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Morteza Haghir Chehreghani

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Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP

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Mar 25, 2024
Attila Lischka, Jiaming Wu, Rafael Basso, Morteza Haghir Chehreghani, Balázs Kulcsár

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Tactical Decision Making for Autonomous Trucks by Deep Reinforcement Learning with Total Cost of Operation Based Reward

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Mar 11, 2024
Deepthi Pathare, Leo Laine, Morteza Haghir Chehreghani

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Tree Ensembles for Contextual Bandits

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Feb 10, 2024
Hannes Nilsson, Rikard Johansson, Niklas Åkerblom, Morteza Haghir Chehreghani

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Effective Acquisition Functions for Active Correlation Clustering

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Feb 05, 2024
Linus Aronsson, Morteza Haghir Chehreghani

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Combinatorial Gaussian Process Bandits in Bayesian Settings: Theory and Application for Energy-Efficient Navigation

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Dec 20, 2023
Jack Sandberg, Niklas Åkerblom, Morteza Haghir Chehreghani

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Cost-Efficient Online Decision Making: A Combinatorial Multi-Armed Bandit Approach

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Aug 21, 2023
Arman Rahbar, Niklas Åkerblom, Morteza Haghir Chehreghani

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Efficient Online Decision Tree Learning with Active Feature Acquisition

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May 03, 2023
Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani

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A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction

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Apr 06, 2023
Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani

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Utilizing Reinforcement Learning for de novo Drug Design

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Mar 30, 2023
Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist, Morteza Haghir Chehreghani

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Prediction of Time and Distance of Trips Using Explainable Attention-based LSTMs

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Mar 27, 2023
Ebrahim Balouji, Jonas Sjöblom, Nikolce Murgovski, Morteza Haghir Chehreghani

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