Publications

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Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, and Marian Verhelst · Conference Proceeding · 2021 IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning; 2021; pp. 283 - 295
PeakRNN and StatsRNN: Dynamic Pruning in Recurrent Neural Networks Zuzana Jelcicova, Rasmus Jones, David Thorn Blix, Marian Verhelst, and Jens Sparso · Conference Proceeding · 2021 29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021); 2021; pp. 416 - 420
A 96-channel 40nm CMOS Fully-Integrated Potentiostat for Electrochemical Monitoring Peishuo Li, Tom R Molderez, and Marian Verhelst · Conference Proceeding · 2021 IEEE 51ST EUROPEAN SOLID-STATE DEVICE RESEARCH CONFERENCE (ESSDERC 2021); 2021; pp. 167 - 170
Processor Architecture Optimization for Spatially Dynamic Neural Networks Steven Colleman, Thomas Verelst, Linyan Mei, Tinne Tuytelaars, and Marian Verhelst · Conference Proceeding · 2021 2021 IFIP/IEEE 29th International Conference on Very Large Scale Integration (VLSI-SoC); 2021; pp.
LOMA: Fast Auto-Scheduling on DNN Accelerators through Loop-Order-based Memory Allocation Arne Symons, Linyan Mei, and Marian Verhelst · Conference Proceeding · 2021 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS); 2021; pp. 1 - 4
PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, and Marian Verhelst · Conference Proceeding · 2021 Proceedings of 2021 IEEE International Solid- State Circuits Conference (ISSCC); 2021; Vol. 64; pp. 1 - 3
Hardware-Aware Probabilistic Models: Learning, Inference and Use Cases Laura Isabel Galindez Olascoaga · Dissertation · 2020
Flexible, Self-adaptive Sense-and-Compress SoC for sub-microWatt always-on sensory recording Jaro De Roose, Haoming Xin, Ahmed Hallawa, Gerd Ascheid, Pieter Harpe, and Marian Verhelst · Journal Article · 2020 IEEE Solid State Circuits Letters; 2020; Vol. 3; pp. 362 - 365
Modeling and Optimization of Hybrid FinFET-Silicon Photonic Interconnects Nicolas Pantano, Michal Rakowski, Davide Guermandi, Marian Verhelst, and Joris Van Campenhout · Journal Article · 2020 Journal Of Lightwave Technology; 2020; Vol. 38; iss. 16; pp. 4325 - 4332
Binary CorNET: Accelerator for HR Estimation From Wrist-PPG Leandro Giacomini Rocha, Dwaipayan Biswas, Bram-Ernst Verhoef, Sergio Bampi, Chris Van Hoof, Mario Konijnenburg, Marian Verhelst, and Nick Van Helleputte · Journal Article · 2020 IEEE Transactions On Biomedical Circuits And Systems; 2020; Vol. 14; iss. 4; pp. 715 - 726
A 28-nm Coarse Grain 2D-Reconfigurable Array With Data Forwarding S Smets, MD Gormony, M Jivanescu, T Goedemé, and Marian Verhelst · Journal Article · 2020 IEEE Solid State Circuits Letters; 2020; Vol. 3; pp. 226 - 229
A 5-GS/s 158.6-mW 9.4-ENOB Passive-Sampling Time-Interleaved Three-Stage Pipelined-SAR ADC With Analog-Digital Corrections in 28-nm CMOS Athanasios T Ramkaj, Juan C Pena Ramos, Marcel JM Pelgrom, Michiel SJ Steyaert, Marian Verhelst, and Filip Tavernier · Journal Article · 2020 IEEE Journal Of Solid-State Circuits; 2020; Vol. 55; iss. 6; pp. 1553 - 1564
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, and Marian Verhelst · Conference Proceeding · 2020 Advances in Intelligent Data Analysis XVIII; 2020; Vol. 12080; pp. 184 - 196
Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10-μW Keyword Spotting and Speaker Verification Juan Sebastian Piedrahita Giraldo, Steven Lauwereins, Komail Badami, and Marian Verhelst · Journal Article · 2020 IEEE Journal Of Solid-State Circuits; 2020; Vol. 55; iss. 4; pp.
Machine Learning at the Edge Marian Verhelst and Boris Murmann · Book Chapter · 2020 NANO-CHIPS 2030; 2020; pp. 293 - 322
Feed-forward on-edge fine-tuning using static synthetic gradient modules Robby Neven, Marian Verhelst, Tinne Tuytelaars, and Toon Goedemé · Conference Proceeding · 2020 Lecture Notes in Computer Science - Computer Vision – ECCV 2020 Workshops; 2020; Vol. 12539; pp. 131 - 146
Opportunities and Limitations of Emerging Analog in-Memory Compute DNN Architectures Pouya Houshmand, Stefan Cosemans, Linyan Mei, Ioannis Papistas, Debjyoti Bhattacharjee, Peter Debacker, Arindam Mallik, Diederik Verkest, and Marian Verhelst · Conference Proceeding · 2020 2020 IEEE INTERNATIONAL ELECTRON DEVICES MEETING (IEDM); 2020; pp.
Whitepaper AI at the edge - a roadmap Jan Rabaey, Marian Verhelst, Jo De Boeck, C Enz, Kristiaan De Greve, Adrian Ionescu, Myunhee Na, and Kathleen Philips · Other · 2020
DVAFS—Dynamic-Voltage-Accuracy-Frequency-Scaling Applied to Scalable Convolutional Neural Network Acceleration Bert Moons and Marian Verhelst · Book Chapter · 2020 System-Scenario-based Design Principles and Applications; 2020; pp. 99 - 111
On the convexity of bit depth allocation for linear MMSE estimation in wireless sensor networks F de la Hucha Arce, Panagiotis Patrinos, M Verhelst, and A Bertrand · Journal Article · 2020 IEEE Signal Processing Letters; 2020; Vol. 27; pp. 291 - 295
A Four-Quadrant Switched Capacitor DC-DC Convertor Enabling Power-Efficient Lab-Grade Potentiostats Matthias Swiggers, Tim Thielemans, Tom Molderez, Marian Verhelst, and Filip Tavernier · Conference Proceeding · 2020 2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON); 2020; pp. 658 - 664
Acceleration of probabilistic reasoning through custom processor architecture Nimish Shirishbhai Shah, Laura I Galindez Olascoaga, Wannes Meert, and Marian Verhelst · Conference Proceeding · 2020 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE); 2020; pp. 322 - 325
Distributed adaptive node-specific signal estimation in a wireless sensor network with noisy links Fernando de la Hucha Arce, M Moonen, M Verhelst, and A Bertrand · Journal Article · 2020 Signal Processing; 2020; Vol. 166; pp.
Review and Benchmarking of Precision-Scalable Multiply-Accumulate Unit Architectures for Embedded Neural-Network Processing Vincent Camus, Linyan Mei, Christian Enz, and Marian Verhelst · Journal Article · 2019 IEEE Journal On Emerging And Selected Topics In Circuits And Systems; 2019; Vol. 9; iss. 4; pp. 697 - 711
A Current-Driven Six-Channel Potentiostat for Rapid Performance Characterization of Microbial Electrolysis Cells Tom Molderez, Xu Zhang, Marian Verhelst, and Korneel Rabaey · Journal Article · 2019 IEEE Transactions On Instrumentation And Measurement; 2019; Vol. 68; iss. 12; pp. 4694 - 4702
Analog-and-Algorithm-Assisted Ultra-low Power Biosignal Acquisition Systems Rajesh Pamula Venkata, Chris Van Hoof, and Marian Verhelst · Book · 2019
Towards Hardware-Aware Tractable Learning of Probabilistic Models Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, and Guy Van den Broeck · Conference Proceeding · 2019 Advances in Neural Information Processing Systems 32 (NeurIPS); 2019; Vol. 32; pp.
PRU: Probabilistic Reasoning processing Unit for resource-efficient AI Nimish Shirishbhai Shah, Laura I Galindez Olascoaga, Wannes Meert, and Marian Verhelst · Other · 2019
Efficient Keyword Spotting through Hardware-Aware Conditional Execution of Deep Neural Networks Juan Sebastian Piedrahita Giraldo, Chris O'Connor, and Marian Verhelst · Conference Proceeding · 2019 Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; 2019; pp.
Towards Hardware-Aware Tractable Learning of Probabilistic Models (workshop version) Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst, and Guy Van den Broeck · Other · 2019
Breaking High-Resolution CNN Bandwidth Barriers With Enhanced Depth-First Execution Koen Goetschalckx and Marian Verhelst · Journal Article · 2019 IEEE Journal on Emerging and Selected Topics in Circuits and Systems; 2019; Vol. 9; iss. 2; pp. 323 - 331
Comparison of bit depth allocation problems for signal estimation in wireless sensor networks Fernando de la Hucha Arce, M Moonen, Marian Verhelst, and A Bertrand · Other · 2019
2.2 A 978GOPS/W Flexible Streaming Processor for Real-Time Image Processing Applications in 22nm FDSOI S Smets, T Goedeme, A Mittal, and M Verhelst · Conference Proceeding · 2019 Digest of Technical Papers - IEEE International Solid-State Circuits Conference; 2019; Vol. 2019-February; pp. 44 - 46
A 978GOPS/W Flexible Streaming Processor for Real-Time Image Processing Applications in 22nm FDSOI Sander Smets, Toon Goedemé, Anurag Mittal, and Marian Verhelst · Conference Proceeding · 2019 2019 IEEE International Solid-State Circuits Conference Digest of Technical Papers; 2019; Vol. 62; pp. 44 - 46
Power Efficient Analog and Mixed-Signal Architectures for Sensing Systems K Badami · Dissertation · 2019
Enabling Ultrasound In-Body Communication: FIR Channel Models and QAM Experiments Thomas Bos, Wentao Jiang, Jan D'hooge, Marian Verhelst, and Wim Dehaene · Journal Article · 2019 IEEE Transactions On Biomedical Circuits And Systems; 2019; Vol. 13; iss. 1; pp. 135 - 144
Real-time HR Estimation from wrist PPG using Binary LSTMs Leandro Giacomini Rocha, Muqing Liu, Dwaipayan Biswas, Bram-Ernst Verhoef, Sergio Bampi, Chris H Kim, Chris Van Hoof, Mario Konijnenburg, Marian Verhelst, and Nick Van Helleputte · Conference Proceeding · 2019 2019 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS 2019); 2019; pp.
Sub-Word Parallel Precision-Scalable MAC Engines for Efficient Embedded DNN Inference Linyan Mei, Mohit Dandekar, Dimitrios Rodopoulos, Jeremy Constantin, Peter Debacker, Rudy Lauwereins, and Marian Verhelst · Conference Proceeding · 2019 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS); 2019; pp. 6 - 10
A Wearable Wrist-Band with Compressive Sensing based Ultra-Low Power Photoplethysmography Readout Circuit Parvez Ahmmed, James Dieffenderfer, Jose Manuel Valero-Sarmiento, Venkata Rajesh Pamula, Nick Van Helleputte, Chris Van Hoof, Marian Verhelst, and Alper Bozkurt · Conference Proceeding · 2019 2019 IEEE 16TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN); 2019; pp.
ProbLP: A framework for low-precision probabilistic inference Nimish Shah, Laura I Galindez Olascoaga, Wannes Meert, and Marian Verhelst · Conference Proceeding · 2019 Proceedings of the 56th Annual Design Automation Conference 2019; 2019; pp. 190:1 - 6
A 64-channel, 1.1-pA-accurate On-chip Potentiostat for Parallel Electrochemical Monitoring Peishuo Li, Tom Molderez, Frederik Ceyssens, Korneel Rabaey, and Marian Verhelst · Conference Proceeding · 2019 ESSCIRC 2019 - IEEE 45th European Solid State Circuits Conference (ESSCIRC); 2019; pp. 317 - 320
Exploration and Design of Low-Energy Logic Cells for 1 kHz Always-on Systems Maxime Feyerick, Jaro De Roose, and Marian Verhelst · Conference Proceeding · 2019 Proceedings of the 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE; 2019; pp. 1697 - 1702
An Always-On 3.8 mu J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, and Boris Murmann · Journal Article · 2019 IEEE Journal Of Solid-State Circuits; 2019; Vol. 54; iss. 1; pp. 158 - 172
A high-bandwidth fine-pitch 2.57Tbps/mm in-package communication link achieving 48fJ/bit/mm efficiency N Pantano, G Van der Plas, P Bex, P Nolmans, D Velenis, M Verhelst, and E Beyne · Conference Proceeding · 2019 2019 IEEE 69TH ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE (ECTC); 2019; pp. 674 - 681
Ultrasound In-Body Communication with OFDM through Multipath Realistic Channels Thomas Bos, Wim Dehaene, and Marian Verhelst · Conference Proceeding · 2019 2019 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS 2019); 2019; pp.
18μW SoC for near-microphone Keyword Spotting and Speaker Verification Juan Sebastian Piedrahita Giraldo, Steven Lauwereins, Komail Badami, Hugo Van hamme, and Marian Verhelst · Conference Proceeding · 2019 2019 Symposium on VLSI Circuits; 2019; pp.
A 5GS/s 158.6mW 12b Passive-Sampling 8×-Interleaved Hybrid ADC with 9.4 ENOB and 160.5dB FoMS in 28nm CMOS Athanasios Ramkaj, Juan Carlos Pena Ramos, Yifan Lyu, Maarten Strackx, Marcel Pelgrom, Michiel Steyaert, Marian Verhelst, and Filip Tavernier · Conference Proceeding · 2019 ISSCC; 2019; Vol. 62; pp. 62 - 64
On Hardware-Aware Probabilistic Frameworks for Resource Constrained Embedded Applications Laura I Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, and Marian Verhelst · Conference Proceeding · 2019 FIFTH WORKSHOP ON ENERGY EFFICIENT MACHINE LEARNING AND COGNITIVE COMPUTING - NEURIPS EDITION (EMC2-NIPS 2019); 2019; pp. 66 - 70
Survey of Precision-Scalable Multiply-Accumulate Units for Neural-Network Processing Vincent Camus, Christian Enz, and Marian Verhelst · Conference Proceeding · 2019 2019 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE CIRCUITS AND SYSTEMS (AICAS 2019); 2019; pp. 57 - 61
Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification Laura Isabel Galindez Olascoaga, K Badami, J Vlasselaer, W Meert, and M Verhelst · Journal Article · 2018 IEEE Journal On Emerging And Selected Topics In Circuits And Systems; 2018; Vol. 8; iss. 4; pp. 858 - 872
Optimized Hierarchical Cascaded Processing Koen Goetschalckx, Bert Moons, Steven Lauwereins, Martin Andraud, and Marian Verhelst · Journal Article · 2018 IEEE Journal On Emerging And Selected Topics In Circuits And Systems; 2018; Vol. 8; iss. 4; pp. 884 - 894
Architecture optimization for energy-efficient resolution-scalable 8-12-bit SAR ADCs Thomas Bos, Komail Badami, Wim Dehaene, and Marian Verhelst · Journal Article · 2018 Analog Integrated Circuits And Signal Processing; 2018; Vol. 97; iss. 3; pp. 437 - 448
A Fully Configurable Non-Linear Mixed-Signal Interface for Multi-Sensor Analytics Juan-Carlos Pena-Ramos, Komail Badami, Steven Lauwereins, and Marian Verhelst · Journal Article · 2018 IEEE Journal Of Solid-State Circuits; 2018; Vol. 53; iss. 11; pp. 3140 - 3149
Digital Enhancement of SAR ADCs J Peña Ramos · Dissertation · 2018
A 0.6V 54DB SNR Analog Frontend with 0.18% THD for Low Power Sensory Applications in 65NM CMOS K Badami, KD Murthy, P Harpe, and M Verhelst · Conference Proceeding · 2018 IEEE Symposium on VLSI Circuits, Digest of Technical Papers; 2018; Vol. 2018-June; pp. 241 - 242
Cross-Layer Self-Adaptivity for Ultra-Low Power Responsive IoT Devices: Analysing Task Hierarchy and Task Adaptivity at Different Optimisation Levels S Lauwereins · Dissertation · 2018
From on-chip self-healing to self-adaptivity in analog/RF ICs: Challenges and opportunities M Andraud and M Verhelst · Conference Proceeding · 2018 2018 IEEE 24th International Symposium on On-Line Testing and Robust System Design, IOLTS 2018; 2018; pp. 131 - 134
Towards resource-efficient classifiers for always-on monitoring Jonas Vlasselaer, Wannes Meert, and Marian Verhelst · Conference Proceeding · 2018 Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD); 2018; Vol. 11053 LNAI; pp. 305 - 321
Evolving hardware instinctive behaviors in resource-scarce agent swarms exploring hard-to-reach environments M Andraud, E Cantatore, A Hallawa, G Ascheid, J De Roose, and M Verhelst · Conference Proceeding · 2018 GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion; 2018; pp. 1497 - 1504
Efficiently Combining SVD, Pruning, Clustering and Retraining for Enhanced Neural Network Compression Koen Goetschalckx, Bert Moons, Patrick Wambacq, and Marian Verhelst · Conference Proceeding · 2018 EMDL'18: 2nd International Workshop on Embedded and Mobile Deep Learning , June 15, 2018, Munich, Germany; 2018; pp.
Distributed adaptive signal estimation in wireless sensor networks with noise in the exchanged signals F de la Hucha Arce, Marc Moonen, Marian Verhelst, and A Bertrand · Other · 2018
Embedded Deep Learning - Algorithms, Architectures and Circuits for Always-On Neural Network Processing B Moons · Dissertation · 2018
Feature Noise Tuning for Resource Efficient Bayesian Network Classifiers Laura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, and Marian Verhelst · Conference Proceeding · 2018 ESANN 2018 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.; 2018; pp. 147 - 152
BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip in 28nm CMOS Bert Moons, Daniel Bankman, Lita Yang, Boris Murmann, and Marian Verhelst · Conference Proceeding · 2018 2018 IEEE CUSTOM INTEGRATED CIRCUITS CONFERENCE (CICC); 2018; Vol. abs/1804.05554; pp. 1 - 4
An Always-On 3.8uJ/86% CIFAR-10 Mixed-Signal Binary CNN Processor with All Memory on Chip in 28nm CMOS Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, and Boris Murmann · Conference Proceeding · 2018 2018 IEEE INTERNATIONAL SOLID-STATE CIRCUITS CONFERENCE - (ISSCC); 2018; Vol. 61; pp. 222 - 224
Mixed-Signal Programmable Non-Linear Interface for Resource-Efficient Multi-Sensor Analytics Komail Badami, JC Peña Ramos, Steven Lauwereins, and Marian Verhelst · Conference Proceeding · 2018 2018 IEEE INTERNATIONAL SOLID-STATE CIRCUITS CONFERENCE - (ISSCC); 2018; Vol. 61; pp. 344 - +
TRIG: Hardware Accelerator for Inference-Based Applications and Experimental Demonstration Using Carbon Nanotube FETs Gage Hills, Daniel Bankman, Bert Moons, Lita Yang, Jake Hillard, Alex Kahng, Rebecca Park, Marian Verhelst, Boris Murmann, Max M Shulaker, H-S Philip Wong, and Subhasish Mitra · Conference Proceeding · 2018 2018 55TH ACM/ESDA/IEEE DESIGN AUTOMATION CONFERENCE (DAC); 2018; Vol. Part F137710; pp.
A multi-layered energy consumption model for smart wireless acoustic sensor networks Gert Dekkers, Fernando Rosas, Steven Lauwereins, Steven Rajendran, Sofie Pollin, Bart Vanrumste, Toon van Waterschoot, Marian Verhelst, and Peter Karsmakers · Text Resource · 2018 CoRR; 2018; Vol. abs/1812.06672
Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor Lita Yang, Daniel Bankman, Bert Moons, Marian Verhelst, and Boris Murmann · Conference Proceeding · 2018 2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS); 2018; Vol. 2018-May; pp.
Exploiting FDSOI towards minimum energy point operation in processors and machine learning accelerators Marian Verhelst · Conference Proceeding · 2018 ESSCIRC 2018 - IEEE 44TH EUROPEAN SOLID STATE CIRCUITS CONFERENCE (ESSCIRC); 2018; pp. 217 - 217
Laika: A 5uW programmable LSTM accelerator for always-on keyword spotting in 65nm CMOS JSP Giraldo and Marian Verhelst · Conference Proceeding · 2018 ESSCIRC 2018 - IEEE 44TH EUROPEAN SOLID STATE CIRCUITS CONFERENCE (ESSCIRC); 2018; pp. 166 - 169
Exploiting FDSOI towards minimum energy point operation in processors and machine learning accelerators Marian Verhelst · Conference Proceeding · 2018 2018 48TH EUROPEAN SOLID-STATE DEVICE RESEARCH CONFERENCE (ESSDERC); 2018; pp. 157 - 157
Flexible and Self-adaptive Sense-and-Compress for sub-microWatt always-on sensory recording Jaro De Roose, Haoming Xin, Martin Andraud, Pieter JA Harpe, and Marian Verhelst · Conference Proceeding · 2018 ESSCIRC 2018 - IEEE 44TH EUROPEAN SOLID STATE CIRCUITS CONFERENCE (ESSCIRC); 2018; pp. 282 - 285
U.S. patent: System and method for cuffless blood pressure estimation Venkata Rajesh Pamula and Marian Verhelst · Other · 2018
On the use of Bayesian Networks for Resource-Efficient Self-Calibration of Analog/RF ICs Martin Andraud, Laura Galindez, Yichuan Lu, Yiorgos Makris, and Marian Verhelst · Conference Proceeding · 2018 2018 IEEE INTERNATIONAL TEST CONFERENCE (ITC); 2018; Vol. 2018-October; pp.
Modelling of Channels for Intra-Corporal Ultrasound Communication Wentao Jiang, thomas Bos, wim Dehaene, Marian Verhelst, and jan D'hooge · Conference Proceeding · 2018 2018 IEEE International Ultrasonics Symposium (IUS); 2018; Vol. 2018-October; pp.
Successive Parabolic Interpolation as Extremum Seeking Control for Microbial Fuel & Electrolysis Cells Tom Molderez, Bas de Wit, Korneel Rabaey, and Marian Verhelst · Conference Proceeding · 2017 IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY; 2017; Vol. 2017-January; pp. 3128 - 3133
Minimum Energy Quantized Neural Networks Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, and Marian Verhelst · Conference Proceeding · 2017 2017 FIFTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS; 2017; Vol. 2017-October; pp. 1921 - 1925
Embedded Deep Neural Network Processing: Algorithmic and Processor Techniques Bring Deep Learning to IoT and Edge Devices Marian Verhelst and Bert Moons · Journal Article · 2017 IEEE Solid-State Circuits Magazine ; 2017; Vol. 9; iss. 4; pp. 55 - 65
The SINS database for detection of daily activities in a home environment using an Acoustic Sensor Network Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Bertold Van den Bergh, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers · Conference Proceeding · 2017 Detection and Classification of Acoustic Scenes and Events 2017; 2017; pp. 1 - 5
Optimal Tiling Strategy for Memory Bandwidth Reduction for CNNs Leonardo Cecconi, Sander Smets, Luca Benini, and Marian Verhelst · Conference Proceeding · 2017 ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS (ACIVS 2017); 2017; Vol. 10617; pp. 89 - 100
Adaptive Quantization for Multichannel Wiener Filter-Based Speech Enhancement in Wireless Acoustic Sensor Networks Fernando de la Hucha Arce, Marc Moonen, Marian Verhelst, and Alexander Bertrand · Journal Article · 2017 Wireless Communications & Mobile Computing; 2017; Vol. 2017; pp.
Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents Ahmed Hallawa, Jaro De Roose, Martin Andraud, Marian Verhelst, and Gerd Ascheid · Conference Proceeding · 2017 Proceedings of the Genetic and Evolutionary Computation Conference GECCO ; 2017; pp. 1727 - 1734
Design and Implementation of UWB Transceivers for Internet of Things Applications Iman Khajenasiri · Dissertation · 2017
An integrated sensor board for real-time optimization of the electrical settings of a microbial electrolysis cell Tom R Molderez, Xu Zhang, Marian Verhelst, and Korneel Rabaey · Other · 2017
Multidisciplinary Learning through Implementation of the DVB-S2 Standard Yuri Murillo Mange, Bertold Van den Bergh, Jona Beysens, Alexander Bertrand, Wim Dehaene, Panos Patrinos, Tinne Tuytelaars, Ruth Sabariego, Marian Verhelst, Patrick Wambacq, and Sofie Pollin · Journal Article · 2017 IEEE Communications Magazine; 2017; Vol. 55; iss. 5; pp. 124 - 130
Adaptive quantization for speech enhancement in wireless acoustic sensor networks Fernando de la Hucha Arce, Marc Moonen, Marian Verhelst, and Alexander Bertrand · Conference Proceeding · 2017 Proc. of the 2017 Symposium on Information Theory and Signal Processing in the Benelux ; 2017; pp. 105 - 106
An Energy-Efficient Precision-Scalable ConvNet Processor in 40-nm CMOS Bert Moons and Marian Verhelst · Journal Article · 2017 IEEE Journal of Solid-State Circuits ; 2017; Vol. 52; iss. 4; pp. 903 - 914
DVAFS: Trading Computational Accuracy for Energy Through Dynamic-Voltage-Accuracy-Frequency-Scaling Bert Moons, Roel Uytterhoeven, Wim Dehaene, and Marian Verhelst · Conference Proceeding · 2017 Design, Automation and Test in Europe (DATE) ; 2017; Vol. 20; pp. 488 - 493
Exploring the unknown through successive generations of low power and low resource versatile agents Martin Andraud, Gonenc Berkol, Jaro De Roose, Santosh Gannavarapu, Haoming Xin, Eugenio Cantatore, Pieter Harpe, Marian Verhelst, and Pieter Baltus · Conference Proceeding · 2017 Proceedings of Design Automation and Test conference 2017; 2017; pp. 290 - 293
Saving energy in WSNs for acoustic surveillance applications while maintaining QoS Bart Thoen, Geoffrey Ottoy, Fernando Rosas, Steven Lauwereins, Sreeraj Rajendran, Lieven De Strycker, Sofie Pollin, and Marian Verhelst · Conference Proceeding · 2017 Proceedings 2017 IEEE SENSORS APPLICATIONS SYMPOSIUM (SAS) ; 2017; pp. 1 - 6
Envision: A 0.26-to-10 TOPS/W Subword-Parallel Dynamic-Voltage-Accuracy-Frequency-Scalable Convolutional Neural Network Processor in 28nm FDSOI Bert Moons, Roel Uytterhoeven, Wim Dehaene, and Marian Verhelst · Conference Proceeding · 2017 IEEE International Solid-State Circuits Conference (ISSCC) ; 2017; Vol. 60; pp. 246 - 247
Split-Delta Background Calibration for SAR ADCs JC Peña Ramos and Marian Verhelst · Journal Article · 2017 IEEE Transactions on Circuits and Systems 2, Express Briefs ; 2017; Vol. 64; iss. 2; pp. 221 - 225
Impact of Interference Correlation on the Decoding Error Statistics Fernando Rosas, Konstantinos Manolakis, Christian Oberli, M Mahdi Azari, Marian Verhelst, and Sofie Pollin · Conference Proceeding · 2017 2017 FIFTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS; 2017; Vol. 2017-October; pp. 1115 - 1119
System and Method for Heart Rate Detection with Motion Artifact Reduction Venkata Rajesh Pamula and Marian Verhelst · Other · 2017
A 172 $\mu$W Compressively Sampled Photoplethysmographic (PPG) readout ASIC with Heart Rate Estimation Directly from Compressively Sampled Data Venkata Rajesh Pamula, Jose Manuel Valero-Sarmiento, Long Yan, Alper Bozkurt, Chris Van Hoof, Nick Van Helleputte, Refet Firat Yazicioglu, and Marian Verhelst · Journal Article · 2017 IEEE Transactions on Biomedical Circuits and Systems ; 2017; Vol. 11; iss. 3; pp. 487 - 496
An 8-11 Bit 320kS/S Resolution Scalable Noise Shaping SAR ADC Thomas Bos, Komail Badami, Wim Dehaene, and Marian Verhelst · Conference Proceeding · 2017 2017 15th IEEE International New Circuits and Systems Conference ; 2017; Vol. 15; pp. 209 - 212
A review on Internet of Things Solutions for Intelligent Energy control in buildings for smart city applications Iman Khajenasiri, Abouzar Estebsari, Marian Verhelst, and Georges Gielen · Conference Proceeding · 2017 8TH INTERNATIONAL CONFERENCE ON SUSTAINABILITY IN ENERGY AND BUILDINGS, SEB-16; 2017; Vol. 111; pp. 770 - 779
An ultra-low power, robust photoplethysmographic readout exploiting compressive sampling, artifact reduction and sensor fusion Venkata Rajesh Pamula, Chris Van Hoof, and Marian Verhelst · Book Chapter · 2017 Hybrid ADCs, Smart Sensors for the IoT, and sub-1V & Advanced Node Analog Circuit Design ; 2017; pp. 145 - 163
Custom Processor Design for Efficient, yet Flexible Lucas-Kanade Optical Flow Sander Smets, Toon Goedemé, and Marian Verhelst · Conference Proceeding · 2016 Design and Architectures for Signal and Image Processing (DASIP), 2016 Conference on ; 2016; pp. 138 - 145