Lukas Cavigelli

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All published works

Action	Title	Year	Authors
+ PDF Chat	PRESERVE: Prefetching Model Weights and KV-Cache in Distributed LLM Serving	2025	Ahmet Caner Yüzügüler Jiawei Zhuang Lukas Cavigelli
+ PDF Chat	AcceLLM: Accelerating LLM Inference using Redundancy for Load Balancing and Data Locality	2024	Ilias Bournias Lukas Cavigelli Georgios Zacharopoulos
+ PDF Chat	SSSD: Simply-Scalable Speculative Decoding	2024	Michele Marzollo Jiawei Zhuang Niklas Roemer Lorenz K. Müller Lukas Cavigelli
+ PDF Chat	Ascend-CC: Confidential Computing on Heterogeneous NPU for Emerging Generative AI Workloads	2024	Aritra Dhar Clément Thorens Lara Magdalena Lazier Lukas Cavigelli
+ PDF Chat	On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems	2024	Cristian Cioflan Lukas Cavigelli Manuele Rusci Miguel de Prado Luca Benini
+ PDF Chat	Ara2: Exploring Single- and Multi-Core Vector Processing With an Efficient RVV 1.0 Compliant Open-Source Processor	2024	Matteo Perotti Matheus Cavalcante Renzo Andri Lukas Cavigelli Luca Benini
+ PDF Chat	Boosting keyword spotting through on-device learnable user speech characteristics	2024	Cristian Cioflan Lukas Cavigelli Luca Benini
+ PDF Chat	On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems	2024	Cristian Cioflan Lukas Cavigelli Manuele Rusci Miguel de Prado Luca Benini
+ PDF Chat	Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation	2023	Enrico Reggiani Renzo Andri Lukas Cavigelli
+	Flex-SFU: Accelerating DNN Activation Functions by Non-Uniform Piecewise Approximation	2023	Enrico Reggiani Renzo Andri Lukas Cavigelli
+	ReDSEa: Automated Acceleration of Triangular Solver on Supercloud Heterogeneous Systems	2023	Georgios Zacharopoulos Ilias Bournias Verner Vlacic Lukas Cavigelli
+	RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing	2023	Antoine Scardigli Lukas Cavigelli Lorenz K. Müller
+	Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor	2023	Matteo Perotti Matheus Cavalcante Renzo Andri Lukas Cavigelli Luca Benini
+	Stella Nera: Achieving 161 TOp/s/W with Multiplier-free DNN Acceleration based on Approximate Matrix Multiplication	2023	Jannis Schönleber Lukas Cavigelli Renzo Andri Matteo Perotti Luca Benini
+ PDF Chat	A “New Ara” for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design	2022	Matteo Perotti Matheus Cavalcante Nils Wistoff Renzo Andri Lukas Cavigelli Luca Benini
+ PDF Chat	Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks	2022	Gianmarco Cerutti Lukas Cavigelli Renzo Andri Michele Magno Elisabetta Farella Luca Benini
+ PDF Chat	Sub-mW Keyword Spotting on an MCU: Analog Binary Feature Extraction and Binary Neural Networks	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	2022	Gianmarco Cerutti Lukas Cavigelli Renzo Andri Michele Magno Elisabetta Farella Luca Benini
+	Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile	2022	Renzo Andri Beatrice Bussolino Antonio Cipolletta Lukas Cavigelli Zhe Wang
+	A ''New Ara'' for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design	2022	Matteo Perotti Matheus Cavalcante Nils Wistoff Renzo Andri Lukas Cavigelli Luca Benini
+ PDF Chat	Vau Da Muntanialas: Energy-Efficient Multi-Die Scalable Acceleration of RNN Inference	2021	Gianna Paulin Francesco Conti Lukas Cavigelli Luca Benini
+ PDF Chat	ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network	2021	Thorir Mar Ingolfsson Xiaying Wang Michael Hersche Alessio Burrello Lukas Cavigelli Luca Benini
+ PDF Chat	ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator	2021	Renzo Andri Geethan Karunaratne Lukas Cavigelli Luca Benini
+ PDF Chat	Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain-Machine Interfaces	2021	Xiaying Wang Tibor Schneider Michael Hersche Lukas Cavigelli Luca Benini
+ PDF Chat	CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration With Better-Than-Binary Energy Efficiency	2021	Moritz Scherer Georg Rutishauser Lukas Cavigelli Luca Benini
+	Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain--Machine Interfaces	2021	Xiaying Wang Tibor Schneider Michael Hersche Lukas Cavigelli Luca Benini
+	Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks	2021	Xavier Timoneda Lukas Cavigelli
+	Sub-100uW Multispectral Riemannian Classification for EEG-based Brain--Machine Interfaces	2021	Xiaying Wang Lukas Cavigelli Tibor Schneider Luca Benini
+	ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network	2021	Thorir Mar Ingolfsson Xiaying Wang Michael Hersche Alessio Burrello Lukas Cavigelli Luca Benini
+	CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency.	2020	Moritz Scherer Georg Rutishauser Lukas Cavigelli Luca Benini
+ PDF Chat	EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain–Machine Interfaces	2020	Thorir Mar Ingolfsson Michael Hersche Xiaying Wang Nobuaki Kobayashi Lukas Cavigelli Luca Benini
+ PDF Chat	Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces	2020	Tibor Schneider Xiaying Wang Michael Hersche Lukas Cavigelli Luca Benini
+ PDF Chat	Sound event detection with binary neural networks on tightly power-constrained IoT devices	2020	Gianmarco Cerutti Renzo Andri Lukas Cavigelli Elisabetta Farella Michele Magno Luca Benini
+	EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces	2020	Thorir Mar Ingolfsson Michael Hersche Xiaying Wang Nobuaki Kobayashi Lukas Cavigelli Luca Benini
+ PDF Chat	InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting	2020	Michele Magno Xiaying Wang Manuel Eggimann Lukas Cavigelli Luca Benini
+ PDF Chat	HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data	2020	Xiaying Wang Lukas Cavigelli Manuel Eggimann Michele Magno Luca Benini
+	InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting	2020	Michele Magno Xiaying Wang Manuel Eggimann Lukas Cavigelli Luca Benini
+ PDF Chat	FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things	2020	Xiaying Wang Michele Magno Lukas Cavigelli Luca Benini
+	RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks	2020	Lukas Cavigelli Luca Benini
+	CUTIE: Beyond PetaOp/s/W Ternary DNN Inference Acceleration with Better-than-Binary Energy Efficiency	2020	Moritz Scherer G Rutishauser Lukas Cavigelli Luca Benini
+	EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces	2020	Thorir Mar Ingolfsson Michael Hersche Xiaying Wang Nobuaki Kobayashi Lukas Cavigelli Luca Benini
+	ChewBaccaNN: A Flexible 223 TOPS/W BNN Accelerator	2020	Renzo Andri Geethan Karunaratne Lukas Cavigelli Luca Benini
+	Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain--Machine Interfaces	2020	Tibor Schneider Xiaying Wang Michael Hersche Lukas Cavigelli Luca Benini
+	InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting	2020	Michele Magno Xiaying Wang Manuel Eggimann Lukas Cavigelli Luca Benini
+ PDF Chat	EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators	2019	Lukas Cavigelli Georg Rutishauser Luca Benini
+	Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine	2019	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini
+ PDF Chat	CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams	2019	Lukas Cavigelli Luca Benini
+ PDF Chat	Extended Bit-Plane Compression for Convolutional Neural Network Accelerators	2019	Lukas Cavigelli Luca Benini
+	Additive Noise Annealing and Approximation Properties of Quantized Neural Networks	2019	Matteo Spallanzani Lukas Cavigelli Gian Paolo Leonardi Marko Bertogna Luca Benini
+	FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things	2019	Xiaying Wang Michele Magno Lukas Cavigelli Luca Benini
+	HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data	2019	Xiaying Wang Lukas Cavigelli Manuel Eggimann Michele Magno Luca Benini
+	EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators	2019	Lukas Cavigelli G Rutishauser Luca Benini
+ PDF Chat	Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features	2018	Michael Hersche Tino Rellstab Pasquale Davide Schiavone Lukas Cavigelli Luca Benini Abbas Rahimi
+ PDF Chat	Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS	2018	Manuel Eggimann Cary A. Gloor Florian Scheidegger Lukas Cavigelli Michael Schaffner Aljoša Smolić Luca Benini
+ PDF Chat	XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks	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	2018	Andrawes Al Bahou Geethan Karunaratne Renzo Andri Lukas Cavigelli Luca Benini
+	Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes	2018	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini
+	Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine.	2018	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini
+ PDF Chat	Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?	2018	Manuele Rusci Lukas Cavigelli Luca Benini
+	Extended Bit-Plane Compression for Convolutional Neural Network Accelerators	2018	Lukas Cavigelli Luca Benini
+	CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams	2018	Lukas Cavigelli Luca Benini
+	Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine	2018	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini
+	XNORBIN: A 95 TOp/s/W Hardware Accelerator for Binary Convolutional Neural Networks	2018	Andrawes Al Bahou Geethan Karunaratne Renzo Andri Lukas Cavigelli Luca Benini
+	Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features	2018	Michael Hersche Tino Rellstab Pasquale Davide Schiavone Lukas Cavigelli Luca Benini Abbas Rahimi
+	Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?	2017	Manuele Rusci Lukas Cavigelli Luca Benini
+	Chipmunk: A Systolically Scalable 0.9 mm${}^2$, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference	2017	Francesco Conti Lukas Cavigelli Gianna Paulin Igor Susmelj Luca Benini
+	Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS	2017	Manuel Eggimann Christelle Gloor Florian Scheidegger Lukas Cavigelli Michael Schaffner Aljoša Smolić Luca Benini
+	Efficient Convolutional Neural Network For Audio Event Detection	2017	Matthias Meyer Lukas Cavigelli Lothar Thiele
+ PDF Chat	Deep structured features for semantic segmentation	2017	Michael Tschannen Lukas Cavigelli Fabian Mentzer Thomas Wiatowski Luca Benini
+ PDF Chat	CAS-CNN: A deep convolutional neural network for image compression artifact suppression	2017	Lukas Cavigelli Pascal Alexander Hager Luca Benini
+	Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.	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	2017	Eirikur Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool
+ PDF Chat	YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration	2017	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini
+	Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations	2017	Eirikur Agustsson Fabian Mentzer Michael Tschannen Lukas Cavigelli Radu Timofte Luca Benini Luc Van Gool
+	CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data	2017	Lukas Cavigelli Philippe Degen Luca Benini
+	Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?	2017	Manuele Rusci Lukas Cavigelli Luca Benini
+	Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS	2017	Manuel Eggimann Christelle Gloor Florian Scheidegger Lukas Cavigelli Michael Schaffner Aljoša Smolić Luca Benini
+	Chipmunk: A Systolically Scalable 0.9 mm${}^2$, 3.08 Gop/s/mW @ 1.2 mW Accelerator for Near-Sensor Recurrent Neural Network Inference	2017	Francesco Conti Lukas Cavigelli Gianna Paulin Igor Susmelj Luca Benini
+	Efficient Convolutional Neural Network For Audio Event Detection	2017	Matthias Meyer Lukas Cavigelli Lothar Thiele
+ PDF Chat	Computationally efficient target classification in multispectral image data with Deep Neural Networks	2016	Lukas Cavigelli Dominic Bernath Michele Magno Luca Benini
+	Deep Structured Features for Semantic Segmentation	2016	Michael Tschannen Lukas Cavigelli Fabian Mentzer Thomas Wiatowski Luca Benini
+ PDF Chat	Origami: A 803-GOp/s/W Convolutional Network Accelerator	2016	Lukas Cavigelli Luca Benini
+	YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration	2016	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini
+	YodaNN: An Ultra-Low Power Convolutional Neural Network Accelerator Based on Binary Weights	2016	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini
+	YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration	2016	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini
+	Deep Structured Features for Semantic Segmentation	2016	Michael Tschannen Lukas Cavigelli Fabian Mentzer Thomas Wiatowski Luca Benini

Common Coauthors

Coauthor	Papers Together
Luca Benini	74
Renzo Andri	25
Xiaying Wang	17
Michele Magno	12
Michael Hersche	11
Manuel Eggimann	8
Davide Rossi	8
Michael Tschannen	6
Fabian Mentzer	6
Manuele Rusci	5
Geethan Karunaratne	5
Tibor Schneider	5
Matteo Perotti	5
Thorir Mar Ingolfsson	5
Matheus Cavalcante	4
Gianmarco Cerutti	4
Aljoša Smolić	3
Elisabetta Farella	3
Francesco Conti	3
Gianna Paulin	3
Michael Schaffner	3
Cristian Cioflan	3
Radu Timofte	3
Georg Rutishauser	3
Eirikur Agustsson	3
Andrawes Al Bahou	3
Luc Van Gool	3
Thomas Wiatowski	3
Florian Scheidegger	3
Alessio Burrello	2
Nobuaki Kobayashi	2
Moritz Scherer	2
Pasquale Davide Schiavone	2
Lorenz K. Müller	2
Tino Rellstab	2
G Rutishauser	2
Miguel de Prado	2
Abbas Rahimi	2
Nils Wistoff	2
Lothar Thiele	2
Igor Susmelj	2
Enrico Reggiani	2
Christelle Gloor	2
Ilias Bournias	2
Georgios Zacharopoulos	2
Jiawei Zhuang	2
Xavier Timoneda	1
Cary A. Gloor	1
Matthias Meyer	1
Dominic Bernath	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	15
+ PDF Chat	Origami: A 803-GOp/s/W Convolutional Network Accelerator	2016	Lukas Cavigelli Luca Benini	13
+ PDF Chat	YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration	2017	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini	12
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	12
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	12
+	Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights	2017	Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen	10
+ PDF Chat	Near-Threshold RISC-V Core With DSP Extensions for Scalable IoT Endpoint Devices	2017	Michael Gautschi Pasquale Davide Schiavone Andreas Traber Igor Loi Antonio Pullini Davide Rossi Éric Flamand Frank K. Gürkaynak Luca Benini	10
+ PDF Chat	CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams	2019	Lukas Cavigelli Luca Benini	8
+ PDF Chat	Efficient Processing of Deep Neural Networks: A Tutorial and Survey	2017	Vivienne Sze Yu‐Hsin Chen Tien-Ju Yang Joel Emer	8
+	SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size	2016	Forrest Iandola Song Han Matthew W. Moskewicz Khalid Ashraf William J. Dally Kurt Keutzer	8
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	7
+	Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine	2019	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini	7
+ PDF Chat	Extended Bit-Plane Compression for Convolutional Neural Network Accelerators	2019	Lukas Cavigelli Luca Benini	7
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	7
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	6
+	Hyperdrive: A Systolically Scalable Binary-Weight CNN Inference Engine for mW IoT End-Nodes	2018	Renzo Andri Lukas Cavigelli Davide Rossi Luca Benini	6
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	6
+ PDF Chat	EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators	2019	Lukas Cavigelli Georg Rutishauser Luca Benini	6
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	6
+ PDF Chat	FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things	2020	Xiaying Wang Michele Magno Lukas Cavigelli Luca Benini	6
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	6
+	Additive Noise Annealing and Approximation Properties of Quantized Neural Networks	2019	Matteo Spallanzani Lukas Cavigelli Gian Paolo Leonardi Marko Bertogna Luca Benini	6
+ PDF Chat	NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps	2018	Alessandro Aimar Hesham Mostafa Enrico Calabrese Antonio Ríos-Navarro Ricardo Tapiador-Morales Iulia-Alexandra Lungu Moritz B. Milde Federico Corradi A. Linares-Barranco Shih‐Chii Liu	5
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	5
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	5
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	5
+	YOLOv3: An Incremental Improvement.	2018	Joseph Redmon Ali Farhadi	5
+ PDF Chat	EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces	2018	Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon Chou P. Hung Brent J. Lance	5
+	RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks	2020	Lukas Cavigelli Luca Benini	5
+	DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients	2016	Shuchang Zhou Yuxin Wu Zekun Ni Xinyu Zhou He Wen Yuheng Zou	5
+ PDF Chat	Deep learning with convolutional neural networks for EEG decoding and visualization	2017	Robin Tibor Schirrmeister Jost Tobias Springenberg Lukas D. J. Fiederer Martin Glasstetter Katharina Eggensperger Michael Tangermann Frank Hutter Wolfram Burgard Tonio Ball	5
+ PDF Chat	Computationally efficient target classification in multispectral image data with Deep Neural Networks	2016	Lukas Cavigelli Dominic Bernath Michele Magno Luca Benini	5
+ PDF Chat	A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones	2019	Daniele Palossi Antonio Loquercio Francesco Conti Éric Flamand Davide Scaramuzza Luca Benini	5
+	Hardware-oriented Approximation of Convolutional Neural Networks	2016	Philipp Gysel Mohammad Motamedi Soheil Ghiasi	5
+ PDF Chat	Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation	2019	Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid	4
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	4
+	Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights	2017	Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen	4
+ PDF Chat	SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving	2017	Bichen Wu Alvin Wan Forrest Iandola Peter H. Jin Kurt Keutzer	4
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan D. Cohen John C. Tran Bryan Catanzaro Evan Shelhamer	4
+	Binarized Neural Networks	2016	Itay Hubara Daniel Soudry Ran El Yaniv	4
+ PDF Chat	An Accurate EEGNet-based Motor-Imagery Brain–Computer Interface for Low-Power Edge Computing	2020	Xiaying Wang Michael Hersche Batuhan Tömekçe Burak Kaya Michele Magno Luca Benini	4
+	An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling	2018	Shaojie Bai J. Zico Kolter Vladlen Koltun	4
+ PDF Chat	BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS	2018	Bert Moons Daniel Bankman Lita Yang Boris Murmann Marian Verhelst	3
+ PDF Chat	XNORBIN: A 95 TOp/s/W hardware accelerator for binary convolutional neural networks	2018	Andrawes Al Bahou Geethan Karunaratne Renzo Andri Lukas Cavigelli Luca Benini	3
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	3
+ PDF Chat	GXNOR-Net: Training deep neural networks with ternary weights and activations without full-precision memory under a unified discretization framework	2018	Lei Deng Peng Jiao Jing Pei Zhenzhi Wu Guoqi Li	3
+ PDF Chat	Fast and Accurate Multiclass Inference for MI-BCIs Using Large Multiscale Temporal and Spectral Features	2018	Michael Hersche Tino Rellstab Pasquale Davide Schiavone Lukas Cavigelli Luca Benini Abbas Rahimi	3
+ PDF Chat	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference	2018	Benoit Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew F. Tang Andrew Howard Hartwig Adam Dmitry Kalenichenko	3
+	BNN+: Improved Binary Network Training	2018	Sajad Darabi Mouloud Belbahri Matthieu Courbariaux Vahid Partovi Nia	3
+	Deep Residual Learning for Image Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3