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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
196
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.
constrained artificial neural networks
9.
Constrained neural networks
10.
convolutional neural networks
11.
convolutional neural networks (CNNa)
12.
Convolutional Neural Networks (CNNs)
13.
Fuzzy neural networks
14.
graph neural networks
15.
multilayer neural networks
16.
neural networks
17.
neural-networks
18.
pre-trained neural networks
19.
recurrent neural networks
20.
recurrent neural networks (RNN)
21.
deep donor-deep acceptor pairs
22.
deep brain stimulation
23.
Deep defects
24.
deep energy levels
25.
deep energy renovation
26.
deep eutectic solvents
27.
deep fake
28.
deep fake recognition
29.
deep habits
30.
deep heat well
31.
deep inference
32.
deep layer
33.
deep learning
34.
deep learning (DL)
35.
deep learning classifier
36.
deep learning method
37.
deep learning methods
38.
deep learning model
39.
deep learning model quantization
40.
deep learning network
41.
deep level
42.
deep level traps
43.
deep levels
44.
deep offshore
45.
deep packet inspection
46.
deep reinforcement learning
47.
Deep reinforcing learning SDN
48.
deep renovation
49.
deep understanding
50.
Deep-learning
51.
deep-learning (DL)
52.
deep-sea mining
53.
embedded deep learning
54.
natural deep eutectic solvents
55.
nZEB deep energy renovation
56.
nZEB deep renovation
57.
artificial neural network
58.
Binarized Neural Network (BNN)
59.
cascaded forward neural network (CFNN)
60.
Convolutional Neural Network
61.
convolutional neural network (CNN)
62.
feedforward neural network (FFNN)
63.
Graph Convolutional Neural Network (GCN)
64.
GraphSAGE (Graph Based Neural Network)
65.
human neural progenitor cells
66.
linear Delta robots neural network based model
67.
LSTM neural network
68.
neural activity
69.
neural additive model
70.
neural architecture search
71.
neural controller
72.
neural development
73.
neural fuzzy modelling control
74.
neural machine translation
75.
neural net
76.
neural net architecture
77.
neural network
78.
neural network architecture search
79.
neural network controller
80.
neural network modelling
81.
neural network positioning algorithms
82.
neural network predictive controller
83.
neural oscillations
84.
neural processing unit
85.
neural stimulation
86.
Radial Basis Function Neural Network (RBFNN)
87.
recurrent neural network language model
88.
Residual Neural Network
89.
spiking neural network (SNN)
90.
Ternary Neural Network
91.
transformer-based neural network
92.
adaptive networks
93.
ad-hoc sensor networks security
94.
automotive communication networks
95.
Bayesian Belief Networks
96.
Bayesian networks
97.
binary search networks
98.
binary sensor networks
99.
body area networks
100.
body sensor networks
101.
cellular networks
102.
communication networks
103.
communications engineering, networks
104.
complex networks
105.
computer networks
106.
content distribution networks
107.
content-addressable storage networks
108.
convolutional networks
109.
cross-border communication networks
110.
decentralized content-addressable storage (DCAS) networks
111.
developmental networks
112.
diffusion networks
113.
digital twin networks (DTNs)
114.
distribution networks
115.
district heating networks
116.
Dynamic networks
117.
dynamics over networks
118.
ecological networks
119.
economic networks
120.
electric power transmission networks
121.
electrical distribution networks
122.
electrical networks
123.
embedded networks/NoC
124.
gateways (computer networks)
125.
generative adversarial networks
126.
geodetic networks
127.
global production networks
128.
graph attention networks
129.
graph convolutional networks
130.
heating and cooling networks
131.
heating networks
132.
hypar-formed networks
133.
IaaS cloud networks
134.
Impedance-source networks
135.
innovation networks
136.
IP networks
137.
iterative networks
138.
knowledge networks
139.
location-based social networks
140.
logistics networks
141.
Long Short-Term Memory Networks (LSTMs)
142.
low voltage networks
143.
low-voltage networks
144.
lumped parameter networks
145.
marketing networks
146.
metabolic networks and pathways
147.
mobile actuator-sensor networks (MAS-Net)
148.
multilayer networks
149.
NB-IoT networks
150.
networks
151.
networks coding
152.
neuro-fuzzy networks and guided missile
153.
non-terrestrial networks
154.
observational networks
155.
on-body networks (BANs)
156.
Online social networks
157.
Optical fiber networks
158.
optical fibre networks
159.
optical networks
160.
optimized routing approach for critical and emergency networks
161.
optimized routing approach for critical and emergency networks simulations
162.
packet switched networks
163.
partner networks
164.
Passive networks
165.
phantom cellular networks
166.
private networks
167.
production networks
168.
Public safety networks
169.
public safety networks (PSN)
170.
public safety networks (PSNs)
171.
reconfigurable scan networks
172.
regional innovation networks
173.
scale-free networks
174.
sensor networks
175.
small district heating networks
176.
SME networks
177.
social networks
178.
social networks
179.
software defined networks (SDN)
180.
sorting networks
181.
supply networks
182.
transmission networks
183.
unreliable wireless networks
184.
WBANs (wireless body area networks)
185.
wearable wireless networks
186.
wearable wireless networks (WWNs)
187.
weighted networks
188.
wireless ad hoc sensor networks
189.
Wireless Body Area Networks
190.
wireless body area networks (WBANs)
191.
wireless body-to-body networks (BBN)
192.
wireless networks
193.
wireless sensor networks
194.
virtual networks
195.
5G networks
196.
5G networks
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