Harish S. Bhat

According to our database, Harish S. Bhat authored at least 33 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Linear Time-Delay Scheme to Propagate Reduced Electron Density Matrices.

Harish S. Bhat, Hardeep Bassi, Karnamohit Ranka, Christine M. Isborn

CoRR, 2024

2022

A Nonautonomous Equation Discovery Method for Time Signal Classification.

Ryeongkyung Yoon, Harish S. Bhat, Braxton Osting

SIAM J. Appl. Dyn. Syst., 2022

Neural Continuous-Time Markov Models.

Majerle Reeves, Harish S. Bhat

CoRR, 2022

Drift Identification for Lévy alpha-Stable Stochastic Systems.

Harish S. Bhat

CoRR, 2022

Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham System.

Harish S. Bhat, Kevin Collins, Prachi Gupta, Christine M. Isborn

Proceedings of the Learning for Dynamics and Control Conference, 2022

2021

Equity-Directed Bootstrapping: Examples and Analysis.

Harish S. Bhat, Majerle Reeves, Sidra J. Goldman-Mellor

CoRR, 2021

Statistical learning method for predicting density-matrix based electron dynamics.

Prachi Gupta, Harish S. Bhat, Karnamohit Ranka, Christine M. Isborn

CoRR, 2021

System Identification via the Adjoint Method.

Harish S. Bhat

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

A non-autonomous equation discovery method for time signal classification.

Ryeongkyung Yoon, Harish S. Bhat, Braxton Osting

CoRR, 2020

Machine Learning a Molecular Hamiltonian for Predicting Electron Dynamics.

Harish S. Bhat, Karnamohit Ranka, Christine M. Isborn

CoRR, 2020

Estimating Vector Fields from Noisy Time Series.

Harish S. Bhat, Majerle Reeves, Ramin Raziperchikolaei

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Learning Stochastic Dynamical Systems via Bridge Sampling.

Harish S. Bhat, Shagun Rawat

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019

Learning and Interpreting Potentials for Classical Hamiltonian Systems.

Harish S. Bhat

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation.

Ramin Raziperchikolaei, Harish S. Bhat

Proceedings of the 36th International Conference on Machine Learning, 2019

Driving Markov Chains to Desired Equilibria via Linear Programming.

Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

A Direct Method to Learn States and Parameters of Ordinary Differential Equations.

Ramin Raziperchikolaei, Harish S. Bhat

CoRR, 2018

Equations of mind: Data science for inferring nonlinear dynamics of socio-cognitive systems.

Rick Dale, Harish S. Bhat

Cogn. Syst. Res., 2018

2017

Predicting Adolescent Suicide Attempts with Neural Networks.

Harish S. Bhat, Sidra J. Goldman-Mellor

CoRR, 2017

The Interdisciplinarity of Collaborations in <i>Cognitive Science</i>.

Till Bergmann, Rick Dale, Negin Sattari, Evan Heit, Harish S. Bhat

Cogn. Sci., 2017

2016

Scalable SDE Filtering and Inference with Apache Spark.

Harish S. Bhat, R. W. M. A. Madushani, Shagun Rawat

Proceedings of the 5th International Workshop on Big Data, 2016

Nonparametric Adjoint-Based Inference for Stochastic Differential Equations.

Harish S. Bhat, R. W. M. A. Madushani

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

Learning Stochastic Models for Basketball Substitutions from Play-by-Play Data.

Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez

Proceedings of the 2nd Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2015 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2015), 2015

Citation Prediction Using Diverse Features.

Harish S. Bhat, Li-Hsuan Huang, Sebastian Rodriguez, Rick Dale, Evan Heit

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Towards scalable quantile regression trees.

Harish S. Bhat, Nitesh Kumar, Garnet Jason Vaz

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013

Fast solution of load shedding problems via a sequence of linear programs.

Harish S. Bhat, Garnet Jason Vaz, Juan C. Meza

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Option pricing under a normal mixture distribution derived from the Markov tree model.

Harish S. Bhat, Nitesh Kumar

Eur. J. Oper. Res., 2012

2011

2-D Inductor-Capacitor Lattice Synthesis.

Harish S. Bhat, Braxton Osting

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2011

Predicting Private Company Exits Using Qualitative Data.

Harish S. Bhat, Daniel Zaelit

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2009

Diffraction on the Two-Dimensional Square Lattice.

Harish S. Bhat, Braxton Osting

SIAM J. Appl. Math., 2009

2008

Ultrafast Analog Fourier Transform Using 2-D <i>LC</i> Lattice.

Ehsan Afshari, Harish S. Bhat, Ali Hajimiri

IEEE Trans. Circuits Syst. I Regul. Pap., 2008

2006

A Hamiltonian Regularization of the Burgers Equation.

Harish S. Bhat, Razvan C. Fetecau

J. Nonlinear Sci., 2006

Electrical funnel: A broadband signal combining method.

Ehsan Afshari, Harish S. Bhat, Xiaofeng Li, Ali Hajimiri

Proceedings of the 2006 IEEE International Solid State Circuits Conference, 2006

2005

Lagrangian Averaging for Compressible Fluids.

Harish S. Bhat, Razvan C. Fetecau, Jerrold E. Marsden, Kamran Mohseni, Matthew West

Multiscale Model. Simul., 2005