| 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 | 38 | 2019 |
| CUTIE: Beyond PetaOp/s/W ternary DNN inference acceleration with better-than-binary energy efficiency M Scherer, G Rutishauser, L Cavigelli, L Benini IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 25 | 2021 |
| QuantLab: A modular framework for training and deploying mixed-precision NNs M Spallanzani, G Rutishauser, M Scherer, A Burrello, F Conti, L Benini TinyML Summit, 2022 | 10 | 2022 |
| Colibries: A milliwatts risc-v based embedded system leveraging neuromorphic and neural networks hardware accelerators for low-latency closed-loop control applications G Rutishauser, R Hunziker, A Di Mauro, S Bian, L Benini, M Magno 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | 9 | 2023 |
| A 1036 TOp/s/W, 12.2 mW, 2.72 μJ/Inference All Digital TNN Accelerator in 22 nm FDX Technology for TinyML Applications M Scherer, A Di Mauro, G Rutishauser, T Fischer, L Benini 2022 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS), 1-3, 2022 | 9 | 2022 |
| Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2–8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing F Conti, G Paulin, A Garofalo, D Rossi, A Di Mauro, G Rutishauser, ... IEEE Journal of Solid-State Circuits, 2023 | 8 | 2023 |
| Free bits: Latency optimization of mixed-precision quantized neural networks on the edge G Rutishauser, F Conti, L Benini 2023 IEEE 5th International Conference on Artificial Intelligence Circuits …, 2023 | 7 | 2023 |
| Colibriuav: An ultra-fast, energy-efficient neuromorphic edge processing uav-platform with event-based and frame-based cameras S Bian, L Schulthess, G Rutishauser, A Di Mauro, L Benini, M Magno 2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI …, 2023 | 6 | 2023 |
| 7 μJ/inference end-to-end gesture recognition from dynamic vision sensor data using ternarized hybrid convolutional neural networks G Rutishauser, M Scherer, T Fischer, L Benini Future Generation Computer Systems 149, 717-731, 2023 | 5 | 2023 |
| Flexible and fully quantized ultra-lightweight tinyissimoyolo for ultra-low-power edge systems J Moosmann, H Mueller, N Zimmerman, G Rutishauser, L Benini, ... arXiv preprint arXiv:2307.05999, 2023 | 4 | 2023 |
| A 3 TOPS/W RISC-V parallel cluster for inference of fine-grain mixed-precision quantized neural networks A Nadalini, G Rutishauser, A Burrello, N Bruschi, A Garofalo, L Benini, ... 2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 1-6, 2023 | 4 | 2023 |
| Ternarized TCN for Gesture Recognition from DVS Event Frames G Rutishauser, M Scherer, T Fischer, L Benini 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 736-741, 2022 | 4 | 2022 |
| TCN-CUTIE: A 1,036-TOp/s/W, 2.72-µJ/Inference, 12.2-mW All-Digital Ternary Accelerator in 22-nm FDX Technology M Scherer, A Di Mauro, T Fischer, G Rutishauser, L Benini IEEE Micro 43 (1), 42-48, 2022 | 3 | 2022 |
| An on-the-fly feature map compression engine for background memory access cost reduction in dnn inference G Rutishauser, LAJ Cavigelli, L Benini ETH Zurich, 2020 | 1 | 2020 |
| xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems G Rutishauser, J Mihali, M Scherer, L Benini arXiv preprint arXiv:2405.19065, 2024 | | 2024 |
| Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems J Moosmann, H Müller, N Zimmerman, G Rutishauser, L Benini, M Magno IEEE Access, 2024 | | 2024 |
| Kraken: An Open-Source RISC-V SoC for Ultra-Low Power Multi-Modal Perception V Potocnik, A Di Mauro, C Leitner, M Scherer, G Rutishauser, L Lamberti, ... | | 2024 |
| Combining Local and Global Perception for Autonomous Navigation on Nano-UAVs L Lamberti, G Rutishauser, F Conti, L Benini arXiv preprint arXiv:2403.11661, 2024 | | 2024 |
| Agile and Efficient Inference of Quantized Neural Networks G Rutishauser ETH Zurich, 2024 | | 2024 |
| ColibriUAV: Towards an Ultra-Fast, Energy-Efficient Neuromorphic edge-processing platform UAV with Event-Based and Frame-Based Cameras S Bian, L Schulthess, G Rutishauser, A Di Mauro, L Benini, M Magno | | 2023 |
