Mohammad Hossein Rohban

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 41

Top Topics

Novelty Detection

Top Venues

Earth Sci. Informatics

Publications

Mehdi Rahmani Jevinani, Banafsheh Habibian Dehkordi, Ian J. Ferguson, Mohammad Hossein Rohban
Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures. Earth Sci. Informatics 17 (2) (2024)
Sina Elahimanesh, Iman Mohammadi, Mohammad Mosayebi, Sara Zahedi Movahed, Hosein Hasani, Mohammad Hossein Rohban
User Voices, Platform Choices: Social Media Policy Puzzle with Decentralization Salt. CHI Extended Abstracts (2024)
Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Zeinab Sadat Taghavi, Mohammad Sabokrou, Mohammad Hossein Rohban
Killing It With Zero-Shot: Adversarially Robust Novelty Detection. ICASSP (2024)
Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models. CoRR (2024)
Mehdi Rahmani Jevinani, Banafsheh Habibian Dehkordi, Ian J. Ferguson, Mohammad Hossein Rohban
Correction to: Deep learning-based 1-D magnetotelluric inversion: performance comparison of architectures. Earth Sci. Informatics 17 (2) (2024)
Reza Abbasi, Mohammad Samiei, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah
Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP. CoRR (2024)
Mohammad Rostami, Amin Ghariyazi, Hamed Dashti, Mohammad Hossein Rohban, Hamid R. Rabiee
CRISPR: Ensemble Model. CoRR (2024)
Omid Ghahroodi, Marzia Nouri, Mohammad V. Sanian, Alireza Sahebi, Doratossadat Dastgheib, Ehsaneddin Asgari, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban
Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language? CoRR (2024)
Mahdi Amiri, Mohammad Hossein Rohban, Shaahin Hessabi
A Robust Heterogeneous Offloading Setup Using Adversarial Training. IEEE Trans. Mob. Comput. 23 (7) (2024)
Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models. CoRR (2024)
Arshia Soltani Moakhar, Mohammad Azizmalayeri, Hossein Mirzaei, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework. CoRR (2023)
Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban
ZeroGrad: Costless conscious remedies for catastrophic overfitting in the FGSM adversarial training. Intell. Syst. Appl. 19 (2023)
Amirhossein Askari-Farsangi, Ali Sharifi-Zarchi, Mohammad Hossein Rohban
Novel Pipeline for Diagnosing Acute Lymphoblastic Leukemia Sensitive to Related Biomarkers. CoRR (2023)
Reihaneh Zohrabi, Mostafa Masumi, Omid Ghahroodi, Parham AbedAzad, Hamid Beigy, Mohammad Hossein Rohban, Ehsaneddin Asgari
Borderless Azerbaijani Processing: Linguistic Resources and a Transformer-based Approach for Azerbaijani Transliteration. IJCNLP (2) (2023)
Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection. CSICC (2023)
Omid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Hamid R. Rabiee, Ehsaneddin Asgari
Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection. SemEval@ACL (2023)
Mahdi Salmani, Alireza Dehghanpour Farashah, Mohammad Azizmalayeri, Mahdi Amiri, Navid Eslami, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods. CoRR (2023)
Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. ICLR (2023)
Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection. CoRR (2023)
Mahdi Ghaznavi, Hesam Asadollahzadeh, HamidReza Yaghoubi Araghi, Fahimeh Hosseini Noohdani, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah
Annotation-Free Group Robustness via Loss-Based Resampling. CoRR (2023)
Mohammad Azizmalayeri, Reza Abbasi, Amir Hosein Haji Mohammad rezaie, Reihaneh Zohrabi, Mahdi Amiri, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection. CoRR (2023)
Mohammad Azizmalayeri, Mohammad Hossein Rohban
Lagrangian objective function leads to improved unforeseen attack generalization. Mach. Learn. 112 (8) (2023)
Sina Abdous, Reza Abdollahzadeh, Mohammad Hossein Rohban
KS-GNNExplainer: Global Model Interpretation Through Instance Explanations On Histopathology images. CoRR (2023)
Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. CoRR (2022)
Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
Your Out-of-Distribution Detection Method is Not Robust! CoRR (2022)
Ali Garjani, Atoosa Malemir Chegini, Mohammadreza Salehi, Alireza Tabibzadeh, Parastoo Yousefi, Mohammad Hossein Razizadeh, Moein Esghaei, Maryam Esghaei, Mohammad Hossein Rohban
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection. CoRR (2022)
Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
Your Out-of-Distribution Detection Method is Not Robust! NeurIPS (2022)
Mohammad Azizmalayeri, Mohammad Hossein Rohban
OOD Augmentation May Be at Odds with Open-Set Recognition. CoRR (2022)
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou
A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges. Trans. Mach. Learn. Res. 2022 (2022)
Simin Shekarpaz, Mohammad Azizmalayeri, Mohammad Hossein Rohban
PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations. CoRR (2022)
Sina Taslimi, Soroush Taslimi, Nima Fathi, Mohammadreza Salehi, Mohammad Hossein Rohban
SwinCheX: Multi-label classification on chest X-ray images with transformers. CoRR (2022)
Alireza Mousavi Hosseini, Amir Mohammad Abouei, Mohammad Hossein Rohban
The Interplay between Distribution Parameters and the Accuracy-Robustness Tradeoff in Classification. CoRR (2021)
Mohammad Azizmalayeri, Mohammad Hossein Rohban
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training. CoRR (2021)
Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee
ARAE: Adversarially robust training of autoencoders improves novelty detection. Neural Networks 144 (2021)
Zeinab Golgooni, Mehrdad Saberi, Masih Eskandar, Mohammad Hossein Rohban
ZeroGrad : Mitigating and Explaining Catastrophic Overfitting in FGSM Adversarial Training. CoRR (2021)
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges. CoRR (2021)
Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection. CoRR (2020)
Amirreza Shaeiri, Rozhin Nobahari, Mohammad Hossein Rohban
Towards Deep Learning Models Resistant to Large Perturbations. CoRR (2020)
Mohammadreza Salehi, Ainaz Eftekhar, Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee
Puzzle-AE: Novelty Detection in Images through Solving Puzzles. CoRR (2020)
Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad Hossein Rohban, Hamid R. Rabiee
Multiresolution Knowledge Distillation for Anomaly Detection. CoRR (2020)
Mohammad Hossein Rohban, Venkatesh Saligrama, Delaram Motamed Vaziri
Minimax Optimal Sparse Signal Recovery With Poisson Statistics. IEEE Trans. Signal Process. 64 (13) (2016)
Delaram Motamedvaziri, Mohammad Hossein Rohban, Venkatesh Saligrama
Sparse signal recovery under poisson statistics for online marketing applications. ICASSP (2014)
Hoda S. Ayatollahi Tabatabaii, Hamid R. Rabiee, Mohammad Hossein Rohban, Mostafa Salehi
Incorporating Betweenness Centrality in Compressive Sensing for congestion detection. ICASSP (2013)
Hoda S. Ayatollahi Tabatabaii, Hamid R. Rabiee, Mohammad Hossein Rohban, Mostafa Salehi
Incorporating Betweenness Centrality in Compressive Sensing for Congestion Detection CoRR (2013)
Weicong Ding, Mohammad Hossein Rohban, Prakash Ishwar, Venkatesh Saligrama
Topic Discovery through Data Dependent and Random Projections. ICML (3) (2013)
Alireza Ghasemi, Hamid R. Rabiee, Mohammad Taghi Manzuri, Mohammad Hossein Rohban
A Bayesian Approach to the Data Description Problem. AAAI (2012)
Nima Pourdamghani, Hamid R. Rabiee, Fartash Faghri, Mohammad Hossein Rohban
Graph based semi-supervised human pose estimation: When the output space comes to help. Pattern Recognit. Lett. 33 (12) (2012)
Marjan Ghazvininejad, Mostafa Mahdieh, Hamid R. Rabiee, Parisa Khanipour Roshan, Mohammad Hossein Rohban
Isograph: Neighbourhood Graph Construction Based on Geodesic Distance for Semi-supervised Learning. ICDM (2011)