Deep Mesh Projectors for Inverse Problems. - Sidharth Gupta; Konik Kothari; Maarten V. de Hoop; Ivan Dokmanic (CoRR, 2018)

Random mesh projectors for inverse problems. - Konik Kothari; Sidharth Gupta; Maarten V. de Hoop; Ivan Dokmanic (ICLR (Poster), 2019)

Magellan: A Personalized Travel Recommendation System Using Transaction Data. - Konik Kothari; Dhruv Gelda; Wei Zhang 189; Hao Yang 007 (CIKM, 2020)

Learning the Geometry of Wave-Based Imaging. - Konik Kothari; Maarten V. de Hoop; Ivan Dokmanic (NeurIPS, 2020)

Trumpets: Injective flows for inference and inverse problems. - Konik Kothari; AmirEhsan Khorashadizadeh; Maarten V. de Hoop; Ivan Dokmanic (UAI, 2021)

Automated Deep Aberration Detection from Chromosome Karyotype Images. - Zahra Shamsi; Drew Bryant; Jacob Wilson; Xiaoyu Qu; Avinava Dubey; Konik Kothari; Mostafa Dehghani 001; Mariya Chavarha; Valerii Likhosherstov; Brian Williams; Michael Frumkin; Fred Appelbaum; et al. (CoRR, 2022)

Globally Injective ReLU Networks. - Michael Puthawala; Konik Kothari; Matti Lassas; Ivan Dokmanic; Maarten V. de Hoop (J. Mach. Learn. Res., 2022)

Joint Cryo-ET Alignment and Reconstruction with Neural Deformation Fields. - Valentin Debarnot; Sidharth Gupta; Konik Kothari; Ivan Dokmanic (ICASSP, 2023)

Conditional Injective Flows for Bayesian Imaging. - AmirEhsan Khorashadizadeh; Konik Kothari; Leonardo Salsi; Ali Aghababaei Harandi; Maarten V. de Hoop; Ivan Dokmanic (IEEE Trans. Computational Imaging, 2023)

Differentiable Uncalibrated Imaging. - Sidharth Gupta; Konik Kothari; Valentin Debarnot; Ivan Dokmanic (IEEE Trans. Computational Imaging, 2024)