Bistra Dilkina

Orcid: 0000-0002-6784-473X

Affiliations:
  • University of Southern California, Los Angeles, CA, USA
  • Georgia Tech, USA (former)
  • Cornell University, Ithaca, USA (former)


According to our database1, Bistra Dilkina authored at least 118 papers between 2004 and 2024.

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Bibliography

2024
RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents.
CoRR, 2024

Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods.
CoRR, 2024

No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding.
CoRR, 2024

MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search.
CoRR, 2024

Application-Driven Innovation in Machine Learning.
CoRR, 2024

Learning Backdoors for Mixed Integer Programs with Contrastive Learning.
CoRR, 2024

Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet.
CoRR, 2024

Fragile Earth: Generative and Foundational Models for Sustainable Development.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Position: Application-Driven Innovation in Machine Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Contrastive Predict-and-Search for Mixed Integer Linear Programs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

GenCO: Generating Diverse Designs with Combinatorial Constraints.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Backdoors for Mixed Integer Linear Programs with Contrastive Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Learning Lagrangian Multipliers for the Travelling Salesman Problem.
Proceedings of the 30th International Conference on Principles and Practice of Constraint Programming, 2024

Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Disaster world.
Comput. Math. Organ. Theory, March, 2023

GenCO: Generating Diverse Solutions to Design Problems with Combinatorial Nature.
CoRR, 2023

Artificial Intelligence/Operations Research Workshop 2 Report Out.
CoRR, 2023

Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning.
Proceedings of the International Conference on Machine Learning, 2023

SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems.
Proceedings of the International Conference on Machine Learning, 2023

Moccasin: Efficient Tensor Rematerialization for Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

Local Branching Relaxation Heuristics for Integer Linear Programs.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

Predicting Wildlife Trafficking Routes with Differentiable Shortest Paths.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

Info-Wild: Knowledge Extraction and Management for Wildlife Conservation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Deadline-Aware Multi-Agent Tour Planning.
Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

2022
Learning generalized strong branching for set covering, set packing, and 0-1 knapsack problems.
Eur. J. Oper. Res., 2022

Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding.
Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Landscape Optimization for Prescribed Burns in Wildfire Mitigation Planning.
Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Anytime Multi-Agent Path Finding via Machine Learning-Guided Large Neighborhood Search.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling.
CoRR, 2021

Learning Pseudo-Backdoors for Mixed Integer Programs.
Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

Fragile Earth: Accelerating Progress towards Equitable Sustainability.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Node-Selection Strategies in Bounded-Suboptimal Conflict-Based Search for Multi-Agent Path Finding.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021


Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Model Generalization in Deep Learning Applications for Land Cover Mapping.
CoRR, 2020

A General Large Neighborhood Search Framework for Solving Integer Programs.
CoRR, 2020

BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A General Large Neighborhood Search Framework for Solving Integer Linear Programs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Weakly Supervised Semantic Segmentation in the 2020 IEEE GRSS Data Fusion Contest.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version).
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Enhancing Seismic Resilience of Water Pipe Networks.
Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020

Video Game Level Repair via Mixed Integer Linear Programming.
Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020

Human-Machine Collaboration for Fast Land Cover Mapping.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

End-to-End Game-Focused Learning of Adversary Behavior in Security Games.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

MIPaaL: Mixed Integer Program as a Layer.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Evolution of Hierarchical Structure & Reuse in iGEM Synthetic DNA Sequences.
CoRR, 2019

Migration patterns under different scenarios of sea level rise.
CoRR, 2019

Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations.
CoRR, 2019

Decision-Focused Learning of Adversary Behavior in Security Games.
CoRR, 2019

Computational sustainability: computing for a better world and a sustainable future.
Commun. ACM, 2019

Improving GP-UCB Algorithm by Harnessing Decomposed Feedback.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

End to end learning and optimization on graphs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Budget-Constrained Demand-Weighted Network Design for Resilient Infrastructure.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Combinatorial Attacks on Binarized Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Evolution of Hierarchical Structure and Reuse in iGEM Synthetic DNA Sequences.
Proceedings of the Computational Science - ICCS 2019, 2019

Large Scale High-Resolution Land Cover Mapping With Multi-Resolution Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Using Game Theory in Real Time in the Real World: A Conservation Case Study.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Emergence and Evolution of Hierarchical Structure in Complex Systems.
CoRR, 2018

δ-MAPS: from spatio-temporal data to a weighted and lagged network between functional domains.
Appl. Netw. Sci., 2018

Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Imbalanced Collusive Security Games.
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

A Machine Learning Approach to Modeling Human Migration.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

Infrastructure Resilience for Climate Adaptation.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017
Hawkes Processes for Invasive Species Modeling and Management.
CoRR, 2017

Achieving full connectivity of sites in the multiperiod reserve network design problem.
Comput. Oper. Res., 2017

Learning Combinatorial Optimization Algorithms over Graphs.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning to Run Heuristics in Tree Search.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract).
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

A Deep Learning Approach for Population Estimation from Satellite Imagery.
Proceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities, 2017

CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Optimal Patrol Planning for Green Security Games with Black-Box Attackers.
Proceedings of the Decision and Game Theory for Security - 8th International Conference, 2017

\delta -MAPS: From fMRI Data to Functional Brain Networks.
Proceedings of the Complex Networks & Their Applications VI, 2017

Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints.
IEEE Trans. Knowl. Data Eng., 2016

Refugee Resettlement Housing Scout.
CoRR, 2016

An approach to integrate inter-dependent simulations using HLA with applications to sustainable urban development.
Proceedings of the Winter Simulation Conference, 2016

Lexis: An Optimization Framework for Discovering the Hierarchical Structure of Sequential Data.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Active Learning in Multi-objective Evolutionary Algorithms for Sustainable Building Design.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Network optimization of food flows in the U.S.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Learning to Branch in Mixed Integer Programming.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Reports from the 2015 AAAI Workshop Program.
AI Mag., 2015

Coarse Models for Bird Migrations Using Clustering and Non-Stationary Markov Chains.
Proceedings of the Computational Sustainability, 2015

Sustainable Building Design: A Challenge at the Intersection of Machine Learning and Design Optimization.
Proceedings of the Computational Sustainability, 2015

Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search.
Ann. Math. Artif. Intell., 2014

To gather together for a better world: understanding and leveraging communities in micro-lending recommendation.
Proceedings of the 23rd International World Wide Web Conference, 2014

Scalable diffusion-aware optimization of network topology.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Improving Your Chances: Boosting Citizen Science Discovery.
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, 2013

Large Landscape Conservation - Synthetic and Real-World Datasets.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Robust Network Design For Multispecies Conservation.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Exploiting Structure in combinatorial Problems with Applications in Computational Sustainability.
PhD thesis, 2012

Incorporating Computational Sustainability into AI Education through a Freely-Available, Collectively-Composed Supplementary Lab Text.
Proceedings of the Third Symposium on Education Advances in Artificial Intelligence, 2012

2011
Upgrading Shortest Paths in Networks.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2011

2010
Maximizing the Spread of Cascades Using Network Design.
Proceedings of the UAI 2010, 2010

Solving Connected Subgraph Problems in Wildlife Conservation.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2010

An Empirical Study of Optimization for Maximizing Diffusion in Networks.
Proceedings of the Principles and Practice of Constraint Programming - CP 2010, 2010

2009
Backdoors in the Context of Learning.
Proceedings of the Theory and Applications of Satisfiability Testing, 2009

Backdoors to Combinatorial Optimization: Feasibility and Optimality.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems, 2009

2008
Tradeoffs in Backdoors: Inconsistency Detection, Dynamic Simplification, and Preprocessing.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

2007
Tradeoffs in the Complexity of Backdoor Detection.
Proceedings of the Principles and Practice of Constraint Programming, 2007

The Impact of Network Topology on Pure Nash Equilibria in Graphical Games.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005
Extending Systematic Local Search for Job Shop Scheduling Problems.
Proceedings of the Principles and Practice of Constraint Programming, 2005

2004
A Hybrid Schema for Systematic Local Search.
Proceedings of the Advances in Artificial Intelligence, 2004

The U.S. National Football League Scheduling Problem.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004


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