Alina Vereshchaka

22 papers A* 2B 1C 3Misc 2Journal 7Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment. CoRR Punit Kumar, Vaibhav Saran, Divyesh Patel, Nitin Kulkarni, Alina Vereshchaka
2026	J	`jnl`	Drive-Through 3D Vehicle Exterior Reconstruction via Dynamic-Scene SfM and Distortion-Aware Gaussian Splatting. CoRR Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss, Livio Forte, Philip Schneider, Chunming Qiao, Alina Vereshchaka
2026	J	`jnl`	Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting. CoRR Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss, Livio Forte, Dan Buckmaster, Philip Schneider, Chunming Qiao, Alina Vereshchaka
2026	J	`jnl`	Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression. CoRR Shaurya Mathur, Shreyas Bellary Manjunath, Nitin Kulkarni, Alina Vereshchaka
2025	C	`conf`	Attention-Based Offline Reinforcement Learning and Clustering for Interpretable Sepsis Treatment. ICMLA Punit Kumar, Vaibhav Saran, Divyesh Patel, Nitin Kulkarni, Alina Vereshchaka
2025	B	`conf`	Multimodal LLM using Federated Visual Instruction Tuning for Visually Impaired. ICMI Ankith Bala, Alina Vereshchaka
2025	C	`conf`	Rig-Aware 3D Reconstruction of Vehicle Undercarriages using Gaussian Splatting. ICMLA Nitin Kulkarni, Akhil Devarashetti, Charlie Cluss, Livio Forte, Dan Buckmaster, Philip Schneider, Chunming Qiao, Alina Vereshchaka
2025	—	`conf`	Self-Supervised MRI Representation Learning for Cross-Domain Brain Diseases Classification. CogMI Rishab Darshan Shylendra, Pavithran Gnanasekaran, Piyush Gulhane, Alina Vereshchaka
2025	C	`conf`	Spatiotemporal Wildfire Prediction and Reinforcement Learning for Helitack Suppression. ICMLA Shaurya Mathur, Shreyas Bellary Manjunath, Nitin Kulkarni, Alina Vereshchaka
2024	—	`conf`	SAARTHI: Smart Auto Assessment and Roadside Technical Help Interface. SBP-BRiMS Chirayu Sanghvi, Alina Vereshchaka
2023	—	`conf`	Dynamic Modeling and Forecasting of Epidemics Incorporating Age and Vaccination Status. SBP-BRiMS Nitin Kulkarni, Chunming Qiao, Alina Vereshchaka
2022	J	`jnl`	Optimizing City-Scale Traffic Through Modeling Observations of Vehicle Movements. IEEE Trans. Intell. Transp. Syst. Fan Yang, Alina Vereshchaka, Bruno Lepri, Wen Dong
2022	—	`conf`	Optimizing Pharmaceutical and Non-pharmaceutical Interventions During Epidemics. SBP-BRiMS Nitin Kulkarni, Chunming Qiao, Alina Vereshchaka
2021	—	`conf`	Optimization of Mitigation Strategies During Epidemics Using Offline Reinforcement Learning. SBP-BRiMS Alina Vereshchaka, Nitin Kulkarni
2020	J	`jnl`	Analyzing and distinguishing fake and real news to mitigate the problem of disinformation. Comput. Math. Organ. Theory Alina Vereshchaka, Seth Cosimini, Wen Dong
2020	A*	`conf`	Bayesian Multi-type Mean Field Multi-agent Imitation Learning. NeurIPS Fan Yang, Alina Vereshchaka, Changyou Chen, Wen Dong
2020	A*	`conf`	Variational Adversarial Kernel Learned Imitation Learning. AAAI Fan Yang, Alina Vereshchaka, Yufan Zhou, Changyou Chen, Wen Dong
2019	—	`conf`	Dynamic Resource Allocation During Natural Disasters Using Multi-agent Environment. SBP-BRiMS Alina Vereshchaka, Wen Dong
2019	Misc	`conf`	Optimizing Complex Interaction Dynamics in Critical Infrastructure with a Stochastic Kinetic Model. WSC Fan Yang, Alina Vereshchaka, Wen Dong
2019	J	`jnl`	Optimizing city-scale traffic flows through modeling isolated observations of vehicle movements. CoRR Fan Yang, Alina Vereshchaka, Bruno Lepri, Wen Dong
2019	Misc	`conf`	Reducing Risks During Natural Disasters With Optimal Resource Allocation By Multi-Agent Optimization. WSC Alina Vereshchaka, Nathan Margaglio, Wen Dong
2018	—	`conf`	Predicting and Optimizing City-Scale Road Traffic Dynamics Using Trajectories of Individual Vehicles. IEEE BigData Fan Yang, Alina Vereshchaka, Wen Dong