Mohammad H. Rohban

According to our database, Mohammad H. Rohban authored at least 64 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Robust Heterogeneous Offloading Setup Using Adversarial Training.

Mahdi Amiri, Mohammad Hossein Rohban, Shaahin Hessabi

IEEE Trans. Mob. Comput., July, 2024

Correction to: Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures.

Mehdi Rahmani Jevinani, Banafsheh Habibian Dehkordi, Ian J. Ferguson, Mohammad Hossein Rohban

Earth Sci. Informatics, April, 2024

Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures.

Mehdi Rahmani Jevinani, Banafsheh Habibian Dehkordi, Ian J. Ferguson, Mohammad Hossein Rohban

Earth Sci. Informatics, April, 2024

IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology.

Pardis Afshar, Sajjad Hashembeiki, Pouya Khani, Emad Fatemizadeh, Mohammad Hossein Rohban

CoRR, 2024

Snuffy: Efficient Whole Slide Image Classifier.

Hossein Jafarinia, Alireza Alipanah, Danial Hamdi, Saeed Razavi, Nahal Mirzaie, Mohammad Hossein Rohban

CoRR, 2024

Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models.

Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

CoRR, 2024

Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?

Omid Ghahroodi, Marzia Nouri, Mohammad V. Sanian, Alireza Sahebi, Doratossadat Dastgheib, Ehsaneddin Asgari, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

CoRR, 2024

Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP.

Reza Abbasi, Mohammad Samiei, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

CoRR, 2024

CRISPR: Ensemble Model.

Mohammad Rostami, Amin Ghariyazi, Hamed Dashti, Mohammad Hossein Rohban, Hamid R. Rabiee

CoRR, 2024

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples.

Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mohammad Azizmalayeri, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Killing It With Zero-Shot: Adversarially Robust Novelty Detection.

Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Zeinab Sadat Taghavi, Mohammad Sabokrou, Mohammad Hossein Rohban

Proceedings of the IEEE International Conference on Acoustics, 2024

GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models.

Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Universal Novelty Detection Through Adaptive Contrastive Learning.

Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

User Voices, Platform Choices: Social Media Policy Puzzle with Decentralization Salt.

Sina Elahimanesh, Iman Mohammadi, Mohammad Mosayebi, Sara Zahedi Movahed, Hosein Hasani, Mohammad Hossein Rohban

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

ZeroGrad: Costless conscious remedies for catastrophic overfitting in the FGSM adversarial training.

Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban

Intell. Syst. Appl., September, 2023

Examination of Lemon Bruising Using Different CNN-Based Classifiers and Local Spectral-Spatial Hyperspectral Imaging.

Razieh Pourdarbani, Sajad Sabzi, Mohsen Dehghankar, Mohammad H. Rohban, Juan Ignacio Arribas

Algorithms, February, 2023

Lagrangian objective function leads to improved unforeseen attack generalization.

Mohammad Azizmalayeri, Mohammad Hossein Rohban

Mach. Learn., 2023

Annotation-Free Group Robustness via Loss-Based Resampling.

Mahdi Ghaznavi, Hesam Asadollahzadeh, HamidReza Yaghoubi Araghi, Fahimeh Hosseini Noohdani, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

CoRR, 2023

Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection.

Mohammad Azizmalayeri, Reza Abbasi, Amir Hosein Haji Mohammad rezaie, Reihaneh Zohrabi, Mahdi Amiri, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

CoRR, 2023

Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods.

Mahdi Salmani, Alireza Dehghanpour Farashah, Mohammad Azizmalayeri, Mahdi Amiri, Navid Eslami, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

CoRR, 2023

Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework.

Arshia Soltani Moakhar, Mohammad Azizmalayeri, Hossein Mirzaei, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

CoRR, 2023

Novel Pipeline for Diagnosing Acute Lymphoblastic Leukemia Sensitive to Related Biomarkers.

Amirhossein Askari-Farsangi, Ali Sharifi-Zarchi, Mohammad Hossein Rohban

CoRR, 2023

KS-GNNExplainer: Global Model Interpretation Through Instance Explanations On Histopathology images.

Sina Abdous, Reza Abdollahzadeh, Mohammad Hossein Rohban

CoRR, 2023

Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection.

Omid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Hamid R. Rabiee, Ehsaneddin Asgari

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Weakly-Supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery.

Nahal Mirzaie, Mohammad V. Sanian, Mohammad H. Rohban

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Borderless Azerbaijani Processing: Linguistic Resources and a Transformer-based Approach for Azerbaijani Transliteration.

Reihaneh Zohrabi, Mostafa Masumi, Omid Ghahroodi, Parham AbedAzad, Hamid Beigy, Mohammad Hossein Rohban, Ehsaneddin Asgari

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection.

Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection.

Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023

2022

A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges.

Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou

Trans. Mach. Learn. Res., 2022

InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection.

Ali Garjani, Atoosa Malemir Chegini, Mohammadreza Salehi, Alireza Tabibzadeh, Parastoo Yousefi, Mohammad Hossein Razizadeh, Moein Esghaei, Maryam Esghaei, Mohammad Hossein Rohban

CoRR, 2022

PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations.

Simin Shekarpaz, Mohammad Azizmalayeri, Mohammad Hossein Rohban

CoRR, 2022

SwinCheX: Multi-label classification on chest X-ray images with transformers.

Sina Taslimi, Soroush Taslimi, Nima Fathi, Mohammadreza Salehi, Mohammad Hossein Rohban

CoRR, 2022

OOD Augmentation May Be at Odds with Open-Set Recognition.

Mohammad Azizmalayeri, Mohammad Hossein Rohban

CoRR, 2022

Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models.

Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban

CoRR, 2022

Your Out-of-Distribution Detection Method is Not Robust!

Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

ARAE: Adversarially robust training of autoencoders improves novelty detection.

Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee

Neural Networks, 2021

The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification.

Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban

CoRR, 2021

ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training.

Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban

CoRR, 2021

Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training.

Mohammad Azizmalayeri, Mohammad Hossein Rohban

CoRR, 2021

Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI.

Reza Shirkavand, Sana Ayromlou, Soroush Farghadani, Maedeh-sadat Tahaei, Fattane Pourakpour, Bahareh Siahlou, Zeynab Khodakarami, Mohammad H. Rohban, Mansoor Fatehi, Hamid R. Rabiee

CoRR, 2021

Multiresolution Knowledge Distillation for Anomaly Detection.

Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, Hamid R. Rabiee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Puzzle-AE: Novelty Detection in Images through Solving Puzzles.

Mohammadreza Salehi, Ainaz Eftekhar, Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee

CoRR, 2020

Towards Deep Learning Models Resistant to Large Perturbations.

Amirreza Shaeiri, Rozhin Nobahari, Mohammad Hossein Rohban

CoRR, 2020

2016

Minimax Optimal Sparse Signal Recovery With Poisson Statistics.

Mohammad Hossein Rohban, Venkatesh Saligrama, Delaram Motamed Vaziri

IEEE Trans. Signal Process., 2016

2014

Sparse signal recovery under poisson statistics for online marketing applications.

Delaram Motamedvaziri, Mohammad Hossein Rohban, Venkatesh Saligrama

Proceedings of the IEEE International Conference on Acoustics, 2014

Efficient Distributed Topic Modeling with Provable Guarantees.

Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Necessary and Sufficient Conditions for Novel Word Detection in Separable Topic Models.

Weicong Ding, Prakash Ishwar, Mohammad H. Rohban, Venkatesh Saligrama

CoRR, 2013

An impossibility result for high dimensional supervised learning.

Mohammad H. Rohban, Prakash Ishwar, Burkay Orten, William Clement Karl, Venkatesh Saligrama

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Topic Discovery through Data Dependent and Random Projections.

Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama

Proceedings of the 30th International Conference on Machine Learning, 2013

Incorporating Betweenness Centrality in Compressive Sensing for congestion detection.

Hoda S. Ayatollahi Tabatabaii, Hamid R. Rabiee, Mohammad Hossein Rohban, Mostafa Salehi

Proceedings of the IEEE International Conference on Acoustics, 2013

A new geometric approach to latent topic modeling and discovery.

Weicong Ding, Mohammad H. Rohban, Prakash Ishwar, Venkatesh Saligrama

Proceedings of the IEEE International Conference on Acoustics, 2013

Sparse signal recovery under Poisson statistics.

Delaram Motamedvaziri, Mohammad H. Rohban, Venkatesh Saligrama

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

Signal Extrapolation for Image and Video Error Concealment Using Gaussian Processes With Adaptive Nonstationary Kernels.

Hadi Asheri, Hamid R. Rabiee, Mohammad H. Rohban

IEEE Signal Process. Lett., 2012

Graph based semi-supervised human pose estimation: When the output space comes to help.

Nima Pourdamghani, Hamid R. Rabiee, Fartash Faghri, Mohammad Hossein Rohban

Pattern Recognit. Lett., 2012

Supervised neighborhood graph construction for semi-supervised classification.

Mohammad H. Rohban, Hamid R. Rabiee

Pattern Recognit., 2012

A Bayesian Approach to the Data Description Problem.

Alireza Ghasemi, Hamid R. Rabiee, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Face recognition across large pose variations via Boosted Tied Factor Analysis.

Salman Khaleghian, Hamid R. Rabiee, Mohammad H. Rohban

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Manifold Coarse Graining for Online Semi-supervised Learning.

Mehrdad Farajtabar, Amirreza Shaban, Hamid Reza Rabiee, Mohammad H. Rohban

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Active one-class learning by kernel density estimation.

Alireza Ghasemi, Mohammad Taghi Manzuri, Hamid R. Rabiee, Mohammad H. Rohban, Siavash Haghiri

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning.

Marjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, Mohammad Hossein Rohban

Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Active Learning from Positive and Unlabeled Data.

Alireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad Taghi Manzuri, Mohammad H. Rohban

Proceedings of the Data Mining Workshops (ICDMW), 2011

Motion vector recovery with Gaussian Process Regression.

Hadi Asheri, Abdolkhalegh Bayati, Hamid R. Rabiee, Mohammad H. Rohban

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

A Gaussian Process Regression Framework for Spatial Error Concealment with Adaptive Kernels.

Hadi Asheri, Hamid R. Rabiee, Nima Pourdamghani, Mohammad H. Rohban

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Face virtual pose generation using aligned locally linear regression for face recognition.

Mohammad H. Rohban, Hamid R. Rabiee, Arash Vahdat

Proceedings of the International Conference on Image Processing, 2009