Konik graduated with a Ph.D. from UIUC in Fall 2022. He now works at Google, Mountain View, California.
I was a Ph.D. student under Prof. Ivan Dokmanic in the Electrical and Computer Engineering department at the University of Illinois at Urbana-Champaign. I was exploring physics-based learning paradigms for scientific inverse problems and I have recently been interested in some fundamental aspects of generative modeling and their applications to inverse problems.
Before starting my PhD, I earned my Master's in Mechanical Engineering working on computational modeling for crosslinked polymeric materials and studying shear stress in granular materials under Prof. Yuhang Hu and Prof. Ahmed Elbanna. I did my undergrad from IIT Delhi studying mechanical engineering.
I love Indian chai, like racquet sports and pretend to like running and hitting the gym.
Research interests
Wave imaging problems, inverse problems, generative modeling
Publications
2022
@article{puthawala2020globally,
author = {Michael Puthawala and Konik Kothari and Matti Lassas and Ivan Dokmani{\'c} and Maarten de Hoop},
title = {Globally Injective ReLU Networks},
journal = {Journal of Machine Learning Research},
year = {2022},
volume = {23},
number = {105},
pages = {1--55},
url = {http://jmlr.org/papers/v23/21-0282.html}
}
2021
@inproceedings{kothari2021trumpets,
title={Trumpets: Injective flows for inference and inverse problems},
projectpage = {http://sada.dmi.unibas.ch/en/research/injective-flows},
author={Kothari, Konik and Khorashadizadeh, AmirEhsan and de Hoop, Maarten and Dokmani{\'c}, Ivan},
booktitle={Uncertainty in Artificial Intelligence},
pages={1269--1278},
year={2021},
organization={PMLR},
url={https://proceedings.mlr.press/v161/kothari21a.html}}
2020
@inproceedings{kothari2020fionet,
author = {Kothari, Konik and de Hoop, Maarten and Dokmani{\'c}, Ivan},
booktitle = {Advances in Neural Information Processing Systems},
title = {Learning the Geometry of Wave-Based Imaging},
projectpage = {http://sada.dmi.unibas.ch/en/research/imaging-with-waves},
url = {https://proceedings.neurips.cc/paper/2020/file/5e98d23afe19a774d1b2dcbefd5103eb-Paper.pdf},
volume = {33},
year = {2020}
}
2019
@inproceedings{kothari2018random,
title={Random mesh projectors for inverse problems},
author={Konik Kothari* and Sidharth Gupta* and Maarten v. de Hoop and Ivan Dokmani{\'c}},
booktitle={International Conference on Learning Representations},
year={2019},
url={https://openreview.net/forum?id=HyGcghRct7},
}