Seuraa
Lukas Cavigelli
Lukas Cavigelli
Principal Researcher, Huawei Technologies
Vahvistettu sähköpostiosoite verkkotunnuksessa huawei.com
Nimike
Viittaukset
Viittaukset
Vuosi
Soft-to-hard vector quantization for end-to-end learning compressible representations
E Agustsson, F Mentzer, M Tschannen, L Cavigelli, R Timofte, L Benini, ...
Advances in Neural Information Processing Systems 30, 2017
6092017
YodaNN: An architecture for ultralow power binary-weight CNN acceleration
R Andri, L Cavigelli, D Rossi, L Benini
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017
3262017
YodaNN: An ultra-low power convolutional neural network accelerator based on binary weights
R Andri, L Cavigelli, D Rossi, L Benini
2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 236-241, 2016
2712016
CAS-CNN: A deep convolutional neural network for image compression artifact suppression
L Cavigelli, P Hager, L Benini
2017 International Joint Conference on Neural Networks (IJCNN), 752-759, 2017
2332017
Origami: A 803-gop/s/w convolutional network accelerator
L Cavigelli, L Benini
IEEE Transactions on Circuits and Systems for Video Technology 27 (11), 2461 …, 2017
2212017
EEG-TCNet: An accurate temporal convolutional network for embedded motor-imagery brain–machine interfaces
TM Ingolfsson, M Hersche, X Wang, N Kobayashi, L Cavigelli, L Benini
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
2182020
Origami: A convolutional network accelerator
L Cavigelli, D Gschwend, C Mayer, S Willi, B Muheim, L Benini
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, 199-204, 2015
1922015
FANN-on-MCU: An open-source toolkit for energy-efficient neural network inference at the edge of the Internet of Things
X Wang, M Magno, L Cavigelli, L Benini
IEEE Internet of Things Journal 7 (5), 4403-4417, 2020
1612020
Accelerating real-time embedded scene labeling with convolutional networks
L Cavigelli, M Magno, L Benini
Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015
1332015
InfiniTime: Multi-sensor wearable bracelet with human body harvesting
M Magno, D Brunelli, L Sigrist, R Andri, L Cavigelli, A Gomez, L Benini
Sustainable Computing: Informatics and Systems 11, 38-49, 2016
1102016
Laelaps: An energy-efficient seizure detection algorithm from long-term human iEEG recordings without false alarms
A Burrello, L Cavigelli, K Schindler, L Benini, A Rahimi
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 752-757, 2019
912019
Fast and accurate multiclass inference for MI-BCIs using large multiscale temporal and spectral features
M Hersche, T Rellstab, PD Schiavone, L Cavigelli, L Benini, A Rahimi
2018 26th European Signal Processing Conference (EUSIPCO), 1690-1694, 2018
662018
Cbinfer: Change-based inference for convolutional neural networks on video data
L Cavigelli, P Degen, L Benini
Proceedings of the 11th international conference on distributed smart …, 2017
612017
XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks
A Al Bahou, G Karunaratne, R Andri, L Cavigelli, L Benini
2018 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS), 1-3, 2018
602018
Chipmunk: A systolically scalable 0.9 mm2, 3.08Gop/s/mW @ 1.2 mW accelerator for near-sensor recurrent neural network inference
F Conti, L Cavigelli, G Paulin, I Susmelj, L Benini
2018 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2018
542018
Design and evaluation of a low-power sensor device for induced rockfall experiments
A Caviezel, M Schaffner, L Cavigelli, P Niklaus, Y Bühler, P Bartelt, ...
IEEE Transactions on Instrumentation and Measurement 67 (4), 767-779, 2017
512017
Sound event detection with binary neural networks on tightly power-constrained IoT devices
G Cerutti, R Andri, L Cavigelli, E Farella, M Magno, L Benini
Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020
462020
A “new ara” for vector computing: An open source highly efficient risc-v v 1.0 vector processor design
M Perotti, M Cavalcante, N Wistoff, R Andri, L Cavigelli, L Benini
2022 IEEE 33rd International Conference on Application-specific Systems …, 2022
452022
EBPC: Extended bit-plane compression for deep neural network inference and training accelerators
L Cavigelli, G Rutishauser, L Benini
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (4 …, 2019
412019
The relevance of rock shape over mass—implications for rockfall hazard assessments
A Caviezel, A Ringenbach, SE Demmel, CE Dinneen, N Krebs, Y Bühler, ...
Nature communications 12 (1), 5546, 2021
402021
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