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ORCIDKshitij Tayal
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2020 – today
- 2023
[c8]Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM 2023: 588-597- [i3]Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR abs/2309.10291 (2023) - 2022
- [c7]Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia:
Meta-Transfer Learning: An application to Streamflow modeling in River-streams. ICDM 2022: 161-170 - [c6]Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber
, Vipin Kumar:
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD 2022: 465-474 - [c5]Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar:
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. SDM 2022: 702-710 - 2021
- [j3]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, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu:
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 11(2): 11:1-11:49 (2021) - [i2]Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun:
Phase Retrieval using Single-Instance Deep Generative Prior. CoRR abs/2106.04812 (2021) - 2020
- [c4]Kshitij Tayal, Rahul Ghosh, Vipin Kumar:
Model-agnostic Methods for Text Classification with Inherent Noise. COLING (Industry) 2020: 202-213 - [c3]Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar:
Regularized Graph Convolutional Networks for Short Text Classification. COLING (Industry) 2020: 236-242 - [i1]Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun:
Inverse Problems, Deep Learning, and Symmetry Breaking. CoRR abs/2003.09077 (2020)
2010 – 2019
- 2019
- [j2]Vaddadi Naga Sai Kavya, Kshitij Tayal, Rajgopal Srinivasan, Naveen Sivadasan:
Sequence Alignment on Directed Graphs. J. Comput. Biol. 26(1): 53-67 (2019) - [c2]Daniel Garijo, Deborah Khider, Varun Ratnakar, Yolanda Gil, Ewa Deelman, Rafael Ferreira da Silva, Craig A. Knoblock, Yao-Yi Chiang, Minh Pham, Jay Pujara, Binh Vu, Dan Feldman, Rajiv Mayani, Kelly M. Cobourn, Christopher J. Duffy, Armen R. Kemanian, Lele Shu, Vipin Kumar, Ankush Khandelwal, Kshitij Tayal, Scott D. Peckham, Maria Stoica, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne A. Pierce:
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion 2019: 111-112 - 2017
- [j1]Neeti Pokhriyal, Kshitij Tayal, Ifeoma Nwogu, Venu Govindaraju:
Cognitive-Biometric Recognition From Language Usage: A Feasibility Study. IEEE Trans. Inf. Forensics Secur. 12(1): 134-143 (2017) - 2016
- [c1]Kshitij Tayal, Vadlamani Ravi:
Particle Swarm Optimization Trained Class Association Rule Mining: Application to Phishing Detection. ICIA 2016: 13:1-13:8
Coauthor Index
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