Kshitij Tayal

PhD student, University of Minnesota, Minneapolis

Joined

September 2020

Names

Kshitij Tayal (Preferred)

Emails

****@umn.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

University of Minnesota, Minneapolis (umn.edu)

2017 – Present

Advisors, Relations & Conflicts

PhD Advisor

Vipin Kumar

2017 – Present

Expertise

SpatioTemporal Data Mining

Present

Time Series Analysis

Present

Inverse Problems

Present

Publications

Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology
Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar
- 2022 (modified: 25 Jan 2023)
- KDD 2022
- Readers: Everyone
Meta-Transfer Learning: An application to Streamflow modeling in River-streams
Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia
- 2022 (modified: 05 Feb 2023)
- ICDM 2022
- Readers: Everyone
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling
Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar
- 2022 (modified: 05 Feb 2023)
- SDM 2022
- Readers: Everyone
Unlocking inverse problems using deep learning: Breaking symmetries in phase retrieval
Kshitij Tayal, Chieh-Hsin Lai, Raunak Manekar, Zhong Zhuang, Vipin Kumar, Ju Sun
- 15 Sept 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Deep Learning Initialized Phase Retrieval
Raunak Manekar, Zhong Zhuang, Kshitij Tayal, Vipin Kumar, Ju Sun
- 15 Sept 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Phase Retrieval using Single-Instance Deep Generative Prior
Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun
- 2021 (modified: 15 Sept 2021)
- CoRR 2021
- Readers: Everyone
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making
Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu et al. (15 additional authors not shown)
- 2021 (modified: 05 Feb 2023)
- ACM Trans. Interact. Intell. Syst. 2021
- Readers: Everyone
Deep Learning Initialized Phase Retrieval
Raunak Manekar, Zhong Zhuang, Kshitij Tayal, Vipin Kumar, Ju Sun
- Published: 06 Jul 2022, Last Modified: 05 May 2023
- NeurIPS 2020 Deep Inverse Workshop Poster
- Readers: Everyone
Unlocking Inverse Problems Using Deep Learning: Breaking Symmetries in Phase Retrieval
Kshitij Tayal, Chieh-Hsin Lai, Raunak Manekar, Zhong Zhuang, Vipin Kumar, Ju Sun
- Published: 06 Jul 2022, Last Modified: 05 May 2023
- NeurIPS 2020 Deep Inverse Workshop Poster
- Readers: Everyone
Inverse Problems, Deep Learning, and Symmetry Breaking
Kshitij Tayal, Chieh-Hsin Lai, Raunak Manekar, Zhong Zhuang, Vipin Kumar, Ju Sun
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Withdrawn Submission
- Readers: Everyone

View all 17 publications

Co-Authors

View all 60 co-authors