• AdAM: adaptive fault-tolerant approximate multiplier for edge DNN acceleratorsTaheri, Mahdi; Cherezova, Natalia; Nazari, Samira; Rafiq, Ahsan; Azarpeyvand, Ali; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, Maksim2024 IEEE European Test Symposium (ETS): ETS 2024 : May 20-24, 2024, The Hague, Netherlands : proceedings2024 https://doi.org/10.1109/ETS61313.2024.10567161 https://www.scopus.com/sourceid/21100395950 https://www.scopus.com/record/display.uri?eid=2-s2.0-85197518684&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FETS61313.2024.10567161%29&sessionSearchId=2694adcfded71cf12565f4df31de58f5&relpos=0 https://www.webofscience.com/wos/woscc/full-record/WOS:001260970400008
• Challenges in using neural networks in safety-critical applicationsForsberg, H.; Linden, Jan; Hjorth, J.; Manefjord, T.; Daneshtalab, MasoudAIAA/IEEE Digital Avionics Systems Conference - Proceedings, 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings2020 / 7 p https://doi.org/10.1109/DASC50938.2020.9256519
• Composing graph theory and deep neural networks to evaluate SEU type soft error effectsBalakrishnan, Aneesh; Lange, Thomas; Glorieux, Maximilien; Alexandrescu, Dan; Jenihhin, Maksim9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 20202020 https://doi.org/10.1109/MECO49872.2020.9134279
• Data augmentation and teacher-student training for LF-MMI based robust speech recognitionUllah, Asad; Alumäe, TanelText, Speech, and Dialogue : 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018 : proceedings2018 / p. 403-410 https://doi.org/10.1007/978-3-030-00794-2_43 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85053877008&origin=inward&txGid=07fddea3b512509b9363e01172a9a0d9 https://www.webofscience.com/wos/woscc/full-record/WOS:000611532300043
• DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN acceleratorsTaheri, Mahdi; Riazati, Mohamad; Ahmadilivani, Mohammad Hasan; Jenihhin, Maksim; Daneshtalab, Masoud; Raik, Jaan; Sjödin, Mikael; Lisper, BjörnarXiv.org2023 / 8 p. : ill https://doi.org/10.48550/arXiv.2303.08226
• DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGARiazati, Mohammad; Daneshtalab, Masoud; Sjodin, Mikael; Lisper, BjornICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings2020 / 4 p https://doi.org/10.1109/ICECS49266.2020.9294881
• FARMUR: fair adversarial retraining to mitigate unfairness in robustnessMousavi, Seyed Ali; Mousavi, Hamid; Daneshtalab, MasoudAdvances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings2023 / p. 133-145 https://doi.org/10.1007/978-3-031-42914-9_10 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85190517138&origin=inward&txGid=d37dc9a1c5aa19f558a625f60a5071da
• Gate-level graph representation learning : a step towards the improved stuck-at faults analysisBalakrishnan, Aneesh; Alexandrescu, Dan; Jenihhin, Maksim; Lange, Thomas; Glorieux, MaximilienProceedings of the Twenty Second International Symposium on Quality Electronic Design (ISQED) : Santa Clara, USA, 7-9 April 20212021 / p. 24-30 https://doi.org/10.1109/ISQED51717.2021.9424256
• Special session : approximation and fault resiliency of DNN acceleratorsAhmadilivani, Mohammad Hasan; Barbareschi, Mario; Barone, Salvatore; Bosio, Alberto; Daneshtalab, Masoud; Torca, Salvatore Della; Gavarini, Gabriele; Jenihhin, Maksim; Raik, Jaan; Taheri, MahdiProceedings 2023 IEEE 41st VLSI Test Symposium (VTS)2023 / 10 p. : ill https://doi.org/10.1109/VTS56346.2023.10140043 https://www.scopus.com/sourceid/14939 https://www.scopus.com/record/display.uri?eid=2-s2.0-85161889760&origin=inward&txGid=7246f38058a8b9b32768d1928b8eec68 https://www.webofscience.com/wos/woscc/full-record/WOS:001011806600022
• Special session: reliability assessment recipes for DNN acceleratorsAhmadilivani, Mohammad Hasan; Bosio, Alberto; Deveautour, Bastien; Dos Santos, Fernando Fernandes; Guerrero-Balaguera, Juan-David; Jenihhin, Maksim; Kritikakou, Angeliki; Sierra, Robert Limas; Raik, Jaan; Taheri, Mahdi42nd IEEE VLSI Test Symposium, VTS 20242024 / 11 p. : ill https://doi.org/10.1109/VTS60656.2024.10538707 https://www.scopus.com/sourceid/14939 https://www.scopus.com/record/display.uri?eid=2-s2.0-85195242212&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22Special+Session%3A+Reliability+Assessment+Recipes+for+DNN+Accelerators%22%29&sessionSearchId=f53bb18a788748acab088b0e35200e2d&relpos=0 https://www.webofscience.com/wos/woscc/full-record/WOS:001239933000019
• A systematic literature review on hardware reliability assessment methods for deep neural networksAhmadilivani, Mohammad Hasan; Taheri, Mahdi; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimACM Computing Surveys2024 / art. 141 https://doi.org/10.1145/3638242 https://www.scopus.com/sourceid/23038 https://www.scopus.com/record/display.uri?eid=2-s2.0-85188964919&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1145%2F3638242%29&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ACM%20COMPUT%20SURV&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001208566200007
• ZED-TTE: Zone embedding and deep neural network based travel time estimation approachOunoughi, Chahinez; Yeferny, Taoufik; Ben Yahia, Sadok2021 International Joint Conference on Neural Networks (IJCNN) : proceedings2021 / 10 p https://doi.org/10.1109/IJCNN52387.2021.9533456 https://www.scopus.com/sourceid/96537 https://www.scopus.com/record/display.uri?eid=2-s2.0-85116481508&origin=inward&txGid=f483e4d712e5fa9a06a7dfdc6372c721 https://www.webofscience.com/wos/woscc/full-record/WOS:000722581701046