Prateek Bansal

Orcid: 0000-0001-6851-8461

According to our database1, Prateek Bansal authored at least 20 papers between 2011 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Scalable variational inference for multinomial probit models under large choice sets and sample sizes.
Stat. Comput., February, 2026

Relative impact of pedestrian's age and gender on ethical decisions of autonomous vehicles: insights from neuro-behavioural analysis.
AI Ethics, February, 2026

Intelligent urban on-street parking space management for autonomous vehicles.
Expert Syst. Appl., 2026

2025
Coordinated Multi-Agent Reinforcement Learning Method for Integrating Transit Signal Priority and Speed Guidance Control.
IEEE Trans. Intell. Transp. Syst., December, 2025

Physics Informed Multi-task Joint Generative Learning for Arterial Vehicle Trajectory Reconstruction Considering Lane Changing Behavior.
CoRR, November, 2025

Large Language Models Enable Personalized Nudges to Promote Carbon Offsetting Among Air Travellers.
CoRR, August, 2025

A Large Language Model for Feasible and Diverse Population Synthesis.
CoRR, May, 2025

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making.
Trans. Mach. Learn. Res., 2025

2023
Robust discrete choice models with t-distributed kernel errors.
Stat. Comput., 2023

2022
A Deep Generative Model for Feasible and Diverse Population Synthesis.
CoRR, 2022

Intelligent Boosting for Low Power-High Performance System.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Semantic Segmentation Approach for Road Defect Detection and Quantification.
Proceedings of the ICMVA 2022: The 5th International Conference on Machine Vision and Applications, Singapore, February 18, 2022

DT2I: Dense Text-to-Image Generation from Region Descriptions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
Fast Bayesian estimation of spatial count data models.
Comput. Stat. Data Anal., 2021

2020
Matlab-Vissim Interface for online optimization of Green Time splits.
CoRR, 2020

2019
Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models.
CoRR, 2019

Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations.
CoRR, 2019

2018
A Framework to Integrate Mode Choice in the Design of Mobility-on-Demand Systems.
CoRR, 2018

2017
Intrusion detection in connected cars.
Proceedings of the IEEE International Conference on Electro Information Technology, 2017

2011
A Traffic Model for Concurrent Core Tasks in Networks-on-Chip.
Proceedings of the Sixth IEEE International Symposium on Electronic Design, 2011


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