M. Chehreghani

发表

Information Theoretic Model Selection for Pattern Analysis

Joachim M. Buhmann, Mario Frank, Morteza Haghir Chehreghani, 2011, ICML Unsupervised and Transfer Learning.

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA

A. Ihler, D. Janzing, M. Chehreghani, 2016, UAI.

APPROXIMATION SET CODING FOR INFORMATION THEORETIC MODEL VALIDATION

J. Buhmann, M. Chehreghani, A. Busetto, 2012 .

A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification

M. Chehreghani, F. Hoseini, Niklas Åkerblom, 2022, ArXiv.

Stochastic Proximal Algorithms with SON Regularization: Towards Efficient Optimal Transport for Domain Adaptation.

Devdatt P. Dubhashi, M. Chehreghani, A. Panahi, 2019, 1903.03850.

Controlling gene expression with deep generative design of regulatory DNA

Devdatt P. Dubhashi, Morteza Haghir Chehreghani, Nora K. Speicher, 2022, Nature Communications.

Shallow Node Representation Learning using Centrality Indices

M. Chehreghani, M. H. Chehreghani, E. Nazerfard, 2021, 2021 IEEE International Conference on Big Data (Big Data).

A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification

M. Chehreghani, F. Hoseini, Niklas Åkerblom, 2022, ArXiv.

Active learning of driving scenario trajectories

M. Chehreghani, Sadegh Rahrovani, Sanna Jarl, 2022, Eng. Appl. Artif. Intell..

Autonomous Drug Design with Multi-armed Bandits

O. Engkvist, M. Chehreghani, E. Bjerrum, 2022, ArXiv.

An Online Learning Approach for Vehicle Usage Prediction During COVID-19

M. Chehreghani, Mitra Pourabdollah, Niklas Åkerblom, 2022, ArXiv.

Analysis of Knowledge Transfer in Kernel Regime

Devdatt P. Dubhashi, C. Bhattacharyya, M. Chehreghani, 2020, International Conference on Information and Knowledge Management.

Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms

M. Chehreghani, Carl Johnell, 2020, CIKM.

Active learning of driving scenario trajectories

M. Chehreghani, Sadegh Rahrovani, Sanna Jarl, 2021, Eng. Appl. Artif. Intell..

Shift of Pairwise Similarities for Data Clustering

M. Chehreghani, 2021, Mach. Learn..

Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks

John Daniel Bossér, M. Chehreghani, Erik Sörstadius, 2020, 2021 IEEE International Conference on Big Data (Big Data).

Learning representations from dendrograms

M. Chehreghani, Morteza Haghir Chehreghani, M. H. Chehreghani, 2018, Machine Learning.

A Combinatorial Semi-Bandit Approach to Charging Station Selection for Electric Vehicles

M. Chehreghani, Niklas Åkerblom, 2023, ArXiv.

Graph Clustering Using Node Embeddings: An Empirical Study

M. Chehreghani, M. H. Chehreghani, Mahdi Ghanbari, 2022, 2022 IEEE International Conference on Big Data (Big Data).

A Generic Framework for Clustering Vehicle Motion Trajectories pdf

Morteza Haghir Chehreghani, Sadegh Rahrovani, Fazeleh Sadat Hoseini, 2020, ArXiv.

Reliable Agglomerative Clustering pdf

Morteza Haghir Chehreghani, M. Chehreghani, 2018, 2021 International Joint Conference on Neural Networks (IJCNN).

Hierarchical Correlation Clustering and Tree Preserving Embedding pdf

Morteza Haghir Chehreghani, M. Chehreghani, 2020, ArXiv.

Nonparametric Feature Extraction from Dendrograms pdf

Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani, M. Chehreghani, 2018, ArXiv.

Lifelong Learning Starting From Zero

Morteza Haghir Chehreghani, Claes Strannegård, Filip Slottner Seholm, 2019, AGI.

Supervised generative design of regulatory DNA for gene expression control

Devdatt P. Dubhashi, Morteza Haghir Chehreghani, Nora K. Speicher, 2021, bioRxiv.

Unsupervised representation learning with Minimax distance measures

M. Chehreghani, Morteza Haghir Chehreghani, 2019, Machine Learning.

Nonparametric feature extraction based on Minimax distance

M. Chehreghani, 2019, ArXiv.

Classification with Minimax Distance Measures

Morteza Haghir Chehreghani, M. Chehreghani, 2017, AAAI.

An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles pdf

Morteza Haghir Chehreghani, Yuxin Chen, Niklas Åkerblom, 2020, IJCAI.

Active Learning with Positive and Negative Pairwise Feedback

M. Chehreghani, L. Aronsson, 2023, 2302.10295.

A Non-Convex Optimization Approach to Correlation Clustering

Devdatt P. Dubhashi, Morteza Haghir Chehreghani, Devdatt Dubhashi, 2019, AAAI.

Clustering by Shift

Morteza Haghir Chehreghani, M. Chehreghani, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Information Theoretic Model Validation for Spectral Clustering

Joachim M. Buhmann, Morteza Haghir Chehreghani, Alberto Giovanni Busetto, 2012, AISTATS.

The Minimum Transfer Cost Principle for Model-Order Selection

Joachim M. Buhmann, Mario Frank, Morteza Haghir Chehreghani, 2011, ECML/PKDD.

Transactional Tree Mining

Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani, M. Chehreghani, 2016, ECML/PKDD.

OInduced: An Efficient Algorithm for Mining Induced Patterns From Rooted Ordered Trees

Caro Lucas, Masoud Rahgozar, Morteza Haghir Chehreghani, 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

Efficient rule based structural algorithms for classification of tree structured data

Caro Lucas, Euhanna Ghadimi, Masoud Rahgozar, 2009, Intell. Data Anal..

Mining Maximal Embedded Unordered Tree Patterns

Caro Lucas, Masoud Rahgozar, Morteza Haghir Chehreghani, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Feature-Oriented Analysis of User Profile Completion Problem

Morteza Haghir Chehreghani, M. Chehreghani, 2017, ECIR.

Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting pdf

Andreas Krause, Jean-Michel Renders, Morteza Haghir Chehreghani, 2017, UAI.

On Using Node Indices and Their Correlations for Fake Account Detection

M. Chehreghani, M. H. Chehreghani, Sara Asghari, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Novel meta-heuristic algorithms for clustering web documents

Morteza Haghir Chehreghani, Hassan Abolhassani, Rana Forsati, 2008, Appl. Math. Comput..

Modeling Transitivity in Complex Networks pdf

Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani, M. Chehreghani, 2014, UAI.

PROBABILISTIC HEURISTICS FOR HIERARCHICAL WEB DATA CLUSTERING

Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani, 2012, Comput. Intell..

Online Learning of Energy Consumption for Navigation of Electric Vehicles

Yuxin Chen, M. Chehreghani, Niklas Åkerblom, 2021, Artif. Intell..

Frank-Wolfe Optimization for Dominant Set Clustering pdf

Morteza Haghir Chehreghani, Carl Johnell, M. Chehreghani, 2020, ArXiv.

Efficient Computation of Pairwise Minimax Distance Measures

Morteza Haghir Chehreghani, M. Chehreghani, 2017, 2017 IEEE International Conference on Data Mining (ICDM).

Utilizing Reinforcement Learning for de novo Drug Design

O. Engkvist, M. Chehreghani, C. Tyrchan, 2023, ArXiv.

Recycling of Crushed Clay Brick as Aggregate in Concrete

M. Chehreghani, M. Nourbakhsh, Hamed Nabizadeh Rafsanjani, 2011 .

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

M. Chehreghani, P. Leitner, L. Aronsson, 2023, ArXiv.

TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks

M. Chehreghani, Mazen Mohamad, P. Leitner, 2022, PROFES.

Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction pdf

Morteza Haghir Chehreghani, Ahmad Nickabadi, Ali Samadzadeh, 2020, Neural Processing Letters.

Deep Q‐learning: A robust control approach

M. Chehreghani, B. Varga, B. Kulcs'ar, 2022, International Journal of Robust and Nonlinear Control.

On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime

Devdatt P. Dubhashi, C. Bhattacharyya, M. Chehreghani, 2020, ArXiv.

Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach pdf

Morteza Haghir Chehreghani, Bal'azs Kulcs'ar, Bal'azs Varga, 2021, ArXiv.

Density link-based methods for clustering web pages

Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani, 2009, Decis. Support Syst..

Passive and Active Learning of Driver Behavior from Electric Vehicles

M. Chehreghani, Federica Comuni, Niklas Åkerblom, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Generation of Driving Scenario Trajectories with Generative Adversarial Networks

Morteza Haghir Chehreghani, Sadegh Rahrovani, Andreas Demetriou, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

Efficient Online Decision Tree Learning with Active Feature Acquisition

Yuxin Chen, M. Chehreghani, Ziyu Ye, 2023, IJCAI.

Adaptive trajectory analysis of replicator dynamics for data clustering

M. Chehreghani, 2016, Machine Learning.

A template for the arxiv style

M. Chehreghani, Niklas Åkerblom, Arman Rahbar, 2023 .

Improving density-based methods for hierarchical clustering of web pages

Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani, 2008, Data Knowl. Eng..

Autonomous Drug Design with Multi-Armed Bandits

O. Engkvist, M. Chehreghani, E. Bjerrum, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Online learning of network bottlenecks via minimax paths

M. Chehreghani, F. Hoseini, Niklas Åkerblom, 2021, Machine-mediated learning.

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

Nikolce Murgovski, M. Chehreghani, J. Sjöblom, 2023, ArXiv.

A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification

M. Chehreghani, F. Hoseini, Niklas Åkerblom, 2022, ArXiv.

A unified framework for online trip destination prediction

Nikolce Murgovski, M. Chehreghani, J. Sjöblom, 2021, Machine Learning.

Trip Prediction by Leveraging Trip Histories from Neighboring Users

Yuxin Chen, M. Chehreghani, 2018, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Attaining Higher Quality for Density Based Algorithms

Morteza Haghir Chehreghani, Hassan Abolhassani, Mostafa Haghir Chehreghani, 2007, RR.

Accelerated proximal incremental algorithm schemes for non-strongly convex functions

Devdatt P. Dubhashi, Morteza Haghir Chehreghani, Ashkan Panahi, 2020, Theor. Comput. Sci..

Stochastic Proximal Algorithms with SON Regularization: Towards Efficient Optimal Transport for Domain Adaptation.

Devdatt P. Dubhashi, M. Chehreghani, Arman Rahbar, 2020 .

Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework

Devdatt P. Dubhashi, H. Krim, M. Chehreghani, 2019, ICML.

Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction

Fatemeh Sadat Tabatabaei Far, M. Chehreghani, A. Nickabadi, 2020, Neural Processing Letters.

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

Morteza Haghir Chehreghani, M. Chehreghani, P. Leitner, 2023, ArXiv.

An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles

Yuxin Chen, M. Chehreghani, Niklas Åkerblom, 2020, IJCAI.

Information-Theoretic Active Correlation Clustering

M. Chehreghani, Linus Aronsson, 2024, 2402.03587.

Correlation Clustering with Active Learning of Pairwise Similarities

M. Chehreghani, Linus Aronsson, 2023, 2302.10295.

Information-theoretic validation of clustering algorithms

Morteza Haghir Chehreghani, M. Chehreghani, 2013 .

Efficient Context-Aware K-Nearest Neighbor Search

Morteza Haghir Chehreghani, Mostafa Haghir Chehreghani, M. Chehreghani, 2018, ECIR.

A heuristic algorithm for clustering rooted ordered trees

Caro Lucas, Masoud Rahgozar, Morteza Haghir Chehreghani, 2007, Intell. Data Anal..

Clustering Rooted Ordered Trees

Caro Lucas, Masoud Rahgozar, Morteza Haghir Chehreghani, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

K-Nearest Neighbor Search and Outlier Detection via Minimax Distances

Morteza Haghir Chehreghani, M. Chehreghani, 2016, SDM.