Nikola Borislavov Kovachki

Researcher, NVIDIA

Joined

February 2020

Names

Nikola Borislavov Kovachki (Preferred)

Emails

****@caltech.edu (Confirmed)

****@nvidia.com (Confirmed)

Personal Links

Homepage

Career & Education History

Researcher

NVIDIA (nvidia.com)

2022 – Present

PhD student

California Institute of Technology (caltech.edu)

2016 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Andrew Stuart

2016 – Present

Expertise

Deep Learning

2016 – Present

Publications

Lightweight Fourier Neural Operator for Time-Dependent Partial Differential Equations
Dawon Ahn, Satish Chandran, Daniel Leibovici, Nikola Borislavov Kovachki, Evangelos E. Papalexakis, Jean Kossaifi
- Machine Learning and the Physical Sciences Workshop, NeurIPS 2025
- Readers: Everyone
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems
Hongkai Zheng, Wenda Chu, Austin Wang, Nikola Borislavov Kovachki, Ricardo Baptista, Yisong Yue
- Accepted by TMLR
- Readers: Everyone
Ensemble Kalman Diffusion Guidance: A Derivative-free Method for Inverse Problems
Hongkai Zheng, Wenda Chu, Austin Wang, Nikola Borislavov Kovachki, Ricardo Baptista, Yisong Yue
- Submitted to ICLR 2025
- Readers: Everyone
InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
Hongkai Zheng, Wenda Chu, Bingliang Zhang, Zihui Wu, Austin Wang, Berthy Feng, Caifeng Zou, Yu Sun, Nikola Borislavov Kovachki, Zachary E Ross, Katherine Bouman, Yisong Yue
- ICLR 2025 Spotlight
- Readers: Everyone
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
Giannis Daras, Weili Nie, Karsten Kreis, Alex Dimakis, Morteza Mardani, Nikola Borislavov Kovachki, Arash Vahdat
- NeurIPS 2024 poster
- Readers: Everyone
Multi-Grid Tensorized Fourier Neural Operator for High- Resolution PDEs
Jean Kossaifi, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Anima Anandkumar
- Accepted by TMLR
- Readers: Everyone
Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces
Miguel Liu-Schiaffini, Clare E. Singer, Nikola Borislavov Kovachki, Tapio Schneider, Kamyar Azizzadenesheli, Anima Anandkumar
- 04 Sept 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Geometry-Informed Neural Operator for Large-Scale 3D PDEs
Zongyi Li, Nikola Borislavov Kovachki, Chris Choy, Boyi Li, Jean Kossaifi, Shourya Prakash Otta, Mohammad Amin Nabian, Maximilian Stadler, Christian Hundt, Kamyar Azizzadenesheli, Anima Anandkumar
- NeurIPS 2023 poster
- Readers: Everyone
Multi-Grid Tensorized Fourier Neural Operator for High Resolution PDEs
Jean Kossaifi, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Anima Anandkumar
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Learning Chaotic Dynamics in Dissipative Systems
Zongyi Li, Miguel Liu-Schiaffini, Nikola Borislavov Kovachki, Kamyar Azizzadenesheli, Burigede Liu, Kaushik Bhattacharya, Andrew Stuart, Anima Anandkumar
- Published: 31 Oct 2022, Last Modified: 12 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone

View all 12 publications

Co-Authors

View all 41 co-authors