Lukas Cavigelli

113 papers A* 6A 3B 3C 7Journal 72Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Don't be so Stief! Learning KV Cache low-rank approximation over the Stiefel manifold. CoRR Luca Benfenati, Matteo Risso, Andrea Vannozzi, Ahmet Caner Yüzügüler, Lukas Cavigelli, Enrico Macii, Daniele Jahier Pagliari, Alessio Burrello
2026	J	`jnl`	Efficient On-Device Domain Learning for Keyword Spotting on Ultra-Low-Power Platforms. IEEE Internet Things J. Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2026	—	`conf`	GENIAL: Generative Design Space Exploration via Network Inversion for Low Power Algorithmic Logic Units. ASP-DAC Maxence Bouvier, Ryan Amaudruz, Felix Arnold, Renzo Andri, Lukas Cavigelli
2025	J	`jnl`	AC-LoRA: (Almost) Training-Free Access Control-Aware Multi-Modal LLMs. CoRR Lara Magdalena Lazier, Aritra Dhar, Vasilije Stambolic, Lukas Cavigelli
2025	J	`jnl`	Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization. CoRR Giuseppe Ruggeri, Renzo Andri, Daniele Jahier Pagliari, Lukas Cavigelli
2025	J	`jnl`	Explicit Sign-Magnitude Encoders Enable Power-Efficient Multipliers. CoRR Felix Arnold, Maxence Bouvier, Ryan Amaudruz, Renzo Andri, Lukas Cavigelli
2025	J	`jnl`	Flex-SFU: Activation Function Acceleration With Nonuniform Piecewise Approximation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Renzo Andri, Enrico Reggiani, Lukas Cavigelli
2025	J	`jnl`	GENIAL: Generative Design Space Exploration via Network Inversion for Low Power Algorithmic Logic Units. CoRR Maxence Bouvier, Ryan Amaudruz, Felix Arnold, Renzo Andri, Lukas Cavigelli
2025	A*	`conf`	Guardain: Protecting Emerging Generative AI Workloads on Heterogeneous NPU. SP Aritra Dhar, Clément Thorens, Lara Magdalena Lazier, Lukas Cavigelli
2025	J	`jnl`	Intent-Driven Storage Systems: From Low-Level Tuning to High-Level Understanding. CoRR Shai Bergman, Won Wook Song, Lukas Cavigelli, Konstantin Berestizshevsky, Ke Zhou, Ji Zhang
2025	J	`jnl`	Late Breaking Results: The Art of Beating the Odds with Predictor-Guided Random Design Space Exploration. CoRR Felix Arnold, Maxence Bouvier, Ryan Amaudruz, Renzo Andri, Lukas Cavigelli
2025	J	`jnl`	PRESERVE: Prefetching Model Weights and KV-Cache in Distributed LLM Serving. CoRR Ahmet Caner Yüzügüler, Jiawei Zhuang, Lukas Cavigelli
2025	J	`jnl`	RAG-Pull: Imperceptible Attacks on RAG Systems for Code Generation. CoRR Vasilije Stambolic, Aritra Dhar, Lukas Cavigelli
2025	J	`jnl`	SINQ: Sinkhorn-Normalized Quantization for Calibration-Free Low-Precision LLM Weights. CoRR Lorenz K. Müller, Philippe Bich, Jiawei Zhuang, Ahmet Çelik, Luca Benfenati, Lukas Cavigelli
2025	—	`conf`	Stella Nera: A Differentiable Maddness-Based Hardware Accelerator for Efficient Approximate Matrix Multiplication. ISVLSI Jannis Schönleber, Lukas Cavigelli, Matteo Perotti, Luca Benini, Renzo Andri
2025	J	`jnl`	Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding. CoRR Konstantin Berestizshevsky, Renzo Andri, Lukas Cavigelli
2025	J	`jnl`	TyphoonMLA: A Mixed Naive-Absorb MLA Kernel For Shared Prefix. CoRR Ahmet Caner Yüzügüler, Ahmet Çelik, Jiawei Zhuang, Lukas Cavigelli
2024	J	`jnl`	AcceLLM: Accelerating LLM Inference using Redundancy for Load Balancing and Data Locality. CoRR Ilias Bournias, Lukas Cavigelli, Georgios Zacharopoulos
2024	J	`jnl`	Ara2: Exploring Single- and Multi-Core Vector Processing With an Efficient RVV 1.0 Compliant Open-Source Processor. IEEE Trans. Computers Matteo Perotti, Matheus A. Cavalcante, Renzo Andri, Lukas Cavigelli, Luca Benini
2024	J	`jnl`	Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads. CoRR Aritra Dhar, Clément Thorens, Lara Magdalena Lazier, Lukas Cavigelli
2024	J	`jnl`	Boosting keyword spotting through on-device learnable user speech characteristics. CoRR Cristian Cioflan, Lukas Cavigelli, Luca Benini
2024	C	`conf`	Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization. ICCD Giuseppe Ruggeri, Renzo Andri, Daniele Jahier Pagliari, Lukas Cavigelli
2024	J	`jnl`	Introduction to the Special Issue on tinyML. ACM Trans. Embed. Comput. Syst. Theocharis Theocharides, Charlotte Frenkel, Lukas Cavigelli
2024	—	`conf`	On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. AICAS Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2024	J	`jnl`	On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems. CoRR Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2024	J	`jnl`	SSSD: Simply-Scalable Speculative Decoding. CoRR Michele Marzollo, Jiawei Zhuang, Niklas Roemer, Lorenz K. Müller, Lukas Cavigelli
2023	J	`jnl`	Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor. CoRR Matteo Perotti, Matheus A. Cavalcante, Renzo Andri, Lukas Cavigelli, Luca Benini
2023	J	`jnl`	Efficient Inference With Model Cascades. Trans. Mach. Learn. Res. Luzian Lebovitz, Lukas Cavigelli, Michele Magno, Lorenz K. Müller
2023	A*	`conf`	Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation. DAC Enrico Reggiani, Renzo Andri, Lukas Cavigelli
2023	J	`jnl`	Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation. CoRR Enrico Reggiani, Renzo Andri, Lukas Cavigelli
2023	A*	`conf`	RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing. NeurIPS Antoine Scardigli, Lukas Cavigelli, Lorenz K. Müller
2023	J	`jnl`	RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing. CoRR Antoine Scardigli, Lukas Cavigelli, Lorenz K. Müller
2023	J	`jnl`	ReDSEa: Automated Acceleration of Triangular Solver on Supercloud Heterogeneous Systems. CoRR Georgios Zacharopoulos, Ilias Bournias, Verner Vlacic, Lukas Cavigelli
2023	J	`jnl`	Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication. CoRR Jannis Schönleber, Lukas Cavigelli, Renzo Andri, Matteo Perotti, Luca Benini
2022	—	`conf`	A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design. ASAP Matteo Perotti, Matheus A. Cavalcante, Nils Wistoff, Renzo Andri, Lukas Cavigelli, Luca Benini
2022	J	`jnl`	A "New Ara" for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design. CoRR Matteo Perotti, Matheus A. Cavalcante, Nils Wistoff, Renzo Andri, Lukas Cavigelli, Luca Benini
2022	J	`jnl`	CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini
2022	J	`jnl`	Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile. CoRR Renzo Andri, Beatrice Bussolino, Antonio Cipolletta, Lukas Cavigelli, Zhe Wang
2022	A*	`conf`	Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tiles. MICRO Renzo Andri, Beatrice Bussolino, Antonio Cipolletta, Lukas Cavigelli, Zhe Wang
2022	J	`jnl`	Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. CoRR Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini
2022	J	`jnl`	Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks. IEEE Trans. Circuits Syst. I Regul. Pap. Gianmarco Cerutti, Lukas Cavigelli, Renzo Andri, Michele Magno, Elisabetta Farella, Luca Benini
2022	—	`conf`	Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. AICAS Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2022	J	`jnl`	Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference. IEEE Trans. Circuits Syst. I Regul. Pap. Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini
2022	J	`jnl`	Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference. CoRR Gianna Paulin, Francesco Conti, Lukas Cavigelli, Luca Benini
2021	C	`conf`	ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. ISCAS Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini
2021	—	`conf`	ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. AICAS Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini
2021	J	`jnl`	ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. CoRR Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche, Alessio Burrello, Lukas Cavigelli, Luca Benini
2021	A*	`conf`	Late Breaking Results: Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks. DAC Xavier Timoneda, Lukas Cavigelli
2021	C	`conf`	Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain-Machine Interfaces. ISCAS Xiaying Wang, Tibor Schneider, Michael Hersche, Lukas Cavigelli, Luca Benini
2021	J	`jnl`	Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks. CoRR Xavier Timoneda, Lukas Cavigelli
2021	J	`jnl`	Sound Event Detection with Binary Neural Networks on Tightly Power-Constrained IoT Devices. CoRR Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Michele Magno, Elisabetta Farella, Luca Benini
2021	J	`jnl`	Sub-100 $\mu$W Multispectral Riemannian Classification for EEG-Based Brain-Machine Interfaces. IEEE Trans. Biomed. Circuits Syst. Xiaying Wang, Lukas Cavigelli, Tibor Schneider, Luca Benini
2020	J	`jnl`	CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams. IEEE Trans. Circuits Syst. Video Technol. Lukas Cavigelli, Luca Benini
2020	J	`jnl`	CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency. CoRR Moritz Scherer, Georg Rutishauser, Lukas Cavigelli, Luca Benini
2020	J	`jnl`	ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator. CoRR Renzo Andri, Geethan Karunaratne, Lukas Cavigelli, Luca Benini
2020	B	`conf`	EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. SMC Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, Nobuaki Kobayashi, Lukas Cavigelli, Luca Benini
2020	J	`jnl`	EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. CoRR Thorir Mar Ingolfsson, Michael Hersche, Xiaying Wang, Nobuaki Kobayashi, Lukas Cavigelli, Luca Benini
2020	J	`jnl`	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. Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini
2020	A	`conf`	InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting. DATE Michele Magno, Xiaying Wang, Manuel Eggimann, Lukas Cavigelli, Luca Benini
2020	B	`conf`	Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. SMARTCOMP Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini
2020	J	`jnl`	Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. CoRR Tibor Schneider, Xiaying Wang, Michael Hersche, Lukas Cavigelli, Luca Benini
2020	J	`jnl`	RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks. CoRR Lukas Cavigelli, Luca Benini
2020	A	`conf`	Sound event detection with binary neural networks on tightly power-constrained IoT devices. ISLPED Gianmarco Cerutti, Renzo Andri, Lukas Cavigelli, Elisabetta Farella, Michele Magno, Luca Benini
2019	J	`jnl`	Additive Noise Annealing and Approximation Properties of Quantized Neural Networks. CoRR Matteo Spallanzani, Lukas Cavigelli, Gian Paolo Leonardi, Marko Bertogna, Luca Benini
2019	J	`jnl`	EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. CoRR Lukas Cavigelli, Georg Rutishauser, Luca Benini
2019	J	`jnl`	EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators. IEEE J. Emerg. Sel. Topics Circuits Syst. Lukas Cavigelli, Georg Rutishauser, Luca Benini
2019	—	`conf`	Extended Bit-Plane Compression for Convolutional Neural Network Accelerators. AICAS Lukas Cavigelli, Luca Benini
2019	J	`jnl`	FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. CoRR Xiaying Wang, Michele Magno, Lukas Cavigelli, Luca Benini
2019	—	`conf`	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 Michele Magno, Lukas Cavigelli, Philipp Mayer, Ferdinand von Hagen, Luca Benini
2019	J	`jnl`	HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data. CoRR Xiaying Wang, Lukas Cavigelli, Manuel Eggimann, Michele Magno, Luca Benini
2019	J	`jnl`	Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine. IEEE J. Emerg. Sel. Topics Circuits Syst. Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
2019	A	`conf`	Laelaps: An Energy-Efficient Seizure Detection Algorithm from Long-term Human iEEG Recordings without False Alarms. DATE Alessio Burrello, Lukas Cavigelli, Kaspar Schindler, Luca Benini, Abbas Rahimi
2019	J	`jnl`	SmarTEG: An Autonomous Wireless Sensor Node for High Accuracy Accelerometer-Based Monitoring. Sensors Michele Magno, Lukas Sigrist, Andres Gomez, Lukas Cavigelli, Antonio Libri, Emanuel M. Popovici, Luca Benini
2019	—	`—`	Towards energy-efficient convolutional neural network inference. Lukas Cavigelli
2018	J	`jnl`	CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams. CoRR Lukas Cavigelli, Luca Benini
2018	—	`conf`	Chipmunk: A systolically scalable 0.9 mm CICC Francesco Conti, Lukas Cavigelli, Gianna Paulin, Igor Susmelj, Luca Benini
2018	C	`conf`	Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? ISCAS Manuele Rusci, Lukas Cavigelli, Luca Benini
2018	J	`jnl`	Design and Evaluation of a Low-Power Sensor Device for Induced Rockfall Experiments. IEEE Trans. Instrum. Meas. Andrin Caviezel, Michael Schaffner, Lukas Cavigelli, Pascal Niklaus, Yves Bühler, Perry Bartelt, Michele Magno, Luca Benini
2018	—	`conf`	Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array. BioCAS Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini
2018	J	`jnl`	Extended Bit-Plane Compression for Convolutional Neural Network Accelerators. CoRR Lukas Cavigelli, Luca Benini
2018	—	`conf`	Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features. EUSIPCO Michael Hersche, Tino Rellstab, Pasquale Davide Schiavone, Lukas Cavigelli, Luca Benini, Abbas Rahimi
2018	C	`conf`	Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS. ISCAS Manuel Eggimann, Christelle Gloor, Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, Aljosa Smolic, Luca Benini
2018	—	`conf`	Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes. ISVLSI Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
2018	J	`jnl`	Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes. CoRR Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
2018	C	`conf`	Rat Cortical Layers Classification extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor. HealthCom Xiaying Wang, Michele Magno, Lukas Cavigelli, Mufti Mahmud, Claudia Cecchetto, Stefano Vassanelli, Luca Benini
2018	J	`jnl`	Towards Edge-Aware Spatio-Temporal Filtering in Real-Time. IEEE Trans. Image Process. Michael Schaffner, Florian Scheidegger, Lukas Cavigelli, Hubert Kaeslin, Luca Benini, Aljosa Smolic
2018	J	`jnl`	XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks. CoRR Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini
2018	—	`conf`	XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks. COOL CHIPS Andrawes Al Bahou, Geethan Karunaratne, Renzo Andri, Lukas Cavigelli, Luca Benini
2018	J	`jnl`	YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
2017	B	`conf`	CAS-CNN: A deep convolutional neural network for image compression artifact suppression. IJCNN Lukas Cavigelli, Pascal Hager, Luca Benini
2017	—	`conf`	CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data. ICDSC Lukas Cavigelli, Philippe Degen, Luca Benini
2017	J	`jnl`	CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data. CoRR Lukas Cavigelli, Philippe Degen, Luca Benini
2017	J	`jnl`	Chipmunk: A Systolically Scalable 0.9 mm CoRR Francesco Conti, Lukas Cavigelli, Gianna Paulin, Igor Susmelj, Luca Benini
2017	—	`conf`	Deep structured features for semantic segmentation. EUSIPCO Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini
2017	J	`jnl`	Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? CoRR Manuele Rusci, Lukas Cavigelli, Luca Benini
2017	J	`jnl`	Efficient Convolutional Neural Network For Audio Event Detection. CoRR Matthias Meyer, Lukas Cavigelli, Lothar Thiele
2017	J	`jnl`	Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS. CoRR Manuel Eggimann, Christelle Gloor, Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, Aljosa Smolic, Luca Benini
2017	—	`conf`	Impact of temporal subsampling on accuracy and performance in practical video classification. EUSIPCO Florian Scheidegger, Lukas Cavigelli, Michael Schaffner, A. Cristiano I. Malossi, Constantine Bekas, Luca Benini
2017	J	`jnl`	Origami: A 803-GOp/s/W Convolutional Network Accelerator. IEEE Trans. Circuits Syst. Video Technol. Lukas Cavigelli, Luca Benini
2017	J	`jnl`	Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks. CoRR Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
2017	—	`conf`	Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations. NIPS Eirikur Agustsson, Fabian Mentzer, Michael Tschannen, Lukas Cavigelli, Radu Timofte, Luca Benini, Luc Van Gool
2016	J	`jnl`	CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression. CoRR Lukas Cavigelli, Pascal Hager, Luca Benini
2016	J	`jnl`	Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks. CoRR Lukas Cavigelli, Dominic Bernath, Michele Magno, Luca Benini
2016	J	`jnl`	Deep Structured Features for Semantic Segmentation. CoRR Michael Tschannen, Lukas Cavigelli, Fabian Mentzer, Thomas Wiatowski, Luca Benini
2016	J	`jnl`	InfiniTime: Multi-sensor wearable bracelet with human body harvesting. Sustain. Comput. Informatics Syst. Michele Magno, Davide Brunelli, Lukas Sigrist, Renzo Andri, Lukas Cavigelli, Andres Gomez, Luca Benini
2016	—	`conf`	YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights. ISVLSI Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
2016	J	`jnl`	YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights. CoRR Renzo Andri, Lukas Cavigelli, Davide Rossi, Luca Benini
2015	A*	`conf`	Accelerating real-time embedded scene labeling with convolutional networks. DAC Lukas Cavigelli, Michele Magno, Luca Benini
2015	—	`conf`	Origami: A Convolutional Network Accelerator. ACM Great Lakes Symposium on VLSI Lukas Cavigelli, David Gschwend, Christoph Mayer, Samuel Willi, Beat Muheim, Luca Benini
2015	J	`jnl`	Origami: A Convolutional Network Accelerator. CoRR Lukas Cavigelli, David Gschwend, Christoph Mayer, Samuel Willi, Beat Muheim, Luca Benini
2015	—	`conf`	Ultra-Low Power Context Recognition Fusing Sensor Data from an Energy-Neutral Smart Watch. IoT 360 (2) Michele Magno, Lukas Cavigelli, Renzo Andri, Luca Benini
2013	—	`conf`	A Complete Real-Time Feature Extraction and Matching System Based on Semantic Kernels Binarized. VLSI-SoC (Selected Papers) Michael Schaffner, Pascal A. Hager, Lukas Cavigelli, Z. Fang, Pierre Greisen, Frank K. Gürkaynak, Aljoscha Smolic, Hubert Kaeslin, Luca Benini
2013	C	`conf`	A real-time 720p feature extraction core based on Semantic Kernels Binarized. VLSI-SoC Michael Schaffner, Pascal Hager, Lukas Cavigelli, Pierre Greisen, Frank K. Gürkaynak, Hubert Kaeslin