Lukas Cavigelli

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 86

Top Topics

Efficient Inference

Vector Quantization

Keyword Spotting

Top Venues

Publications

Theocharis Theocharides, Charlotte Frenkel, Lukas Cavigelli
Introduction to the Special Issue on tinyML. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Matteo Perotti, Matheus A. Cavalcante, Renzo Andri, Lukas Cavigelli, Luca Benini
Ara2: Exploring Single- and Multi-Core Vector Processing With an Efficient RVV 1.0 Compliant Open-Source Processor. IEEE Trans. Computers 73 (7) (2024)
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. AICAS (2024)
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. CoRR (2024)
Cristian Cioflan, Lukas Cavigelli, Luca Benini
Boosting keyword spotting through on-device learnable user speech characteristics. CoRR (2024)
Aritra Dhar, Clément Thorens, Lara Magdalena Lazier, Lukas Cavigelli
Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads. CoRR (2024)
Enrico Reggiani, Renzo Andri, Lukas Cavigelli
Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation. DAC (2023)
Luzian Lebovitz, Lukas Cavigelli, Michele Magno, Lorenz K. Müller
Efficient Inference With Model Cascades. Trans. Mach. Learn. Res. 2023 (2023)
Georgios Zacharopoulos, Ilias Bournias, Verner Vlacic, Lukas Cavigelli
ReDSEa: Automated Acceleration of Triangular Solver on Supercloud Heterogeneous Systems. CoRR (2023)
Antoine Scardigli, Lukas Cavigelli, Lorenz K. Müller
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing. CoRR (2023)
Antoine Scardigli, Lukas Cavigelli, Lorenz K. Müller
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing. NeurIPS (2023)
Enrico Reggiani, Renzo Andri, Lukas Cavigelli
Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation. CoRR (2023)
Jannis Schönleber, Lukas Cavigelli, Renzo Andri, Matteo Perotti, Luca Benini
Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication. CoRR (2023)
Matteo Perotti, Matheus A. Cavalcante, Renzo Andri, Lukas Cavigelli, Luca Benini
Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor. CoRR (2023)
Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (5) (2022)
Matteo Perotti, Matheus A. Cavalcante, Nils Wistoff, Renzo Andri, Lukas Cavigelli, Luca Benini
A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design. ASAP (2022)
Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference. CoRR (2022)
Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (4) (2022)
Renzo Andri, Beatrice Bussolino, Antonio Cipolletta, Lukas Cavigelli, Zhe Wang
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tiles. MICRO (2022)
Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini
Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. CoRR (2022)
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. AICAS (2022)
Renzo Andri, Beatrice Bussolino, Antonio Cipolletta, Lukas Cavigelli, Zhe Wang
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile. CoRR (2022)
Matteo Perotti, Matheus A. Cavalcante, Nils Wistoff, Renzo Andri, Lukas Cavigelli, Luca Benini
A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design. CoRR (2022)
Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini
Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (1) (2022)
Xiaying Wang, Lukas Cavigelli, Tibor Schneider, Luca Benini
Sub-100 $\mu$W Multispectral Riemannian Classification for EEG-Based Brain-Machine Interfaces. IEEE Trans. Biomed. Circuits Syst. 15 (6) (2021)
Xiaying Wang, Tibor Schneider, Michael Hersche, Lukas Cavigelli, Luca Benini
Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain-Machine Interfaces. ISCAS (2021)
Xavier Timoneda, Lukas Cavigelli
Late Breaking Results: Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks. DAC (2021)
Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. AICAS (2021)
Xavier Timoneda, Lukas Cavigelli
Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks. CoRR (2021)
Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. CoRR (2021)
Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. ISCAS (2021)
Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini
Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices. CoRR (2021)
Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, Nobuaki Kobayashi, Lukas Cavigelli, Luca Benini
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. CoRR (2020)
Michele Magno, Xiaying Wang, Manuel Eggimann, Lukas Cavigelli, Luca Benini
InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting. DATE (2020)
Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. CoRR (2020)
Lukas Cavigelli, Luca Benini
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks. CoRR (2020)
Lukas Cavigelli, Luca Benini
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams. IEEE Trans. Circuits Syst. Video Technol. 30 (5) (2020)
Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. IEEE Internet Things J. 7 (5) (2020)
Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini
Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. SMARTCOMP (2020)
Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Elisabetta Farella, Michele Magno, Luca Benini
Sound event detection with binary neural networks on tightly power-constrained IoT devices. ISLPED (2020)
Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini
ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. CoRR (2020)
Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini
CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency. CoRR (2020)
Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, Nobuaki Kobayashi, Lukas Cavigelli, Luca Benini
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. SMC (2020)
Matteo Spallanzani, Lukas Cavigelli, Gian Paolo Leonardi, Marko Bertogna, Luca Benini
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks. CoRR (2019)
Michele Magno, Lukas Sigrist, Andres Gomez, Lukas Cavigelli, Antonio Libri, Emanuel M. Popovici, Luca Benini
SmarTEG: An Autonomous Wireless Sensor Node for High Accuracy Accelerometer-Based Monitoring. Sensors 19 (12) (2019)
Lukas Cavigelli, Georg Rutishauser, Luca Benini
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. CoRR (2019)
Lukas Cavigelli, Luca Benini
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators. AICAS (2019)
Alessio Burrello, Lukas Cavigelli, Kaspar Schindler, Luca Benini, Abbas Rahimi
Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms. DATE (2019)
Lukas Cavigelli, Georg Rutishauser, Luca Benini
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (4) (2019)
Michele Magno, Lukas Cavigelli, Philipp Mayer, Ferdinand von Hagen, Luca Benini
FANNCortexM: An Open Source Toolkit for Deployment of Multi-layer Neural Networks on ARM Cortex-M Family Microcontrollers : Performance Analysis with Stress Detection. WF-IoT (2019)
Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine. IEEE J. Emerg. Sel. Topics Circuits Syst. 9 (2) (2019)
Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. CoRR (2019)
Xiaying Wang, Lukas Cavigelli, Manuel Eggimann, Michele Magno, Luca Benini
HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data. CoRR (2019)
Andrin Caviezel, Michael Schaffner, Lukas Cavigelli, Pascal Niklaus, Yves Bühler, Perry Bartelt, Michele Magno, Luca Benini
Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments. IEEE Trans. Instrum. Meas. 67 (4) (2018)
Manuel Eggimann, Christelle Gloor, Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, Aljosa Smolic, Luca Benini
Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS. ISCAS (2018)
Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes. CoRR (2018)
Lukas Cavigelli, Luca Benini
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams. CoRR (2018)
Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini
Rat Cortical Layers Classification extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor. HealthCom (2018)
Michael Hersche, Tino Rellstab, Pasquale Davide Schiavone, Lukas Cavigelli, Luca Benini, Abbas Rahimi
Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features. EUSIPCO (2018)
Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (1) (2018)
Lukas Cavigelli, Luca Benini
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators. CoRR (2018)
Manuele Rusci, Lukas Cavigelli, Luca Benini
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? ISCAS (2018)
Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes. ISVLSI (2018)
Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini
XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks. CoRR (2018)
Francesco Conti, Lukas Cavigelli, Gianna Paulin, Igor Susmelj, Luca Benini
, 3.08Gop/s/mW @ 1.2 mW accelerator for near-sensor recurrent neural network inference. CICC (2018)
Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini
XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks. COOL CHIPS (2018)
Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini
Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array. BioCAS (2018)
Michael Schaffner, Florian Scheidegger, Lukas Cavigelli, Hubert Kaeslin, Luca Benini, Aljosa Smolic
Towards Edge-Aware Spatio-Temporal Filtering in Real-Time. IEEE Trans. Image Process. 27 (1) (2018)
Manuel Eggimann, Christelle Gloor, Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, Aljosa Smolic, Luca Benini
Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS. CoRR (2017)
Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, A. Cristiano I. Malossi, Constantine Bekas, Luca Benini
Impact of temporal subsampling on accuracy and performance in practical video classification. EUSIPCO (2017)
Francesco Conti, Lukas Cavigelli, Gianna Paulin, Igor Susmelj, Luca Benini
, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference. CoRR (2017)
Lukas Cavigelli, Philippe Degen, Luca Benini
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data. CoRR (2017)
Lukas Cavigelli, Pascal Hager, Luca Benini
CAS-CNN: A deep convolutional neural network for image compression artifact suppression. IJCNN (2017)
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations. NIPS (2017)
Manuele Rusci, Lukas Cavigelli, Luca Benini
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? CoRR (2017)
Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini
Deep structured features for semantic segmentation. EUSIPCO (2017)
Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. CoRR (2017)
Lukas Cavigelli, Philippe Degen, Luca Benini
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data. ICDSC (2017)
Matthias Meyer, Lukas Cavigelli, Lothar Thiele
Efficient Convolutional Neural Network For Audio Event Detection. CoRR (2017)
Lukas Cavigelli, Luca Benini
Origami: A 803-GOp/s/W Convolutional Network Accelerator. IEEE Trans. Circuits Syst. Video Technol. 27 (11) (2017)
Lukas Cavigelli, Pascal Hager, Luca Benini
CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression. CoRR (2016)
Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights. CoRR (2016)
Lukas Cavigelli, Dominic Bernath, Michele Magno, Luca Benini
Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks. CoRR (2016)
Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini
Deep Structured Features for Semantic Segmentation. CoRR (2016)
Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights. ISVLSI (2016)
Michele Magno, Davide Brunelli, Lukas Sigrist, Renzo Andri, Lukas Cavigelli, Andres Gomez, Luca Benini
InfiniTime: Multi-sensor wearable bracelet with human body harvesting. Sustain. Comput. Informatics Syst. 11 (2016)
Lukas Cavigelli, David Gschwend, Christoph Mayer, Samuel Willi, Beat Muheim, Luca Benini
Origami: A Convolutional Network Accelerator. CoRR (2015)
Lukas Cavigelli, Michele Magno, Luca Benini
Accelerating real-time embedded scene labeling with convolutional networks. DAC (2015)
Lukas Cavigelli, David Gschwend, Christoph Mayer, Samuel Willi, Beat Muheim, Luca Benini
Origami: A Convolutional Network Accelerator. ACM Great Lakes Symposium on VLSI (2015)
Michele Magno, Lukas Cavigelli, Renzo Andri, Luca Benini
Ultra-Low Power Context Recognition Fusing Sensor Data from an Energy-Neutral Smart Watch. IoT 360 (2) (2015)
Michael Schaffner, Pascal Hager, Lukas Cavigelli, Pierre Greisen, Frank K. Gürkaynak, Hubert Kaeslin
A real-time 720p feature extraction core based on Semantic Kernels Binarized. VLSI-SoC (2013)
Michael Schaffner, Pascal A. Hager, Lukas Cavigelli, Z. Fang, Pierre Greisen, Frank K. Gürkaynak, Aljoscha Smolic, Hubert Kaeslin, Luca Benini
A Complete Real-Time Feature Extraction and Matching System Based on Semantic Kernels Binarized. VLSI-SoC (Selected Papers) (2013)