Bistra Dilkina

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 120

Top Venues

Publications

Weizhe Chen, Sven Koenig, Bistra Dilkina
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents. CoRR (2024)
Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao
Fragile Earth: Generative and Foundational Models for Sustainable Development. KDD (2024)
Weizhe Chen, Sven Koenig, Bistra Dilkina
Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet. CoRR (2024)
Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. AAAI (2024)
Weizhe Chen, Sven Koenig, Bistra Dilkina
MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search. CoRR (2024)
Junyang Cai, Taoan Huang, Bistra Dilkina
Learning Backdoors for Mixed Integer Programs with Contrastive Learning. CoRR (2024)
David Rolnick, Alán Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White
Application-Driven Innovation in Machine Learning. CoRR (2024)
Weimin Huang, Taoan Huang, Aaron M. Ferber, Bistra Dilkina
Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods. CoRR (2024)
Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CP (2024)
Weizhe Chen, Zhihan Wang, Jiaoyang Li, Sven Koenig, Bistra Dilkina
No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding. CoRR (2024)
Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. ICML (2023)
Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina
Moccasin: Efficient Tensor Rematerialization for Neural Networks. ICML (2023)
David V. Pynadath, Bistra Dilkina, David C. Jeong, Richard S. John, Stacy C. Marsella, Chirag Merchant, Lynn C. Miller, Stephen J. Read
Disaster world. Comput. Math. Organ. Theory 29 (1) (2023)
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. CoRR (2023)
John P. Dickerson, Bistra Dilkina, Yu Ding, Swati Gupta, Pascal Van Hentenryck, Sven Koenig, Ramayya Krishnan, Radhika Kulkarni, Catherine Gill, Haley Griffin, Maddy Hunter, Ann Schwartz
Artificial Intelligence/Operations Research Workshop 2 Report Out. CoRR (2023)
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
Local Branching Relaxation Heuristics for Integer Linear Programs. CPAIOR (2023)
Aaron M. Ferber, Emily Griffin, Bistra Dilkina, Burcu B. Keskin, Meredith Gore
Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths. CPAIOR (2023)
Thomy Phan, Taoan Huang, Bistra Dilkina, Sven Koenig
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. CoRR (2023)
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. ICML (2023)
Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information. NeurIPS (2023)
Taoan Huang, Vikas Shivashankar, Michael Caldara, Joseph W. Durham, Jiaoyang Li, Bistra Dilkina, Sven Koenig
Deadline-Aware Multi-Agent Tour Planning. ICAPS (2023)
Arman Zharmagambetov, Brandon Amos, Aaron M. Ferber, Taoan Huang, Bistra Dilkina, Yuandong Tian
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information. CoRR (2023)
Prasenjit Mitra, Shreya Ghosh, Bistra Dilkina, Thomas Müller
Info-Wild: Knowledge Extraction and Management for Wildlife Conservation. CIKM (2023)
Augustin Parjadis, Quentin Cappart, Bistra Dilkina, Aaron M. Ferber, Louis-Martin Rousseau
Learning Lagrangian Multipliers for the Travelling Salesman Problem. CoRR (2023)
Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina
Moccasin: Efficient Tensor Rematerialization for Neural Networks. CoRR (2023)
Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. KDD (2023)
Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian
GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature. CoRR (2023)
Weizhe Chen, Eshwar Prasad Sivaramakrishnan, Bistra Dilkina
Landscape Optimization for Prescribed Burns in Wildfire Mitigation Planning. COMPASS (2022)
Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems. CoRR (2022)
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
Learning Pseudo-Backdoors for Mixed Integer Programs. CPAIOR (2022)
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu
Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. KDD (2022)
Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. AAAI (2022)
Yu Yang, Natashia Boland, Bistra Dilkina, Martin W. P. Savelsbergh
Learning generalized strong branching for set covering, set packing, and 0-1 knapsack problems. Eur. J. Oper. Res. 301 (3) (2022)
Shuyang Zhang, Jiaoyang Li, Taoan Huang, Sven Koenig, Bistra Dilkina
Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding. SOCS (2022)
Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner
Local Branching Relaxation Heuristics for Integer Linear Programs. CoRR (2022)
Taoan Huang, Jiaoyang Li, Sven Koenig, Bistra Dilkina
Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search. AAAI (2022)
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
Becoming Good at AI for Good. CoRR (2021)
Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. CoRR (2021)
Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan
Fragile Earth: Accelerating Progress towards Equitable Sustainability. KDD (2021)
Taoan Huang, Sven Koenig, Bistra Dilkina
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. AAAI (2021)
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
Learning Pseudo-Backdoors for Mixed Integer Programs. SOCS (2021)
Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina
Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. CoRR (2021)
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres
Becoming Good at AI for Good. AIES (2021)
Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue
Learning Pseudo-Backdoors for Mixed Integer Programs. CoRR (2021)
Taoan Huang, Bistra Dilkina, Sven Koenig
Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding. AAMAS (2021)
Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling. CoRR (2021)
Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. AAAI (2021)
Taoan Huang, Bistra Dilkina
Enhancing Seismic Resilience of Water Pipe Networks. COMPASS (2020)
Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina
A General Large Neighborhood Search Framework for Solving Integer Programs. CoRR (2020)
Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. AAAI (2020)
Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
Video Game Level Repair via Mixed Integer Linear Programming. AIIDE (2020)
Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. WACV (2020)
Pramith Devulapalli, Bistra Dilkina, Yexiang Xue
Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation. IJCAI (2020)
Lily Xu, Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsabuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version). ICDE (2020)
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
End-to-End Game-Focused Learning of Adversary Behavior in Security Games. AAAI (2020)
Caleb Robinson, Kolya Malkin, Lucas Hu, Bistra Dilkina, Nebojsa Jojic
Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest. IGARSS (2020)
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
Human-Machine Collaboration for Fast Land Cover Mapping. AAAI (2020)
Hejia Zhang, Matthew C. Fontaine, Amy K. Hoover, Julian Togelius, Bistra Dilkina, Stefanos Nikolaidis
Video Game Level Repair via Mixed Integer Linear Programming. CoRR (2020)
Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
MIPaaL: Mixed Integer Program as a Layer. AAAI (2020)
Taoan Huang, Bistra Dilkina, Sven Koenig
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. CoRR (2020)
Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina
A General Large Neighborhood Search Framework for Solving Integer Linear Programs. NeurIPS (2020)
Lucas Hu, Caleb Robinson, Bistra Dilkina
Model Generalization in Deep Learning Applications for Land Cover Mapping. CoRR (2020)
Elias B. Khalil, Amrita Gupta, Bistra Dilkina
Combinatorial Attacks on Binarized Neural Networks. ICLR (Poster) (2019)
Aaron M. Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe
MIPaaL: Mixed Integer Program as a Layer. CoRR (2019)
Caleb Robinson, Le Hou, Kolya Malkin, Rachel Soobitsky, Jacob Czawlytko, Bistra Dilkina, Nebojsa Jojic
Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data. CVPR (2019)
Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
Using Game Theory in Real Time in the Real World: A Conservation Case Study. AAMAS (2019)
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data. CoRR (2019)
Bryan Wilder, Bistra Dilkina, Milind Tambe
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. AAAI (2019)
Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62 (9) (2019)
Caleb Robinson, Anthony Ortiz, Kolya Malkin, Blake Elias, Andi Peng, Dan Morris, Bistra Dilkina, Nebojsa Jojic
Human-Machine Collaboration for Fast Land Cover Mapping. CoRR (2019)
Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe
Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. AAMAS (2019)
Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe
Decision-Focused Learning of Adversary Behavior in Security Games. CoRR (2019)
Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe
End to end learning and optimization on graphs. NeurIPS (2019)
Payam Siyari, Bistra Dilkina, Constantine Dovrolis
Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences. CoRR (2019)
Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe
Improving GP-UCB Algorithm by Harnessing Decomposed Feedback. PKDD/ECML Workshops (1) (2019)
Amrita Gupta, Bistra Dilkina
Budget-Constrained Demand-Weighted Network Design for Resilient Infrastructure. ICTAI (2019)
Caleb Robinson, Bistra Dilkina, Juan Moreno-Cruz
Migration patterns under different scenarios of sea level rise. CoRR (2019)
Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe
End to end learning and optimization on graphs. CoRR (2019)
Payam Siyari, Bistra Dilkina, Constantine Dovrolis
Evolution of Hierarchical Structure and Reuse in iGEM Synthetic DNA Sequences. ICCS (1) (2019)
Shahrzad Gholami, Lily Xu, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubaga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations. CoRR (2019)
Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. KDD (2019)
Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe
Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. AAMAS (2019)
Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga, Tom Okello, Eric Enyel
Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers. AAMAS (2018)
Ilias Fountalis, Constantine Dovrolis, Annalisa Bracco, Bistra Dilkina, Shella D. Keilholz
δ-MAPS: from spatio-temporal data to a weighted and lagged network between functional domains. Appl. Netw. Sci. 3 (1) (2018)
Caleb Robinson, Bistra Dilkina
A Machine Learning Approach to Modeling Human Migration. COMPASS (2018)
Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. IJCAI (2018)
Elias B. Khalil, Amrita Gupta, Bistra Dilkina
Combinatorial Attacks on Binarized Neural Networks. CoRR (2018)
Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe
AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS (2018)
Amrita Gupta, Caleb Robinson, Bistra Dilkina
Infrastructure Resilience for Climate Adaptation. COMPASS (2018)
Payam Siyari, Bistra Dilkina, Constantine Dovrolis
Emergence and Evolution of Hierarchical Structure in Complex Systems. CoRR (2018)
Bryan Wilder, Bistra Dilkina, Milind Tambe
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. CoRR (2018)
Han-Ching Ou, Milind Tambe, Bistra Dilkina, Phebe Vayanos
Imbalanced Collusive Security Games. GameSec (2018)
Ardavan Afshar, Joyce C. Ho, Bistra Dilkina, Ioakeim Perros, Elias B. Khalil, Li Xiong, Vaidy S. Sunderam
CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data. SIGSPATIAL/GIS (2017)
Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). ICDE (2017)
Yexiang Xue, XiaoJian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Andrew Royle, Carla P. Gomes
Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information. AAAI (2017)
Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao
Learning to Run Heuristics in Tree Search. IJCAI (2017)
Ilias Fountalis, Constantine Dovrolis, Bistra Dilkina, Shella D. Keilholz
\delta -MAPS: From fMRI Data to Functional Brain Networks. COMPLEX NETWORKS (2017)
Hanjun Dai, Elias B. Khalil, Yuyu Zhang, Bistra Dilkina, Le Song
Learning Combinatorial Optimization Algorithms over Graphs. CoRR (2017)
Elias B. Khalil, Hanjun Dai, Yuyu Zhang, Bistra Dilkina, Le Song
Learning Combinatorial Optimization Algorithms over Graphs. NIPS (2017)
Caleb Robinson, Fred Hohman, Bistra Dilkina
A Deep Learning Approach for Population Estimation from Satellite Imagery. GeoHumanities@SIGSPATIAL (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bistra Dilkina