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Mohammad Rostami
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Books and Theses
- 2013
- [b1]Mohammad Rostami:
Compressed Sensing with Side Information on the Feasible Region. Springer Briefs in Electrical and Computer Engineering, Springer 2013, ISBN 978-3-319-00365-8, pp. i-xiii, 1-69
Journal Articles
- 2024
- [j27]Serban Stan, Mohammad Rostami:
Source-free domain adaptation for semantic image segmentation using internal representations. Frontiers Big Data 7 (2024) - [j26]Mohammad Rostami:
Continuous unsupervised domain adaptation using stabilized representations and experience replay. Neurocomputing 597: 128017 (2024) - [j25]Mohammad Rostami, Salman Goli-Bidgoli:
An overview of QoS-aware load balancing techniques in SDN-based IoT networks. J. Cloud Comput. 13(1): 89 (2024) - [j24]Serban Stan
, Mohammad Rostami
:
Unsupervised model adaptation for source-free segmentation of medical images. Medical Image Anal. 95: 103179 (2024) - [j23]Mohammad Rostami:
Improving unsupervised domain adaptation through class-conditional compact representations. Neural Comput. Appl. 36(25): 15237-15254 (2024) - [j22]Mohammad Rostami, Milad Mohammadi:
Two-machine decentralized flow shop scheduling problem with inter-factory batch delivery system. Oper. Res. 24(3): 39 (2024) - 2023
- [j21]Mohammad Rostami
, Salman Goli-Bidgoli
:
TMaLB: A Tolerable Many-Objective Load Balancing Technique for IoT Workflows Allocation. IEEE Access 11: 97037-97056 (2023) - [j20]Mohammad Rostami
:
Robust internal representations for domain generalization. AI Mag. 44(4): 467-481 (2023) - [j19]Mohammad Rostami, Ali Yousefzadeh:
A gamified teaching-learning based optimization algorithm for a three-echelon supply chain scheduling problem in a two-stage assembly flow shop environment. Appl. Soft Comput. 146: 110598 (2023) - 2022
- [j18]Serban Stan, Mohammad Rostami:
Secure Domain Adaptation with Multiple Sources. Trans. Mach. Learn. Res. 2022 (2022) - 2021
- [j17]Mohammad Rostami, Armin Jabbarzadeh
:
Integrated hub location and flow processing schedule problem under renewable capacity constraint. Comput. Appl. Math. 40(5) (2021) - [j16]Mohammad Rostami:
Minimizing maximum tardiness subject to collect the EOL products in a single machine scheduling problem with capacitated batch delivery and pickup systems. Comput. Ind. Eng. 161: 107634 (2021) - 2020
- [j15]Mohammad Rostami
, David Isele, Eric Eaton:
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. J. Artif. Intell. Res. 67: 673-704 (2020) - [j14]Mohammad Rostami, Morteza Bagherpour:
A lagrangian relaxation algorithm for facility location of resource-constrained decentralized multi-project scheduling problems. Oper. Res. 20(2): 857-897 (2020) - [j13]Mohammad Rostami, Shiva Nikravesh, Mahdi Shahin:
Minimizing total weighted completion and batch delivery times with machine deterioration and learning effect: a case study from wax production. Oper. Res. 20(3): 1255-1287 (2020) - 2019
- [j12]Mohammad Rostami
, Soheil Kolouri
, Eric Eaton, Kyungnam Kim:
Deep Transfer Learning for Few-Shot SAR Image Classification. Remote. Sens. 11(11): 1374 (2019) - 2017
- [j11]Hamed Kazemi
, Mohammad Mahdavi Mazdeh
, Mohammad Rostami:
The two stage assembly flow-shop scheduling problem with batching and delivery. Eng. Appl. Artif. Intell. 63: 98-107 (2017) - [j10]Mohammad Rostami, Morteza Bagherpour, Mohammad Mahdavi Mazdeh
, Ahmad Makui
:
Resource Pool Location for Periodic Services in Decentralized Multi-Project Scheduling Problems. J. Comput. Civ. Eng. 31(5) (2017) - 2015
- [j9]Mohammad Rostami, Amir Ebrahimzadeh Pilerood, Mohammad Mahdavi Mazdeh
:
Multi-objective parallel machine scheduling problem with job deterioration and learning effect under fuzzy environment. Comput. Ind. Eng. 85: 206-215 (2015) - [j8]Mohammad Rostami, Mohammad Haeri:
Undamped oscillations in fractional-order Duffing oscillator. Signal Process. 107: 361-367 (2015) - [j7]Mohammad Rostami
, Oleg V. Michailovich, Zhou Wang
:
Surface Reconstruction in Gradient-Field Domain Using Compressed Sensing. IEEE Trans. Image Process. 24(5): 1628-1638 (2015) - [j6]Hojatollah Yeganeh, Mohammad Rostami
, Zhou Wang
:
Objective Quality Assessment of Interpolated Natural Images. IEEE Trans. Image Process. 24(11): 4651-4663 (2015) - 2013
- [j5]Mohammad Mahdavi Mazdeh
, Mohammad Rostami, Mohammad Hossein Namaki:
Minimizing maximum tardiness and delivery costs in a batched delivery system. Comput. Ind. Eng. 66(4): 675-682 (2013) - [j4]Mohammad Rostami, Mohammad Haeri:
Study of Limit Cycles and Stability Analysis of Fractional Arneodo Oscillator. J. Optim. Theory Appl. 156(1): 68-78 (2013) - 2012
- [j3]Abdul Rehman, Mohammad Rostami
, Zhou Wang
, Dominique Brunet, Edward R. Vrscay:
SSIM-inspired image restoration using sparse representation. EURASIP J. Adv. Signal Process. 2012: 16 (2012) - [j2]Mohammad Rostami
, Oleg V. Michailovich, Zhou Wang
:
Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application. IEEE Trans. Image Process. 21(7): 3139-3149 (2012) - 2011
- [j1]Reza Khosravi-Farsani, Mohammad Rostami
:
Two-Way Writing on Dirty Paper. IEEE Commun. Lett. 15(7): 689-691 (2011)
Conference and Workshop Papers
- 2024
- [c47]Mohammad Rostami, Alan Liu, Karthikeyan Sundaresan:
Scalable Acoustic IoT through Composable Distributed Beamforming Tags. IPSN 2024: 39-50 - [c46]Mehrnoosh Mirtaheri
, Ryan A. Rossi
, Sungchul Kim
, Kanak Mahadik
, Tong Yu
, Xiang Chen
, Mohammad Rostami
:
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. WWW (Companion Volume) 2024: 497-500 - 2023
- [c45]Mohammad Rostami, Aram Galstyan:
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. AAAI 2023: 9623-9631 - [c44]Mohammad Rostami:
Internal Robust Representations for Domain Generalization. AAAI 2023: 15451 - [c43]Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan:
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion. ACL (Findings) 2023: 7740-7755 - [c42]Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason:
I2I: Initializing Adapters with Improvised Knowledge. CoLLAs 2023: 923-935 - [c41]Yuliang Cai, Jesse Thomason, Mohammad Rostami:
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. EMNLP (Findings) 2023: 6986-7000 - [c40]Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan:
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. EMNLP (Findings) 2023: 11484-11498 - [c39]Dayuan Jian, Mohammad Rostami:
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning. ICCV 2023: 18675-18685 - [c38]Zeyu Shangguan, Mohammad Rostami:
Identification of Novel Classes for Improving Few-Shot Object Detection. ICCV (Workshops) 2023: 3348-3358 - [c37]Mohammad Rostami, Aram Galstyan:
Cognitively Inspired Learning of Incremental Drifting Concepts. IJCAI 2023: 3058-3066 - 2022
- [c36]Serban Stan, Mohammad Rostami:
Domain Adaptation for the Segmentation of Confidential Medical Images. BMVC 2022: 1007 - [c35]Mohammad Rostami:
Increasing Model Generalizability for Unsupervised Visual Domain Adaptation. CoLLAs 2022: 281-293 - [c34]Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan:
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. ICIP 2022: 3973-3977 - [c33]Mohammad Rostami, Karthikeyan Sundaresan:
Enabling high accuracy pervasive tracking with ultra low power UWB tags. MobiCom 2022: 459-472 - [c32]Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason:
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. NeurIPS 2022 - 2021
- [c31]Serban Stan, Mohammad Rostami:
Unsupervised Model Adaptation for Continual Semantic Segmentation. AAAI 2021: 2593-2601 - [c30]Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan:
One-shot Learning for Temporal Knowledge Graphs. AKBC 2021 - [c29]Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren:
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. EMNLP (Findings) 2021: 714-729 - [c28]Ziping Hu, Zepei Zhao, Mohammad Rostami, Filip Ilievski, Basel Shbita:
Demo: Knowledge Graph-Based Housing Market Analysis. KGCW@ESWC 2021 - [c27]Mark Mann, Filip Ilievski, Mohammad Rostami, Aastha, Basel Shbita:
Open Drug Knowledge Graph. KGCW@ESWC 2021 - [c26]Mohammad Rostami
, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed:
Detection and Continual Learning of Novel Face Presentation Attacks. ICCV 2021: 14831-14840 - [c25]Mohammad Rostami, Xingda Chen, Yuda Feng, Karthikeyan Sundaresan, Deepak Ganesan:
MIXIQ: re-thinking ultra-low power receiver design for next-generation on-body applications. MobiCom 2021: 364-377 - [c24]Mohammad Rostami:
Lifelong Domain Adaptation via Consolidated Internal Distribution. NeurIPS 2021: 11172-11183 - [c23]Xingda Chen, Deepak Ganesan, Jeremy Gummeson, Mohammad Rostami:
COCOON: A Conductive Substrate-based Coupled Oscillator Network for Wireless Communication. SenSys 2021: 84-96 - 2020
- [c22]Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland:
Generative Continual Concept Learning. AAAI 2020: 5545-5552 - [c21]Mohammad Rostami, Karthik Sundaresan, Eugene Chai, Sampath Rangarajan, Deepak Ganesan:
Redefining passive in backscattering with commodity devices. MobiCom 2020: 3:1-3:13 - 2019
- [c20]Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim:
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. Allerton 2019: 352-359 - [c19]Mohammad Rostami
, Soheil Kolouri, Eric Eaton, Kyungnam Kim:
SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. CVPR Workshops 2019: 907-915 - [c18]Phillip E. Pope, Soheil Kolouri, Mohammad Rostami
, Charles E. Martin, Heiko Hoffmann
:
Explainability Methods for Graph Convolutional Neural Networks. CVPR 2019: 10772-10781 - [c17]Mohammad Rostami
, Soheil Kolouri, Praveen K. Pilly:
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. IJCAI 2019: 3339-3345 - 2018
- [c16]Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim:
Joint Dictionaries for Zero-Shot Learning. AAAI 2018: 3431-3439 - [c15]Mohammad Rostami, Eric Eaton:
Lifelong Learning Networks: Beyond Single Agent Lifelong Learning. AAAI 2018: 8145-8146 - [c14]Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton:
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. AAMAS 2018: 712-720 - [c13]Mohammad Rostami, David J. Huber, Tsai-Ching Lu:
A crowdsourcing triage algorithm for geopolitical event forecasting. RecSys 2018: 377-381 - [c12]Mohammad Rostami, Jeremy Gummeson, Ali Kiaghadi, Deepak Ganesan:
Polymorphic radios: a new design paradigm for ultra-low power communication. SIGCOMM 2018: 446-460 - 2017
- [c11]Mohammad Rostami:
Transfer of Knowledge through Collective Learning. AAAI 2017: 5050-5051 - 2016
- [c10]Ali Hashemi
, Mohammad Rostami
, Ngai-Man Cheung:
Efficient Environmental Temperature Monitoring Using Compressed Sensing. DCC 2016: 602 - [c9]David Isele, Mohammad Rostami, Eric Eaton:
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning. IJCAI 2016: 1620-1626 - [c8]Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento:
Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph. IPDPS Workshops 2016: 835-844 - [c7]Pengyu Zhang, Mohammad Rostami
, Pan Hu, Deepak Ganesan:
Enabling Practical Backscatter Communication for On-body Sensors. SIGCOMM 2016: 370-383 - [c6]Pan Hu, Pengyu Zhang, Mohammad Rostami
, Deepak Ganesan:
Braidio: An Integrated Active-Passive Radio for Mobile Devices with Asymmetric Energy Budgets. SIGCOMM 2016: 384-397 - 2013
- [c5]Mohammad Rostami
, Ngai-Man Cheung, Tony Q. S. Quek
:
Compressed sensing of diffusion fields under heat equation constraint. ICASSP 2013: 4271-4274 - 2012
- [c4]Mohammad Rostami
, Oleg V. Michailovich, Zhou Wang:
Gradient-based surface reconstruction using compressed sensing. ICIP 2012: 913-916 - [c3]Hojatollah Yeganeh, Mohammad Rostami
, Zhou Wang
:
Objective quality assessment for image super-resolution: A natural scene statistics approach. ICIP 2012: 1481-1484 - 2011
- [c2]Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi, Fakhreddine Karray:
Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator. IJCNN 2011: 2733-2740 - 2010
- [c1]Saeed Masoudnia
, Mohammad Rostami, Mahdi Tabassian, Atena Sajedin, Reza Ebrahimpour:
Evidence-based mixture of MLP-experts. IJCNN 2010: 1-7
Informal and Other Publications
- 2024
- [i51]Serban Stan, Mohammad Rostami:
Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations. CoRR abs/2401.01035 (2024) - [i50]Mohammad Rostami, Dayuan Jian:
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation. CoRR abs/2401.01042 (2024) - [i49]Navapat Nananukul, Hamid Soltanian-Zadeh, Mohammad Rostami:
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images. CoRR abs/2401.02941 (2024) - [i48]Mohammad Rostami:
Unsupervised Domain Adaptation Using Compact Internal Representations. CoRR abs/2401.07207 (2024) - [i47]Yuliang Cai, Mohammad Rostami:
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks. CoRR abs/2401.15275 (2024) - [i46]Mohammad Rostami:
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay. CoRR abs/2402.00580 (2024) - [i45]Mohammad Rostami, Atik Faysal, Huaxia Wang, Avimanyu Sahoo, Ryan Antle:
Meta-Tasks: An alternative view on Meta-Learning Regularization. CoRR abs/2402.18599 (2024) - [i44]Mohammad Rostami, Amin Ghariyazi, Hamed Dashti, Mohammad Hossein Rohban, Hamid R. Rabiee:
CRISPR: Ensemble Model. CoRR abs/2403.03018 (2024) - [i43]Zeyu Shangguan, Daniel Seita, Mohammad Rostami:
Cross-domain Multi-modal Few-shot Object Detection via Rich Text. CoRR abs/2403.16188 (2024) - [i42]Zizhao Hu, Shaochong Jia, Mohammad Rostami:
An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion Models. CoRR abs/2403.16530 (2024) - [i41]Zizhao Hu, Mohammad Rostami:
Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion. CoRR abs/2405.16098 (2024) - 2023
- [i40]Mengxi Wu, Mohammad Rostami:
Unsupervised Domain Adaptation for Graph-Structured Data Using Class-Conditional Distribution Alignment. CoRR abs/2301.12361 (2023) - [i39]Serban Stan, Mohammad Rostami:
Preserving Fairness in AI under Domain Shift. CoRR abs/2301.12369 (2023) - [i38]Zeyu Shangguan, Mohammad Rostami:
Identification of Novel Classes for Improving Few-Shot Object Detection. CoRR abs/2303.10422 (2023) - [i37]Zizhao Hu, Mohammad Rostami:
Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation. CoRR abs/2303.12255 (2023) - [i36]Dayuan Jian, Mohammad Rostami:
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning. CoRR abs/2303.12424 (2023) - [i35]Yuliang Cai, Jesse Thomason, Mohammad Rostami:
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. CoRR abs/2303.14423 (2023) - [i34]Ruitong Sun, Mohammad Rostami:
Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning. CoRR abs/2303.14615 (2023) - [i33]Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason:
I2I: Initializing Adapters with Improvised Knowledge. CoRR abs/2304.02168 (2023) - [i32]Viswanath Chadalapaka, Derek Nguyen, JoonWon Choi, Shaunak Joshi, Mohammad Rostami:
Low-Shot Learning for Fictional Claim Verification. CoRR abs/2304.02769 (2023) - [i31]Zizhao Hu, Mohammad Rostami:
Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models. CoRR abs/2305.18433 (2023) - [i30]Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan:
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion. CoRR abs/2305.18675 (2023) - [i29]Zeyu Shangguan, Mohammad Rostami:
Improved Region Proposal Network for Enhanced Few-Shot Object Detection. CoRR abs/2308.07535 (2023) - [i28]Mohammad Rostami:
Robust Internal Representations for Domain Generalization. CoRR abs/2309.15522 (2023) - [i27]Zizhao Hu, Mohammad Rostami:
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization. CoRR abs/2310.03898 (2023) - [i26]Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle:
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning. CoRR abs/2310.13085 (2023) - [i25]Zizhao Hu, Shaochong Jia, Mohammad Rostami:
Efficient Multimodal Diffusion Models Using Joint Data Infilling with Partially Shared U-Net. CoRR abs/2311.16488 (2023) - 2022
- [i24]Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason:
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. CoRR abs/2206.09059 (2022) - [i23]Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan:
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. CoRR abs/2207.04565 (2022) - [i22]Mohammad Rostami:
Increasing Model Generalizability for Unsupervised Domain Adaptation. CoRR abs/2209.14644 (2022) - [i21]Serban Stan, Mohammad Rostami:
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images. CoRR abs/2211.00807 (2022) - 2021
- [i20]Serban Stan, Mohammad Rostami:
Privacy Preserving Domain Adaptation for Semantic Segmentation of Medical Images. CoRR abs/2101.00522 (2021) - [i19]Xisen Jin, Mohammad Rostami, Xiang Ren:
Lifelong Learning of Few-shot Learners across NLP Tasks. CoRR abs/2104.08808 (2021) - [i18]Serban Stan, Mohammad Rostami:
Secure Domain Adaptation with Multiple Sources. CoRR abs/2106.12124 (2021) - [i17]Mohammad Rostami, Aram Galstyan:
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation. CoRR abs/2107.01598 (2021) - [i16]Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed:
Detection and Continual Learning of Novel Face Presentation Attacks. CoRR abs/2108.12081 (2021) - [i15]Mohammad Rostami, Aram Galstyan:
Cognitively Inspired Learning of Incremental Drifting Concepts. CoRR abs/2110.04662 (2021) - 2020
- [i14]Mohammad Rostami, Aram Galstyan:
Sequential Unsupervised Domain Adaptation through Prototypical Distributions. CoRR abs/2007.00197 (2020) - [i13]Serban Stan, Mohammad Rostami:
Unsupervised Model Adaptation for Continual Semantic Segmentation. CoRR abs/2009.12518 (2020) - [i12]Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan:
One-shot Learning for Temporal Knowledge Graphs. CoRR abs/2010.12144 (2020) - 2019
- [i11]Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly:
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. CoRR abs/1903.04566 (2019) - [i10]Mohammad Rostami, Soheil Kolouri, James L. McClelland, Praveen K. Pilly:
Generative Continual Concept Learning. CoRR abs/1906.03744 (2019) - [i9]Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kyungnam Kim:
Zero-Shot Image Classification Using Coupled Dictionary Embedding. CoRR abs/1906.10509 (2019) - [i8]Alex Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim:
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. CoRR abs/1907.02271 (2019) - 2018
- [i7]Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann:
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR abs/1812.00265 (2018) - 2017
- [i6]Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim:
Joint Dictionaries for Zero-Shot Learning. CoRR abs/1709.03688 (2017) - [i5]Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton:
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. CoRR abs/1709.05412 (2017) - [i4]David Isele, Mohammad Rostami, Eric Eaton:
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. CoRR abs/1710.03850 (2017) - 2016
- [i3]Ning Hao, AmirReza Oghbaee, Mohammad Rostami, Nate Derbinsky, José Bento:
Testing fine-grained parallelism for the ADMM on a factor-graph. CoRR abs/1603.02526 (2016) - [i2]Mohammad Rostami, Zhou Wang:
Image Super-Resolution Based on Sparsity Prior via Smoothed l0 Norm. CoRR abs/1603.06680 (2016) - 2011
- [i1]Mohammad Rostami, Oleg V. Michailovich, Zhou Wang:
Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application. CoRR abs/1107.5790 (2011)
Coauthor Index
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