Alina Vereshchaka

According to our database, Alina Vereshchaka authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Drive-Through 3D Vehicle Exterior Reconstruction via Dynamic-Scene SfM and Distortion-Aware Gaussian Splatting.

Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss, Livio Forte, Philip Schneider, Chunming Qiao, Alina Vereshchaka

CoRR, March, 2026

2025

Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression.

Shaurya Mathur, Shreyas Bellary Manjunath, Nitin Kulkarni, Alina Vereshchaka

Proceedings of the International Conference on Machine Learning and Applications, 2025

Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment.

Punit Kumar, Vaibhav Saran, Divyesh Patel, Nitin Kulkarni, Alina Vereshchaka

Proceedings of the International Conference on Machine Learning and Applications, 2025

Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting.

Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss, Livio Forte, Dan Buckmaster, Philip Schneider, Chunming Qiao, Alina Vereshchaka

Proceedings of the International Conference on Machine Learning and Applications, 2025

Multimodal LLM using Federated Visual Instruction Tuning for Visually Impaired.

Ankith Bala, Alina Vereshchaka

Proceedings of the 27th International Conference on Multimodal Interaction, 2025

Self-Supervised MRI Representation Learning for Cross-Domain Brain Diseases Classification.

Rishab Darshan Shylendra, Pavithran Gnanasekaran, Piyush Gulhane, Alina Vereshchaka

Proceedings of the 7th IEEE International Conference on Cognitive Machine Intelligence, 2025

2024

SAARTHI: Smart Auto Assessment and Roadside Technical Help Interface.

Chirayu Sanghvi, Alina Vereshchaka

Proceedings of the Social, Cultural, and Behavioral Modeling, 2024

2023

Dynamic Modeling and Forecasting of Epidemics Incorporating Age and Vaccination Status.

Nitin Kulkarni, Chunming Qiao, Alina Vereshchaka

Proceedings of the Social, Cultural, and Behavioral Modeling, 2023

2022

Optimizing City-Scale Traffic Through Modeling Observations of Vehicle Movements.

Fan Yang, Alina Vereshchaka, Bruno Lepri, Wen Dong

IEEE Trans. Intell. Transp. Syst., 2022

Optimizing Pharmaceutical and Non-pharmaceutical Interventions During Epidemics.

Nitin Kulkarni, Chunming Qiao, Alina Vereshchaka

Proceedings of the Social, Cultural, and Behavioral Modeling, 2022

2021

Optimization of Mitigation Strategies During Epidemics Using Offline Reinforcement Learning.

Alina Vereshchaka, Nitin Kulkarni

Proceedings of the Social, Cultural, and Behavioral Modeling, 2021

2020

Analyzing and distinguishing fake and real news to mitigate the problem of disinformation.

Alina Vereshchaka, Seth Cosimini, Wen Dong

Comput. Math. Organ. Theory, 2020

Bayesian Multi-type Mean Field Multi-agent Imitation Learning.

Fan Yang, Alina Vereshchaka, Changyou Chen, Wen Dong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Variational Adversarial Kernel Learned Imitation Learning.

Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Optimizing city-scale traffic flows through modeling isolated observations of vehicle movements.

Fan Yang, Alina Vereshchaka, Bruno Lepri, Wen Dong

CoRR, 2019

Optimizing Complex Interaction Dynamics in Critical Infrastructure with a Stochastic Kinetic Model.

Fan Yang, Alina Vereshchaka, Wen Dong

Proceedings of the 2019 Winter Simulation Conference, 2019

Reducing Risks During Natural Disasters With Optimal Resource Allocation By Multi-Agent Optimization.

Alina Vereshchaka, Nathan Margaglio, Wen Dong

Proceedings of the 2019 Winter Simulation Conference, 2019

Dynamic Resource Allocation During Natural Disasters Using Multi-agent Environment.

Alina Vereshchaka, Wen Dong

Proceedings of the Social, Cultural, and Behavioral Modeling, 2019

2018

Predicting and Optimizing City-Scale Road Traffic Dynamics Using Trajectories of Individual Vehicles.

Fan Yang, Alina Vereshchaka, Wen Dong

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018