| 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 | 464 | 2017 |
| 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 | 273 | 2017 |
| 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 | 235 | 2016 |
| 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 | 192 | 2017 |
| 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 | 178 | 2015 |
| 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 | 177 | 2017 |
| 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 | 129 | 2015 |
| 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 | 113 | 2020 |
| 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 | 95 | 2016 |
| 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 | 65 | 2020 |
| 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 | 57 | 2019 |
| 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 | 53 | 2018 |
| 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 | 49 | 2018 |
| 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 | 48 | 2017 |
| 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 | 43 | 2018 |
| 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 | 36 | 2017 |
| Efficient convolutional neural network for audio event detection M Meyer, L Cavigelli, L Thiele arXiv preprint arXiv:1709.09888, 2017 | 29 | 2017 |
| 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 | 27 | 2020 |
| 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 | 27 | 2019 |
| CBinfer: Exploiting frame-to-frame locality for faster convolutional network inference on video streams L Cavigelli, L Benini IEEE Transactions on Circuits and Systems for Video Technology 30 (5), 1451-1465, 2019 | 25 | 2019 |
Luca BeniniETH Zürich, Università di BolognaVerified email at unibo.it
