Marian Verhelst

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 189

Top Venues

CoRR

ISSCC

IEEE J. Solid State Circuits

DATE

Publications

Steven Colleman, Man Shi, Marian Verhelst
COAC: Cross-layer Optimization of Accelerator Configurability for Efficient CNN Processing. CoRR (2024)
Jonas Crols, Guilherme Paim, Shirui Zhao, Marian Verhelst
TreeGRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware. DATE (2024)
Steven Colleman, Arne Symons, Victor J. B. Jung, Marian Verhelst
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms. ISQED (2024)
Man Shi, Vikram Jain, Antony Joseph, Maurice Meijer, Marian Verhelst
BitWave: Exploiting Column-Based Bit-Level Sparsity for Deep Learning Acceleration. HPCA (2024)
Joren Dumoulin, Pouya Houshmand, Vikram Jain, Marian Verhelst
Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge. ISCAS (2024)
Jiacong Sun, Pouya Houshmand, Marian Verhelst
Analog or Digital In-memory Computing? Benchmarking through Quantitative Modeling. CoRR (2024)
Giuseppe M. Sarda, Nimish Shah, Debjyoti Bhattacharjee, Peter Debacker, Marian Verhelst
Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis. CoRR (2024)
Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. CoRR (2024)
Man Shi, Steven Colleman, Charlotte VanDeMieroop, Antony Joseph, Maurice Meijer, Wim Dehaene, Marian Verhelst
CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories. CoRR (2024)
Steven Colleman, Arne Symons, Victor J. B. Jung, Marian Verhelst
Optimizing Layer-Fused Scheduling of Transformer Networks on Multi-accelerator Platforms. CoRR (2024)
Brian Plancher, Sebastian Büttrich, Jeremy Ellis, Neena Goveas, Laila D. Kazimierski, Jesús Alfonso López Sotelo, Milan Lukic, Diego Mendez, Rosdiadee Nordin, Andrés Oliva Trevisan, Massimo Pavan, Manuel Roveri, Marcus Rüb, Jackline Tum, Marian Verhelst, Salah Abdeljabar, Segun Adebayo, Thomas Amberg, Halleluyah Aworinde, José Bagur, Gregg Barrett, Nabil Benamar, Bharat S. Chaudhari, Ronald Criollo, David Cuartielles, José A. Ferreira Filho, Solomon Gizaw, Evgeni Gousev, Alessandro Grande, Shawn Hymel, Peter Ing, Prashant Manandhar, Pietro Manzoni, Boris Murmann, Eric Pan, Rytis Paskauskas, Ermanno Pietrosemoli, Tales C. Pimenta, Marcelo Rovai, Marco Zennaro, Vijay Janapa Reddi
TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. AAAI Spring Symposia (2024)
Vikram Jain, Matheus A. Cavalcante, Nazareno Bruschi, Michael Rogenmoser, Thomas Benz, Andreas Kurth, Davide Rossi, Luca Benini, Marian Verhelst
PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge. CoRR (2023)
Steven Colleman, Man Shi, Marian Verhelst
COAC: Cross-Layer Optimization of Accelerator Configurability for Efficient CNN Processing. IEEE Trans. Very Large Scale Integr. Syst. 31 (7) (2023)
Jiacong Sun, Pouya Houshmand, Marian Verhelst
Analog or Digital In-Memory Computing? Benchmarking Through Quantitative Modeling. ICCAD (2023)
Weijie Jiang, Pouya Houshmand, Marian Verhelst, Wim Dehaene
and 23. 8TOPs/W. ESSCIRC (2023)
Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst
Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators. ISPASS (2023)
Sebastian Karl, Arne Symons, Nael Fasfous, Marian Verhelst
Genetic Algorithm-based Framework for Layer-Fused Scheduling of Multiple DNNs on Multi-core Systems. DATE (2023)
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. ISLPED (2023)
Koen Goetschalckx, Fengfeng Wu, Marian Verhelst
DepFiN: A 12-nm Depth-First, High-Resolution CNN Processor for IO-Efficient Inference. IEEE J. Solid State Circuits 58 (5) (2023)
Pouya Houshmand, Jiacong Sun, Marian Verhelst
Benchmarking and modeling of analog and digital SRAM in-memory computing architectures. CoRR (2023)
Jun Yin, Linyan Mei, Andre Guntoro, Marian Verhelst
ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators. ICCD (2023)
Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators. CoRR (2023)
Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. DAC (2023)
Jun Yin, Marian Verhelst
CNN-based Robust Sound Source Localization with SRP-PHAT for the Extreme Edge. ACM Trans. Embed. Comput. Syst. 22 (3) (2023)
Vikram Jain, Matheus A. Cavalcante, Nazareno Bruschi, Michael Rogenmoser, Thomas Benz, Andreas Kurth, Davide Rossi, Luca Benini, Marian Verhelst
PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge. DAC (2023)
Vikram Jain, Juan Sebastian P. Giraldo, Jaro De Roose, Linyan Mei, Bert Boons, Marian Verhelst
TinyVers: A Tiny Versatile System-on-chip with State-Retentive eMRAM for ML Inference at the Extreme Edge. CoRR (2023)
Lotte Hendrickx, Arne Symons, Wiebe Van Ranst, Marian Verhelst, Toon Goedemé
Hardware-aware NAS by Genetic Optimisation with a Design Space Exploration Simulator. CVPR Workshops (2023)
Yingping Chen, Bernardo Tacca, Yunzhu Chen, Dwaipayan Biswas, Georges G. E. Gielen, Francky Catthoor, Marian Verhelst, Carolina Mora Lopez
An Online-Spike-Sorting IC Using Unsupervised Geometry-Aware OSort Clustering for Efficient Embedded Neural-Signal Processing. IEEE J. Solid State Circuits 58 (11) (2023)
Pouya Houshmand, Giuseppe Maria Sarda, Vikram Jain, Kodai Ueyoshi, Ioannis A. Papistas, Man Shi, Qilin Zheng, Debjyoti Bhattacharjee, Arindam Mallik, Peter Debacker, Diederik Verkest, Marian Verhelst
DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the Edge. IEEE J. Solid State Circuits 58 (1) (2023)
Peishuo Li, Tom R. Molderez, David H. Villamor, Antonin Prévoteau, Marian Verhelst
A 96-Channel 40nm CMOS Potentiostat for Parallel Experiments on Microbial Electrochemical Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (1) (2023)
Man Shi, Steven Colleman, Charlotte VanDeMieroop, Antony Joseph, Maurice Meijer, Wim Dehaene, Marian Verhelst
CMDS: Cross-layer Dataflow Optimization for DNN Accelerators Exploiting Multi-bank Memories. ISQED (2023)
Vikram Jain, Juan Sebastian Piedrahita Giraldo, Jaro De Roose, Linyan Mei, Bert Boons, Marian Verhelst
TinyVers: A Tiny Versatile System-on-Chip With State-Retentive eMRAM for ML Inference at the Extreme Edge. IEEE J. Solid State Circuits 58 (8) (2023)
Giuseppe Maria Sarda, Nimish Shah, Debjyoti Bhattacharjee, Peter Debacker, Marian Verhelst
Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis. IISWC (2023)
Manil Dev Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, Linyan Mei, Vikram Jain, Said Hamdioui, Victor Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Friedemann Zenke, Frank Gurkaynak, Barry de Bruin, Sander Stuijk, Simon Davidson, Sayandip De, Mounir Ghogho, Alexandra Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, Sam Ainsworth, Federico Corradi, Ouassim Karrakchou, Tim Güneysu, Henk Corporaal
PetaOps/W edge-AI $\mu$ Processors: Myth or reality? DATE (2023)
Victor J. B. Jung, Arne Symons, Linyan Mei, Marian Verhelst, Luca Benini
SALSA: Simulated Annealing based Loop-Ordering Scheduler for DNN Accelerators. AICAS (2023)
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. CoRR (2023)
Thomas Bos, Marian Verhelst, Wim Dehaene
An End-to-End Dual ASIC OFDM Transceiver for Ultrasound In-Body Communication. IEEE Trans. Biomed. Circuits Syst. 17 (4) (2023)
Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR (2023)
Linyan Mei, Koen Goetschalckx, Arne Symons, Marian Verhelst
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling. HPCA (2023)
Jun Yin, Stefano Damiano, Marian Verhelst, Toon van Waterschoot, Andre Guntoro
Real-Time Acoustic Perception for Automotive Applications. DATE (2023)
Yingping Chen, Bernardo Tacca, Yunzhu Chen, Dwaipayan Biswas, Georges G. E. Gielen, Francky Catthoor, Marian Verhelst, Carolina Mora Lopez
/Ch and $1.78\mu \text{W/ch}$. ISSCC (2023)
Nimish Shah, Wannes Meert, Marian Verhelst
GraphOpt: Constrained-Optimization-Based Parallelization of Irregular Graphs. IEEE Trans. Parallel Distributed Syst. 33 (12) (2022)
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
DPU: DAG Processing Unit for Irregular Graphs With Precision-Scalable Posit Arithmetic in 28 nm. IEEE J. Solid State Circuits 57 (8) (2022)
Manil Gomony, Floran de Putter, Anteneh Gebregiorgis, Gianna Paulin, L. Mei, V. Jain, Said Hamdioui, V. Sanchez, Tobias Grosser, Marc Geilen, Marian Verhelst, Frank K. Zenke, F. Gurkaynak, Barry de Bruin, Sander Stuijk, S. Davidson, S. De, M. Ghogho, A. Jimborean, Sherif Eissa, Luca Benini, Dimitrios Soudris, Rajendra Bishnoi, S. Ainsworth, Federico Corradi, O. Karrakchou, Tim Güneysu, Henk Corporaal
CONVOLVE: Smart and seamless design of smart edge processors. CoRR (2022)
Maxim Bonnaerens, Matthias Freiberger, Marian Verhelst, Joni Dambre
Hardware-aware mobile building block evaluation for computer vision. CoRR (2022)
Nimish Shah, Wannes Meert, Marian Verhelst
DPU-v2: Energy-efficient execution of irregular directed acyclic graphs. MICRO (2022)
Nimish Shah, Wannes Meert, Marian Verhelst
DPU-v2: Energy-efficient execution of irregular directed acyclic graphs. CoRR (2022)
Shirui Zhao, Nimish Shah, Wannes Meert, Marian Verhelst
Discrete Samplers for Approximate Inference in Probabilistic Machine Learning. DATE (2022)
Nitish Satya Murthy, Peter Vrancx, Nathan Laubeuf, Peter Debacker, Francky Catthoor, Marian Verhelst
Learn to Learn on Chip: Hardware-aware Meta-learning for Quantized Few-shot Learning at the Edge. SEC (2022)
Kodai Ueyoshi, Ioannis A. Papistas, Pouya Houshmand, Giuseppe M. Sarda, Vikram Jain, Man Shi, Qilin Zheng, Juan Sebastian P. Giraldo, Peter Vrancx, Jonas Doevenspeck, Debjyoti Bhattacharjee, Stefan Cosemans, Arindam Mallik, Peter Debacker, Diederik Verkest, Marian Verhelst
DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC. ISSCC (2022)
Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst
Towards Heterogeneous Multi-core Accelerators Exploiting Fine-grained Scheduling of Layer-Fused Deep Neural Networks. CoRR (2022)
Linyan Mei, Huichu Liu, Tony F. Wu, H. Ekin Sumbul, Marian Verhelst, Edith Beigné
A Uniform Latency Model for DNN Accelerators with Diverse Architectures and Dataflows. DATE (2022)
Geoffrey W. Burr, SukHwan Lim, Boris Murmann, Rangharajan Venkatesan, Marian Verhelst
Fair and Comprehensive Benchmarking of Machine Learning Processing Chips. IEEE Des. Test 39 (3) (2022)
Linyan Mei, Koen Goetschalckx, Arne Symons, Marian Verhelst
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling. CoRR (2022)
Vikram Jain, Juan Sebastian P. Giraldo, Jaro De Roose, Bert Boons, Linyan Mei, Marian Verhelst
TinyVers: A 0.8-17 TOPS/W, 1.7 μW-20 mW, Tiny Versatile System-on-chip with State-Retentive eMRAM for Machine Learning Inference at the Extreme Edge. VLSI Technology and Circuits (2022)
Zuzana Jelcicová, Marian Verhelst
Delta Keyword Transformer: Bringing Transformers to the Edge through Dynamically Pruned Multi-Head Self-Attention. CoRR (2022)
Steven Colleman, Peter Zhu, Wei Sun, Marian Verhelst
Optimizing Accelerator Configurability for Mobile Transformer Networks. AICAS (2022)
Ehab M. Ibrahim, Linyan Mei, Marian Verhelst
Taxonomy and Benchmarking of Precision-Scalable MAC Arrays Under Enhanced DNN Dataflow Representation. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (5) (2022)
Vikram Jain, Ninad Jadhav, Marian Verhelst
Enabling real-time object detection on low cost FPGAs. J. Real Time Image Process. 19 (1) (2022)
Thomas Bos, Marian Verhelst, Wim Dehaene
A Flexible End-to-End Dual ASIC Transceiver for OFDM Ultrasound In-Body Communication. BioCAS (2022)
Peishuo Li, Tom R. Molderez, Marian Verhelst
A 96-channel 40nm CMOS Fully-Integrated Potentiostat for Electrochemical Monitoring. ESSDERC (2021)
Tom Vermeulen, Brecht Reynders, Fernando E. Rosas, Marian Verhelst, Sofie Pollin
Performance analysis of in-band collision detection for dense wireless networks. EURASIP J. Wirel. Commun. Netw. 2021 (1) (2021)
Nimish Shah, Wannes Meert, Marian Verhelst
GRAPHOPT: constrained optimization-based parallelization of irregular graphs. CoRR (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nm. CoRR (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
ProbLP: A framework for low-precision probabilistic inference. CoRR (2021)
Vikram Jain, Linyan Mei, Marian Verhelst
Analyzing the Energy-Latency-Area-Accuracy Trade-off Across Contemporary Neural Networks. AICAS (2021)
Arne Symons, Linyan Mei, Marian Verhelst
LOMA: Fast Auto-Scheduling on DNN Accelerators through Loop-Order-based Memory Allocation. AICAS (2021)
Linyan Mei, Pouya Houshmand, Vikram Jain, Juan Sebastian P. Giraldo, Marian Verhelst
ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators. IEEE Trans. Computers 70 (8) (2021)
Zuzana Jelcicová, Rasmus Jones, David Thorn Blix, Marian Verhelst, Jens Sparsø
PeakRNN and StatsRNN: Dynamic Pruning in Recurrent Neural Networks. EUSIPCO (2021)
Juan Sebastian P. Giraldo, Marian Verhelst
Hardware Acceleration for Embedded Keyword Spotting: Tutorial and Survey. ACM Trans. Embed. Comput. Syst. 20 (6) (2021)
Juan Sebastian P. Giraldo, Vikram Jain, Marian Verhelst
Efficient Execution of Temporal Convolutional Networks for Embedded Keyword Spotting. IEEE Trans. Very Large Scale Integr. Syst. 29 (12) (2021)
Man Shi, Pouya Houshmand, Linyan Mei, Marian Verhelst
Hardware-Efficient Residual Neural Network Execution in Line-Buffer Depth-First Processing. IEEE J. Emerg. Sel. Topics Circuits Syst. 11 (4) (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
9.4 PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm. ISSCC (2021)
Steven Colleman, Marian Verhelst
High-Utilization, High-Flexibility Depth-First CNN Coprocessor for Image Pixel Processing on FPGA. IEEE Trans. Very Large Scale Integr. Syst. 29 (3) (2021)
Ehab M. Ibrahim, Linyan Mei, Marian Verhelst
Survey and Benchmarking of Precision-Scalable MAC Arrays for Embedded DNN Processing. CoRR (2021)
Steven Colleman, Thomas Verelst, Linyan Mei, Tinne Tuytelaars, Marian Verhelst
Processor Architecture Optimization for Spatially Dynamic Neural Networks. VLSI-SoC (2021)
Tom R. Molderez, Korneel Rabaey, Marian Verhelst
A Scalable 128-Channel, Time-Multiplexed Potentiostat for Parallel Electrochemical Experiments. IEEE Trans. Circuits Syst. I Regul. Pap. 68 (3) (2021)
Peishuo Li, Tom R. Molderez, Marian Verhelst
A 96-channel 40nm CMOS Fully-Integrated Potentiostat for Electrochemical Monitoring. ESSCIRC (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
Acceleration of probabilistic reasoning through custom processor architecture. CoRR (2021)
Koen Goetschalckx, Marian Verhelst
DepFiN: A 12nm, 3.8TOPs depth-first CNN processor for high res. image processing. VLSI Circuits (2021)
Leandro Mateus Giacomini Rocha, Dwaipayan Biswas, Bram-Ernst Verhoef, Sergio Bampi, Chris Van Hoof, Mario Konijnenburg, Marian Verhelst, Nick Van Helleputte
Binary CorNET: Accelerator for HR Estimation From Wrist-PPG. IEEE Trans. Biomed. Circuits Syst. 14 (4) (2020)
Fernando de la Hucha Arce, Marc Moonen, Marian Verhelst, Alexander Bertrand
Distributed adaptive node-specific signal estimation in a wireless sensor network with noisy links. Signal Process. 166 (2020)
Juan Sebastian P. Giraldo, Steven Lauwereins, Komail M. H. Badami, Marian Verhelst
Vocell: A 65-nm Speech-Triggered Wake-Up SoC for 10- $\mu$ W Keyword Spotting and Speaker Verification. IEEE J. Solid State Circuits 55 (4) (2020)
Athanasios T. Ramkaj, Juan Carlos Pena Ramos, Marcel J. M. Pelgrom, Michiel S. J. Steyaert, Marian Verhelst, Filip Tavernier
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. IEEE J. Solid State Circuits 55 (6) (2020)
Tom R. Molderez, Korneel Rabaey, Marian Verhelst
An Affordable Multichannel Potentiostat with 128 Individual Stimulation and Sensing Channels. I2MTC (2020)
Fernando de la Hucha Arce, Panagiotis Patrinos, Marian Verhelst, Alexander Bertrand
On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks. IEEE Signal Process. Lett. 27 (2020)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. IDA (2020)
Colby R. Banbury, Vijay Janapa Reddi, Max Lam, William Fu, Amin Fazel, Jeremy Holleman, Xinyuan Huang, Robert Hurtado, David Kanter, Anton Lokhmotov, David A. Patterson, Danilo Pau, Jae-sun Seo, Jeff Sieracki, Urmish Thakker, Marian Verhelst, Poonam Yadav
Benchmarking TinyML Systems: Challenges and Direction. CoRR (2020)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
Acceleration of probabilistic reasoning through custom processor architecture. DATE (2020)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst
Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits. IoT Streams/ITEM@PKDD/ECML (2020)
Linyan Mei, Pouya Houshmand, Vikram Jain, Juan Sebastian P. Giraldo, Marian Verhelst
ZigZag: A Memory-Centric Rapid DNN Accelerator Design Space Exploration Framework. CoRR (2020)
Robby Neven, Marian Verhelst, Tinne Tuytelaars, Toon Goedemé
Feed-Forward On-Edge Fine-Tuning Using Static Synthetic Gradient Modules. ECCV Workshops (5) (2020)
Robby Neven, Marian Verhelst, Tinne Tuytelaars, Toon Goedemé
Feed-Forward On-Edge Fine-tuning Using Static Synthetic Gradient Modules. CoRR (2020)
Parvez Ahmmed, James Dieffenderfer, Jose Manuel Valero-Sarmiento, Venkata Rajesh Pamula, Nick Van Helleputte, Chris Van Hoof, Marian Verhelst, Alper Bozkurt
A Wearable Wrist-Band with Compressive Sensing based Ultra-Low Power Photoplethysmography Readout Circuit. BSN (2019)
Juan Sebastian P. Giraldo, Chris O'Connor, Marian Verhelst
Efficient Keyword Spotting through Hardware-Aware Conditional Execution of Deep Neural Networks. AICCSA (2019)
Sander Smets, Toon Goedemé, Anurag Mittal, Marian Verhelst
A 978GOPS/W Flexible Streaming Processor for Real-Time Image Processing Applications in 22nm FDSOI. ISSCC (2019)
Thomas Bos, Wentao Jiang, Jan D'hooge, Marian Verhelst, Wim Dehaene
Enabling Ultrasound In-Body Communication: FIR Channel Models and QAM Experiments. IEEE Trans. Biomed. Circuits Syst. 13 (1) (2019)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
ProbLP: A framework for low-precision probabilistic inference. DAC (2019)
Daniel Bankman, Lita Yang, Bert Moons, Marian Verhelst, Boris Murmann
An Always-On 3.8 $\mu$ J/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory on Chip in 28-nm CMOS. IEEE J. Solid State Circuits 54 (1) (2019)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, Guy Van den Broeck
Towards Hardware-Aware Tractable Learning of Probabilistic Models. NeurIPS (2019)

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Publication Activity (10 Years)

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Marian Verhelst