MC
Morteza Haghir Chehreghani
cs.LGcs.AIstat.MLcs.ROcs.SEcs.SIq-bio.BMcs.CVcs.SYeess.SY
On Valency
published · living versionsW_j6swpvd7·v1 · currentpublished
Learned Terminal Costs for Short-Horizon Model Predictive Control of Autonomous Trucks in Interactive Highway Traffic
with Hooman Hamze, Benjamin Houshmand, Deepthi Pathare, Erik Börve +1
1 version
Preprints & journals
65 papers in the corpus · 2014–2026Active Feature Acquisition With Incomplete Training Data2609.32325v1 · Reza Rezvan, Valter Schutz, Han Wu et al.2026 · 0 citationsarXiv
Probabilistic Physics-Aware Machine Learning Predictions of Electric Truck Energy Consumption with Field Data2607.19054v2 · Hannes Nilsson, Rafael Basso, Bal'azs Kulcs'ar et al.2026 · 0 citationsarXiv
Interactive Trajectory Planning with Learning-based Distributionally Robust Model Predictive Control and Markov Systems2605.07768v1 · Erik Borve, Nikolce Murgovski, Morteza Haghir Chehreghani et al.2026 · 0 citationsarXiv
Two-Stage Learned Decomposition for Scalable Routing on Multigraphs2605.05389v2 · Filip Rydin, Morteza Haghir Chehreghani, Bal'azs Kulcs'ar2026 · 0 citationsarXiv
Non-Myopic Active Feature Acquisition via Pathwise Policy Gradients2605.05511v2 · Linus Aronsson, Morteza Haghir Chehreghani2026 · 0 citationsarXiv
Decoupling Task and Behavior: A Two-Stage Reward Curriculum in Reinforcement Learning for Robotics2603.05113v1 · Kilian Freitag, Knut \AAkesson, Morteza Haghir Chehreghani2026 · 0 citationsarXiv
Preference-Conditioned Multi-Objective Reinforcement Learning for Tactical Decision Making in Heavy-Duty Vehicles2601.18783v3 · Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani2026 · 0 citationsarXiv
Cold-Start Active Correlation Clustering2509.25376v2 · Linus Aronsson, Han Wu, Morteza Haghir Chehreghani2025 · 0 citationsThe 19th International Conference on Web Search and Data Mining (WSDM 2025)
AFABench: A Generic Framework for Benchmarking Active Feature Acquisition2508.14734v3 · Valter Schutz, Han Wu, Reza Rezvan et al.2025 · 0 citationsarXiv
Learning for routing: A guided review of recent developments and future directions2507.00218v1 · Fangting Zhou, Attila Lischka, Balazs Kulcsar et al.2025 · 17 citationsTransportation Research Part E: Logistics and Transportation Review, Vol. 202, 2025, 104278
Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs2506.22095v5 · Filip Rydin, Attila Lischka, Jiaming Wu et al.2025 · 0 citationsarXiv
Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug Design2506.21158v2 · Hampus Gummesson Svensson, Ola Engkvist, Jon Paul Janet et al.2025 · 2 citationsarXiv
A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants2505.23875v1 · Peter Samoaa, Marcus Vukojevic, Morteza Haghir Chehreghani et al.2025 · 0 citationsJournal of Data-centric Machine Learning Research, 2026
A Survey on Active Feature Acquisition Strategies2502.11067v2 · Linus Aronsson, Arman Rahbar, Morteza Haghir Chehreghani2025 · 0 citationsarXiv
An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks2502.02197v4 · Linus Aronsson, Morteza Haghir Chehreghani2025 · 0 citationsThe Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)
Adaptive Prior Selection in Gaussian Process Bandits with Thompson Sampling2502.01226v4 · Jack Sandberg, Morteza Haghir Chehreghani2025 · 0 citationsarXiv
Curriculum Reinforcement Learning for Complex Reward Functions2410.16790v2 · Kilian Freitag, Kristian Ceder, Rita Laezza et al.2024 · 0 citationsarXiv
Diversity-Aware Reinforcement Learning for de novo Drug Design2410.10431v2 · Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist et al.2024 · 2 citationsProceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2025
GREAT: A Graph Edge Attention Network for the Electric Vehicle Routing Problem with Asymmetric Costs2408.16717v4 · Attila Lischka, Filip Rydin, Jiaming Wu et al.2024 · 3 citationsarXiv
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks2406.11437v1 · Peter Samoaa, Mehrdad Farahani, Antonio Longa et al.2024 · 0 citationsarXiv
Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP2403.17159v1 · Attila Lischka, Jiaming Wu, Rafael Basso et al.2024 · 4 citationsarXiv
Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward2403.06524v2 · Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani2024 · 1 citationArtificial Intelligence Review, Volume 59, Article number 27 (2026)
Tree Ensembles for Contextual Bandits2402.06963v3 · Hannes Nilsson, Rikard Johansson, Niklas \AAkerblom et al.2024 · 0 citationsTransactions on Machine Learning Research (TMLR), 2024, https://openreview.net/forum?id=59DCkSGw8S, GitHub: https://github.com/HannesNilsson/tree_ensemble_bandits
Information-Theoretic Active Correlation Clustering2402.03587v3 · Linus Aronsson, Morteza Haghir Chehreghani2024 · 0 citationsIEEE International Conference on Data Mining (ICDM), 2025
Bayesian Analysis of Combinatorial Gaussian Process Bandits2312.12676v3 · Jack Sandberg, Niklas \AAkerblom, Morteza Haghir Chehreghani2023 · 0 citationsarXiv
Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach2308.10699v3 · Arman Rahbar, Niklas \AAkerblom, Morteza Haghir Chehreghani2023 · 0 citationsTMLR 2025
Efficient Online Decision Tree Learning with Active Feature Acquisition2305.02093v2 · Arman Rahbar, Ziyu Ye, Yuxin Chen et al.2023 · 0 citationsProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), Main Track, Pages 4163-4171
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction2304.13032v2 · Peter Samoaa, Linus Aronsson, Antonio Longa et al.2023 · 5 citationsarXiv
Utilizing Reinforcement Learning for de novo Drug Design2303.17615v2 · Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist et al.2023 · 37 citationsMach Learn 113, 4811-4843 (2024)
Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs2303.15087v1 · Ebrahim Balouji, Jonas Sjoblom, Nikolce Murgovski et al.2023 · 0 citationsarXiv
Correlation Clustering with Active Learning of Pairwise Similarities2302.10295v4 · Linus Aronsson, Morteza Haghir Chehreghani2023 · 1 citationTransactions on Machine Learning Research (TMLR) (2024). https://openreview.net/forum?id=Ryf1TVCjBz
A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles2301.07156v1 · Niklas \AAkerblom, Morteza Haghir Chehreghani2023 · 0 citationsarXiv
Online Learning Models for Vehicle Usage Prediction During COVID-192210.16002v2 · Tobias Lindroth, Axel Svensson, Niklas \AAkerblom et al.2022 · 2 citationsarXiv
Controlling gene expression with deep generative design of regulatory DNA.36042233 · Zrimec, Jan, Fu, Xiaozhi, Muhammad, Azam Sheikh et al.2022 · 98 citationsNature communications. 2022;13(1):5099
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks2208.11947v1 · Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad et al.2022 · 11 citationsarXiv
Using Active Learning to Develop Machine Learning Models for Reaction Yield Prediction.35732584 · Viet Johansson, Simon, Gummesson Svensson, Hampus, Bjerrum, Esben et al.2022 · 26 citationsMolecular informatics. 2022;41(12):e2200043
Autonomous Drug Design with Multi-Armed Bandits2207.01393v2 · Hampus Gummesson Svensson, Esben Jannik Bjerrum, Christian Tyrchan et al.2022 · 7 citations2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, 2022, pp. 5584-5592
A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification2206.08144v2 · Fazeleh Hoseini, Niklas \AAkerblom, Morteza Haghir Chehreghani2022 · 1 citationarXiv
Passive and Active Learning of Driver Behavior from Electric Vehicles2203.02179v2 · Federica Comuni, Christopher M'esz'aros, Niklas \AAkerblom et al.2022 · 9 citationsarXiv
Deep Q-learning: a robust control approach2201.08610v2 · Balazs Varga, Balazs Kulcsar, Morteza Haghir Chehreghani2022 · 19 citationsInt J Robust Nonlinear Control. 2022; 1- 19
Online Learning of Energy Consumption for Navigation of Electric Vehicles2111.02314v2 · Niklas \AAkerblom, Yuxin Chen, Morteza Haghir Chehreghani2021 · 7 citationsArtificial Intelligence, 317:103879 (2023)
Shift of Pairwise Similarities for Data Clustering2110.13103v3 · Morteza Haghir Chehreghani2021 · 4 citationsarXiv
Online Learning of Network Bottlenecks via Minimax Paths2109.08467v3 · Niklas \AAkerblom, Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani2021 · 9 citationsMachine Learning 112 (2023) 131-150
Active Learning of Driving Scenario Trajectories2108.03217v2 · Sanna Jarl, Linus Aronsson, Sadegh Rahrovani et al.2021 · 21 citationsEngineering Applications of Artificial Intelligence, 113: 104972, 2022
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach2107.09139v2 · Bal'azs Varga, Bal'azs Kulcs'ar, Morteza Haghir Chehreghani2021 · 0 citationsarXiv
A Unified Framework for Online Trip Destination Prediction2101.04520v2 · Victor Eberstein, Jonas Sjoblom, Nikolce Murgovski et al.2021 · 0 citationsMachine Learning, 111, 3839-3865, 2022
A Generic Framework for Clustering Vehicle Motion Trajectories2009.12443v1 · Fazeleh S.Hoseini, Sadegh Rahrovani, Morteza Haghir Chehreghani2020 · 6 citationsarXiv
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks2009.10835v3 · John Daniel Boss'er, Erik Sorstadius, Morteza Haghir Chehreghani2020 · 17 citationsIEEE International Conference on Big Data (IEEE BigData), pp. 5053-5062, 2021
A Deep Learning Framework for Generation and Analysis of Driving Scenario Trajectories2007.14524v2 · Andreas Demetriou, Henrik Alfsv\aag, Sadegh Rahrovani et al.2020 · 70 citationsThe work is published in SN Computer Science, 4, 251, 2023
Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms2007.11652v3 · Carl Johnell, Morteza Haghir Chehreghani2020 · 1 citationACM International Conference on Information & Knowledge Management (CIKM), pages 915-924, 2022
Career total: 149 works. 65 are in this corpus.Showing the 50 most recent.
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