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1
journal article
AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN Accelerators
Taheri, Mahdi
;
Cherezova, Natalia
;
Nazari, Samira
;
Azarpeyvand, Ali
;
Ghasempouri, Tara
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Jenihhin, Maksim
IEEE transactions on device and materials reliability
2024
/
p. 66-75 : ill
https://doi.org//10.1109/TDMR.2024.3523386
journal article
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
2
book article EST
/
book article ENG
AdAM: adaptive fault-tolerant approximate multiplier for edge DNN accelerators
Taheri, Mahdi
;
Cherezova, Natalia
;
Nazari, Samira
;
Rafiq, Ahsan
;
Azarpeyvand, Ali
;
Ghasempouri, Tara
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Jenihhin, Maksim
2024 IEEE European Test Symposium (ETS): ETS 2024 : May 20-24, 2024, The Hague, Netherlands : proceedings
2024
https://doi.org/10.1109/ETS61313.2024.10567161
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
3
book article
Challenges in using neural networks in safety-critical applications
Forsberg, H.
;
Linden, Jan
;
Hjorth, J.
;
Manefjord, T.
;
Daneshtalab, Masoud
AIAA/IEEE Digital Avionics Systems Conference - Proceedings,
2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings
2020
/
7 p
https://doi.org/10.1109/DASC50938.2020.9256519
book article
4
book article
Composing graph theory and deep neural networks to evaluate SEU type soft error effects
Balakrishnan, Aneesh
;
Lange, Thomas
;
Glorieux, Maximilien
;
Alexandrescu, Dan
;
Jenihhin, Maksim
9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 2020
2020
https://doi.org/10.1109/MECO49872.2020.9134279
book article
Related publications
1
A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
5
book article EST
/
book article ENG
Data augmentation and teacher-student training for LF-MMI based robust speech recognition
Ullah, Asad
;
Alumäe, Tanel
Text, Speech, and Dialogue : 21st International Conference, TSD 2018, Brno, Czech Republic, September 11-14, 2018 : proceedings
2018
/
p. 403-410
https://doi.org/10.1007/978-3-030-00794-2_43
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
6
book article
DeepAxe : a framework for exploration of approximation and reliability trade-offs in DNN accelerators
Taheri, Mahdi
;
Riazati, Mohamad
;
Ahmadilivani, Mohammad Hasan
;
Jenihhin, Maksim
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Sjödin, Mikael
;
Lisper, Björn
2023 24th International Symposium on Quality Electronic Design (ISQED)
2023
/
8 p. : ill
https://doi.org/10.1109/ISQED57927.2023.10129353
book article
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
7
book article
DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGA
Riazati, Mohammad
;
Daneshtalab, Masoud
;
Sjodin, Mikael
;
Lisper, Bjorn
ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, November 23-25, 2020, Virtual Conference : Proceedings
2020
/
4 p
https://doi.org/10.1109/ICECS49266.2020.9294881
book article
8
book article EST
/
book article ENG
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators
Taheri, Mahdi
;
Cherezova, Natalia
;
Ansari, Mohammad Saeed
;
Jenihhin, Maksim
;
Mahani, Ali
;
Daneshtalab, Masoud
;
Raik, Jaan
Proceedings of the Twenty Fifth International Symposium on Quality ElectronicDesign : ISQED 2024
2024
/
8 p. : ill
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10528372
https://doi.org/10.1109/ISQED60706.2024.10528372
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
9
book article EST
/
book article ENG
FARMUR: fair adversarial retraining to mitigate unfairness in robustness
Mousavi, Seyed Ali
;
Mousavi, Hamid
;
Daneshtalab, Masoud
Advances in Databases and Information Systems: 27th European Conference, ADBIS 2023, Barcelona, Spain, September 4–7, 2023 : proceedings
2023
/
p. 133-145
https://doi.org/10.1007/978-3-031-42914-9_10
Conference proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
10
book article EST
/
book article ENG
FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNs
Nazari, Samira
;
Taheri, Mahdi
;
Azarpeyvand, Ali
;
Afsharchi, Mohsen
;
Ghasempouri, Tara
;
Herglotz, Christian
;
Daneshtalab, Masoud
;
Jenihhin, Maksim
2024 IEEE 33rd Asian Test Symposium (ATS)
2024
/
p. 1-6 : ill
https://doi.org//10.1109/ATS64447.2024.10915463
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
11
book article
Gate-level graph representation learning : a step towards the improved stuck-at faults analysis
Balakrishnan, Aneesh
;
Alexandrescu, Dan
;
Jenihhin, Maksim
;
Lange, Thomas
;
Glorieux, Maximilien
Proceedings of the Twenty Second International Symposium on Quality Electronic Design (ISQED) : Santa Clara, USA, 7-9 April 2021
2021
/
p. 24-30
https://doi.org/10.1109/ISQED51717.2021.9424256
book article
Related publications
1
A synthetic, hierarchical approach for modelling and managing complex systems' quality and reliability = Sünteetiline, hierarhiline lähenemine keerukate süsteemide kvaliteedi ja töökindluse modelleerimiseks ja haldamiseks
12
book article EST
/
book article ENG
Heterogeneous Approximation of DNN HW Accelerators based on Channels Vulnerability
Cherezova, Natalia
;
Pappalardo, Salvatore
;
Taheri, Mahdi
;
Ahmadilivani, Mohammad Hasan
;
Deveautour, Bastien
;
Bosio, Alberto
;
Raik, Jaan
;
Jenihhin, Maksim
2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC)
2024
/
4 p. : ill
https://doi.org//10.1109/VLSI-SoC62099.2024.10767798
Conference proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
13
book article
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators
Taheri, Mahdi
;
Daneshtalab, Masoud
;
Raik, Jaan
;
Jenihhin, Maksim
;
Pappalardo, Salvatore
;
Jimenez, Paul
;
Deveautour, Bastien
;
Bosio, Alberto
2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS) : 03-05 April 2024, Kielce, Poland
2024
/
p. 19–24 : ill
https://doi.org//10.1109/DDECS60919.2024.10508925
book article
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
14
book article EST
/
book article ENG
Special session : approximation and fault resiliency of DNN accelerators
Ahmadilivani, Mohammad Hasan
;
Barbareschi, Mario
;
Barone, Salvatore
;
Bosio, Alberto
;
Daneshtalab, Masoud
;
Torca, Salvatore Della
;
Gavarini, Gabriele
;
Jenihhin, Maksim
;
Raik, Jaan
;
Taheri, Mahdi
2023 IEEE 41st VLSI Test Symposium (VTS) : proceedings
2023
/
10 p. : ill
https://doi.org/10.1109/VTS56346.2023.10140043
Conference proceeding at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
15
book article EST
/
book article ENG
Special session: reliability assessment recipes for DNN accelerators
Ahmadilivani, Mohammad Hasan
;
Bosio, Alberto
;
Deveautour, Bastien
;
Dos Santos, Fernando Fernandes
;
Guerrero-Balaguera, Juan-David
;
Jenihhin, Maksim
;
Kritikakou, Angeliki
;
Sierra, Robert Limas
;
Raik, Jaan
;
Taheri, Mahdi
42nd IEEE VLSI Test Symposium, VTS 2024
2024
/
11 p. : ill
https://doi.org/10.1109/VTS60656.2024.10538707
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Related publications
1
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
16
journal article EST
/
journal article ENG
A systematic literature review on hardware reliability assessment methods for deep neural networks
Ahmadilivani, Mohammad Hasan
;
Taheri, Mahdi
;
Raik, Jaan
;
Daneshtalab, Masoud
;
Jenihhin, Maksim
ACM Computing Surveys
2024
/
art. 141, 39 p. : ill
https://doi.org/10.1145/3638242
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
2
Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks
Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine
17
book article EST
/
book article ENG
ZED-TTE: Zone embedding and deep neural network based travel time estimation approach
Ounoughi, Chahinez
;
Yeferny, Taoufik
;
Ben Yahia, Sadok
2021 International Joint Conference on Neural Networks (IJCNN) : proceedings
2021
/
10 p
https://doi.org/10.1109/IJCNN52387.2021.9533456
Conference Proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
Number of records 17, displaying
1 - 17
keyword
199
1.
deep neural networks
2.
deep neural networks (DNNs)
3.
deep convolutional neural network
4.
deep neural network
5.
deep neural network compression
6.
artificial neural networks
7.
artificial neural networks (ANN)
8.
Biological neural networks
9.
constrained artificial neural networks
10.
Constrained neural networks
11.
convolutional neural networks
12.
convolutional neural networks (CNNa)
13.
Convolutional Neural Networks (CNNs)
14.
Fuzzy neural networks
15.
graph neural networks
16.
multilayer neural networks
17.
neural networks
18.
neural-networks
19.
pre-trained neural networks
20.
recurrent neural networks
21.
recurrent neural networks (RNN)
22.
deep donor-deep acceptor pairs
23.
deep brain stimulation
24.
Deep defects
25.
deep energy levels
26.
deep energy renovation
27.
deep eutectic solvents
28.
deep fake
29.
deep fake recognition
30.
deep habits
31.
deep heat well
32.
deep inference
33.
deep layer
34.
deep learning
35.
deep learning (DL)
36.
deep learning classifier
37.
deep learning method
38.
deep learning methods
39.
deep learning model
40.
deep learning model quantization
41.
deep learning network
42.
deep level
43.
deep level traps
44.
deep levels
45.
deep offshore
46.
deep packet inspection
47.
deep reinforcement learning
48.
Deep reinforcing learning SDN
49.
deep renovation
50.
deep understanding
51.
Deep-learning
52.
deep-learning (DL)
53.
deep-sea mining
54.
embedded deep learning
55.
natural deep eutectic solvents
56.
nZEB deep energy renovation
57.
nZEB deep renovation
58.
artificial neural network
59.
Binarized Neural Network (BNN)
60.
cascaded forward neural network (CFNN)
61.
Convolutional Neural Network
62.
convolutional neural network (CNN)
63.
feedforward neural network (FFNN)
64.
Graph Convolutional Neural Network (GCN)
65.
GraphSAGE (Graph Based Neural Network)
66.
human neural progenitor cells
67.
linear Delta robots neural network based model
68.
LSTM neural network
69.
neural activity
70.
neural additive model
71.
neural architecture search
72.
neural controller
73.
neural development
74.
neural fuzzy modelling control
75.
neural machine translation
76.
neural net
77.
neural net architecture
78.
neural network
79.
neural network architecture search
80.
neural network controller
81.
neural network modelling
82.
neural network positioning algorithms
83.
neural network predictive controller
84.
neural oscillations
85.
neural processing unit
86.
neural stimulation
87.
Radial Basis Function Neural Network (RBFNN)
88.
recurrent neural network language model
89.
Residual Neural Network
90.
spiking neural network (SNN)
91.
Ternary Neural Network
92.
transformer-based neural network
93.
adaptive networks
94.
ad-hoc sensor networks security
95.
automotive communication networks
96.
Bayesian Belief Networks
97.
Bayesian networks
98.
binary search networks
99.
binary sensor networks
100.
body area networks
101.
body sensor networks
102.
cellular networks
103.
communication networks
104.
communications engineering, networks
105.
complex networks
106.
computer networks
107.
content distribution networks
108.
content-addressable storage networks
109.
convolutional networks
110.
cross-border communication networks
111.
decentralized content-addressable storage (DCAS) networks
112.
developmental networks
113.
diffusion networks
114.
digital twin networks (DTNs)
115.
distribution networks
116.
district heating networks
117.
Dynamic networks
118.
Dynamics of networks
119.
dynamics over networks
120.
ecological networks
121.
economic networks
122.
electric power transmission networks
123.
electrical distribution networks
124.
electrical networks
125.
embedded networks/NoC
126.
gateways (computer networks)
127.
generative adversarial networks
128.
geodetic networks
129.
global production networks
130.
graph attention networks
131.
graph convolutional networks
132.
heating and cooling networks
133.
heating networks
134.
hypar-formed networks
135.
IaaS cloud networks
136.
Impedance-source networks
137.
innovation networks
138.
IP networks
139.
iterative networks
140.
knowledge networks
141.
location-based social networks
142.
logistics networks
143.
Long Short-Term Memory Networks (LSTMs)
144.
low voltage networks
145.
low-voltage networks
146.
LSTM networks
147.
lumped parameter networks
148.
marketing networks
149.
metabolic networks and pathways
150.
mobile actuator-sensor networks (MAS-Net)
151.
multilayer networks
152.
NB-IoT networks
153.
networks
154.
networks coding
155.
neuro-fuzzy networks and guided missile
156.
non-terrestrial networks
157.
observational networks
158.
on-body networks (BANs)
159.
Online social networks
160.
Optical fiber networks
161.
optical fibre networks
162.
optical networks
163.
optimized routing approach for critical and emergency networks
164.
optimized routing approach for critical and emergency networks simulations
165.
packet switched networks
166.
partner networks
167.
Passive networks
168.
phantom cellular networks
169.
private networks
170.
production networks
171.
Public safety networks
172.
public safety networks (PSN)
173.
public safety networks (PSNs)
174.
reconfigurable scan networks
175.
regional innovation networks
176.
scale-free networks
177.
sensor networks
178.
small district heating networks
179.
SME networks
180.
social networks
181.
social networks
182.
software defined networks (SDN)
183.
sorting networks
184.
supply networks
185.
transmission networks
186.
unreliable wireless networks
187.
WBANs (wireless body area networks)
188.
wearable wireless networks
189.
wearable wireless networks (WWNs)
190.
weighted networks
191.
wireless ad hoc sensor networks
192.
Wireless Body Area Networks
193.
wireless body area networks (WBANs)
194.
wireless body-to-body networks (BBN)
195.
wireless networks
196.
wireless sensor networks
197.
virtual networks
198.
5G networks
199.
5G networks
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