Deep Shankar Pandey

According to our database, Deep Shankar Pandey authored at least 10 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation.

Deep Shankar Pandey, Hyomin Choi, Qi Yu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

2025

Generalized Regularized Evidential Deep Learning Models: Theory and Comprehensive Evaluation.

Deep Shankar Pandey, Hyomin Choi, Qi Yu

CoRR, December, 2025

2024

Deep energy-pressure regression for a thermodynamically consistent EOS model.

Dayou Yu, Deep Shankar Pandey, Joshua Hinz, Deyan I. Mihaylov, Valentin V. Karasiev, Suxing Hu, Qi Yu

Mach. Learn. Sci. Technol., March, 2024

A Comparative Study of State-of-the-Art Deep Learning Models for Semantic Segmentation of Pores in Scanning Electron Microscope Images of Activated Carbon.

Bishwas Pokharel, Deep Shankar Pandey, Anjuli Sapkota, Bhimraj Yadav, Vasanta Gurung, Mandira Pradhananga Adhikari, Loknath Regmi, Nanda Bikram Adhikari

IEEE Access, 2024

Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models.

Deep Shankar Pandey, Spandan Pyakurel, Qi Yu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery.

Dingrong Wang, Deep Shankar Pandey, Krishna Prasad Neupane, Zhiwei Yu, Ervine Zheng, Zhi Zheng, Qi Yu

Proceedings of the International Conference on Machine Learning, 2023

Learn to Accumulate Evidence from All Training Samples: Theory and Practice.

Deep Shankar Pandey, Qi Yu

Proceedings of the International Conference on Machine Learning, 2023

Evidential Conditional Neural Processes.

Deep Shankar Pandey, Qi Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multidimensional Belief Quantification for Label-Efficient Meta-Learning.

Deep Shankar Pandey, Qi Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data.

Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021