- 2022
- [j9]Ryeongkyung Yoon, Harish S. Bhat, Braxton Osting
:
A Nonautonomous Equation Discovery Method for Time Signal Classification. SIAM J. Appl. Dyn. Syst. 21(1): 33-59 (2022) - [c15]Harish S. Bhat, Kevin Collins, Prachi Gupta, Christine M. Isborn:
Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham System. L4DC 2022: 546-558 - [i11]Harish S. Bhat:
Drift Identification for Lévy alpha-Stable Stochastic Systems. CoRR abs/2212.03317 (2022) - [i10]Majerle Reeves, Harish S. Bhat:
Neural Continuous-Time Markov Models. CoRR abs/2212.05378 (2022) - 2021
- [c14]Harish S. Bhat:
System Identification via the Adjoint Method. ACSCC 2021: 1317-1321 - [i9]Prachi Gupta, Harish S. Bhat, Karnamohit Ranka, Christine M. Isborn:
Statistical learning method for predicting density-matrix based electron dynamics. CoRR abs/2108.00318 (2021) - [i8]Harish S. Bhat, Majerle Reeves, Sidra J. Goldman-Mellor:
Equity-Directed Bootstrapping: Examples and Analysis. CoRR abs/2108.06624 (2021) - [i7]Harish S. Bhat, Kevin Collins, Prachi Gupta, Christine M. Isborn:
Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham System. CoRR abs/2112.07067 (2021) - 2020
- [c13]Harish S. Bhat, Majerle Reeves, Ramin Raziperchikolaei:
Estimating Vector Fields from Noisy Time Series. ACSSC 2020: 599-606 - [i6]Harish S. Bhat, Karnamohit Ranka, Christine M. Isborn:
Machine Learning a Molecular Hamiltonian for Predicting Electron Dynamics. CoRR abs/2007.09814 (2020) - [i5]Ryeongkyung Yoon, Harish S. Bhat, Braxton Osting:
A non-autonomous equation discovery method for time signal classification. CoRR abs/2011.11096 (2020) - [i4]Harish S. Bhat, Majerle Reeves, Ramin Raziperchikolaei:
Estimating Vector Fields from Noisy Time Series. CoRR abs/2012.03199 (2020)
2010 – 2019
- 2019
- [c12]Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez:
Driving Markov Chains to Desired Equilibria via Linear Programming. ACSSC 2019: 741-748 - [c11]Ramin Raziperchikolaei, Harish S. Bhat:
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation. ICML 2019: 5380-5388 - [c10]Harish S. Bhat, Shagun Rawat:
Learning Stochastic Dynamical Systems via Bridge Sampling. AALTD@PKDD/ECML 2019: 183-198 - [c9]Harish S. Bhat:
Learning and Interpreting Potentials for Classical Hamiltonian Systems. PKDD/ECML Workshops (1) 2019: 217-228 - [i3]Harish S. Bhat:
Learning and Interpreting Potentials for Classical Hamiltonian Systems. CoRR abs/1907.11806 (2019) - 2018
- [j8]Rick Dale, Harish S. Bhat:
Equations of mind: Data science for inferring nonlinear dynamics of socio-cognitive systems. Cogn. Syst. Res. 52: 275-290 (2018) - [i2]Ramin Raziperchikolaei, Harish S. Bhat:
A Direct Method to Learn States and Parameters of Ordinary Differential Equations. CoRR abs/1810.06759 (2018) - 2017
- [j7]Till Bergmann, Rick Dale, Negin Sattari, Evan Heit, Harish S. Bhat:
The Interdisciplinarity of Collaborations in Cognitive Science. Cogn. Sci. 41(5): 1412-1418 (2017) - [i1]Harish S. Bhat, Sidra J. Goldman-Mellor:
Predicting Adolescent Suicide Attempts with Neural Networks. CoRR abs/1711.10057 (2017) - 2016
- [c8]Harish S. Bhat, R. W. M. A. Madushani:
Nonparametric Adjoint-Based Inference for Stochastic Differential Equations. DSAA 2016: 798-807 - [c7]Harish S. Bhat, R. W. M. A. Madushani, Shagun Rawat:
Scalable SDE Filtering and Inference with Apache Spark. BigMine 2016: 18-34 - 2015
- [c6]Harish S. Bhat, Nitesh Kumar, Garnet Jason Vaz:
Towards scalable quantile regression trees. IEEE BigData 2015: 53-60 - [c5]Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez, Rick Dale, Evan Heit:
Citation Prediction Using Diverse Features. ICDM Workshops 2015: 589-596 - [c4]Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez:
Learning Stochastic Models for Basketball Substitutions from Play-by-Play Data. MLSA@PKDD/ECML 2015: 55-64 - 2013
- [c3]Harish S. Bhat, Garnet Jason Vaz, Juan C. Meza:
Fast solution of load shedding problems via a sequence of linear programs. IEEE BigData 2013: 1-6 - 2012
- [j6]Harish S. Bhat, Nitesh Kumar:
Option pricing under a normal mixture distribution derived from the Markov tree model. Eur. J. Oper. Res. 223(3): 762-774 (2012) - 2011
- [j5]Harish S. Bhat, Braxton Osting:
2-D Inductor-Capacitor Lattice Synthesis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 30(10): 1483-1492 (2011) - [c2]Harish S. Bhat, Daniel Zaelit:
Predicting Private Company Exits Using Qualitative Data. PAKDD (1) 2011: 399-410
2000 – 2009
- 2009
- [j4]Harish S. Bhat, Braxton Osting:
Diffraction on the Two-Dimensional Square Lattice. SIAM J. Appl. Math. 70(5): 1389-1406 (2009) - 2008
- [j3]Ehsan Afshari, Harish S. Bhat, Ali Hajimiri:
Ultrafast Analog Fourier Transform Using 2-D LC Lattice. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(8): 2332-2343 (2008) - 2006
- [j2]Harish S. Bhat, Razvan C. Fetecau:
A Hamiltonian Regularization of the Burgers Equation. J. Nonlinear Sci. 16(6): 615-638 (2006) - [c1]Ehsan Afshari, Harish S. Bhat, Xiaofeng Li, Ali Hajimiri:
Electrical funnel: A broadband signal combining method. ISSCC 2006: 751-760 - 2005
- [j1]Harish S. Bhat, Razvan C. Fetecau, Jerrold E. Marsden, Kamran Mohseni, Matthew West:
Lagrangian Averaging for Compressible Fluids. Multiscale Model. Simul. 3(4): 818-837 (2005)
Coauthor Index
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