Marian Verhelst
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
68
Venues
31
Active years
2004–2026
Best venue rank
A*
Where they publish
- ADATE11 papers
- CISCAS8 papers
- A*DAC5 papers
- AISLPED5 papers
- NationalACSSC4 papers
- A*HPCA3 papers
- MulticonferenceICASSP3 papers
- BASPDAC2 papers
- BISPASS2 papers
- CICCD2 papers
- BESANN2 papers
- AGECCO2 papers
- A*ASPLOS1 paper
- A*ISCA1 paper
- ACGO1 paper
- A*CVPR1 paper
- AICCAD1 paper
- A*MICRO1 paper
- A*ECCV1 paper
- BIDA1 paper
- CAICCSA1 paper
- CBSN1 paper
- CIOLTS1 paper
- AITC1 paper
- AMobisys1 paper
- BACIVS1 paper
- CIECON1 paper
- AECAI1 paper
- AWACV1 paper
- NationalVTS1 paper
- BETS1 paper
Papers
68 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPDAC | Precision-Scalable Microscaling Datapaths with Optimized Reduction Tree for Efficient NPU Integration. | Stef Cuyckens, Xiaoling Yi, Robin Geens, Joren Dumoulin, Martin Wiesner, Chao Fang, Marian Verhelst |
| 2026 | ASPLOS | The Configuration Wall: Characterization and Elimination of Accelerator Configuration Overhead. | Josse Van Delm, Anton Lydike, Joren Dumoulin, Jonas Crols, Xiaoling Yi, Ryan Antonio, Jackson Woodruff, Tobias Grosser, Marian Verhelst |
| 2026 | DATE | Torrent : A Distributed DMA for Efficient and Flexible Point-to-Multipoint Data Movement. | Yunhao Deng, Fanchen Kong, Xiaoling Yi, Ryan Antonio, Marian Verhelst |
| 2026 | ISCA | $\mathrm{P}^{3}$-LLM: An Integrated NPU-PIM Accelerator for Edge LLM Inference Using Hybrid Numerical Formats. | Yuzong Chen, Chao Fang, Xilai Dai, Yuheng Wu, Thierry Tambe, Marian Verhelst, Mohamed S. Abdelfattah |
| 2026 | ISCAS | A 16 nm 1.60TOPS/W High Utilization DNN Accelerator with 3D Spatial Data Reuse and Efficient Shared Memory Access. | Xiaoling Yi, Ryan Antonio, Yunhao Deng, Fanchen Kong, Joren Dumoulin, Jun Yin, Marian Verhelst |
| 2026 | ISPASS | Hardware Generation and Exploration of Lookup Table-Based Accelerators for 1.58-bit LLM Inference. | Robin Geens, Joran Heldens, Joren Dumoulin, Marian Verhelst |
| 2025 | ASPDAC | OpenGeMM: A Highly-Efficient GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling. | Xiaoling Yi, Ryan Antonio, Joren Dumoulin, Jiacong Sun, Josse Van Delm, Guilherme Pereira Paim, Marian Verhelst |
| 2025 | CGO | A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions. | Alexandre Lopoukhine, Federico Ficarelli, Christos Vasiladiotis, Anton Lydike, Josse Van Delm, Alban Dutilleul, Luca Benini, Marian Verhelst, Tobias Grosser |
| 2025 | DAC | DataMaestro: A Versatile and Efficient Data Streaming Engine Bringing Decoupled Memory Access To Dataflow Accelerators. | Xiaoling Yi, Yunhao Deng, Ryan Antonio, Fanchen Kong, Guilherme Paim, Marian Verhelst |
| 2025 | HPCA | Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format. | Chao Fang, Man Shi, Robin Geens, Arne Symons, Zhongfeng Wang, Marian Verhelst |
| 2025 | ICCD | XDMA: A Distributed, Extensible DMA Architecture for Layout-Flexible Data Movements in Heterogeneous Multi-Accelerator SoCs. | Fanchen Kong, Yunhao Deng, Xiaoling Yi, Ryan Antonio, Marian Verhelst |
| 2025 | ISCAS | CIPL: A Fast and Low-Power Level Shifter for Wide-Range Voltage Conversion. | Weijie Jiang, Xinfa Zheng, Jiacong Sun, Georges G. E. Gielen, Marian Verhelst, Wim Dehaene |
| 2025 | ISCAS | 3D IGZO Charge-Coupled Memory DTCO & STCO Analysis for Compute-near-Memory Applications. | Bowen Wang, Khakim Akhunov, Hyungrock Oh, Fernando Garca-Redondo, Yukai Chen, Arvind Sharma, Jiacong Sun, Sahan Gamage, Maarten Rosmeulen, Swaraj Bandhu Mahato, Rishabh Kishore, Subhali Subhechha, Jaydeep P. Kulkarni, Marian Verhelst, Dwaipayan Biswas, Marie Garcia Bardon, Wim Dehaene, Julien Ryckaert |
| 2025 | ISLPED | An Open-Source HW-SW Co-Development Framework Enabling Efficient Multi-Accelerator Systems. | Ryan Antonio, Joren Dumoulin, Xiaoling Yi, Josse Van Delm, Yunhao Deng, Guilherme Paim, Marian Verhelst |
| 2025 | ISLPED | Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning. | Stef Cuyckens, Xiaoling Yi, Nitish Satya Murthy, Chao Fang, Marian Verhelst |
| 2024 | DATE | TreeGRNG: Binary Tree Gaussian Random Number Generator for Efficient Probabilistic AI Hardware. | Jonas Crols, Guilherme Paim, Shirui Zhao, Marian Verhelst |
| 2024 | HPCA | BitWave: Exploiting Column-Based Bit-Level Sparsity for Deep Learning Acceleration. | Man Shi, Vikram Jain, Antony Joseph, Maurice Meijer, Marian Verhelst |
| 2024 | ISCAS | Enabling Efficient Hardware Acceleration of Hybrid Vision Transformer (ViT) Networks at the Edge. | Joren Dumoulin, Pouya Houshmand, Vikram Jain, Marian Verhelst |
| 2023 | CVPR | Hardware-aware NAS by Genetic Optimisation with a Design Space Exploration Simulator. | Lotte Hendrickx, Arne Symons, Wiebe Van Ranst, Marian Verhelst, Toon Goedem |
| 2023 | DAC | HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. | Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst |
| 2023 | DAC | PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge. | Vikram Jain, Matheus A. Cavalcante, Nazareno Bruschi, Michael Rogenmoser, Thomas Benz, Andreas Kurth, Davide Rossi, Luca Benini, Marian Verhelst |
| 2023 | DATE | PetaOps/W edge-AI $\mu$ Processors: Myth or reality? | 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 K. Grkaynak, 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 Gneysu, Henk Corporaal |
| 2023 | DATE | Genetic Algorithm-based Framework for Layer-Fused Scheduling of Multiple DNNs on Multi-core Systems. | Sebastian Karl, Arne Symons, Nael Fasfous, Marian Verhelst |
| 2023 | DATE | Real-Time Acoustic Perception for Automotive Applications. | Jun Yin, Stefano Damiano, Marian Verhelst, Toon van Waterschoot, Andre Guntoro |
| 2023 | HPCA | DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling. | Linyan Mei, Koen Goetschalckx, Arne Symons, Marian Verhelst |
| 2023 | ICCAD | Analog or Digital In-Memory Computing? Benchmarking Through Quantitative Modeling. | Jiacong Sun, Pouya Houshmand, Marian Verhelst |
| 2023 | ICCD | ACCO: Automated Causal CNN Scheduling Optimizer for Real-Time Edge Accelerators. | Jun Yin, Linyan Mei, Andre Guntoro, Marian Verhelst |
| 2023 | ISLPED | Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. | Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari |
| 2023 | ISPASS | Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators. | Arne Symons, Linyan Mei, Steven Colleman, Pouya Houshmand, Sebastian Karl, Marian Verhelst |
| 2022 | DATE | A Uniform Latency Model for DNN Accelerators with Diverse Architectures and Dataflows. | Linyan Mei, Huichu Liu, Tony F. Wu, Huseyin Ekin Sumbul, Marian Verhelst, Edith Beign |
| 2022 | DATE | Discrete Samplers for Approximate Inference in Probabilistic Machine Learning. | Shirui Zhao, Nimish Shah, Wannes Meert, Marian Verhelst |
| 2022 | MICRO | DPU-v2: Energy-efficient execution of irregular directed acyclic graphs. | Nimish Shah, Wannes Meert, Marian Verhelst |
| 2020 | DATE | Acceleration of probabilistic reasoning through custom processor architecture. | Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst |
| 2020 | ECCV | Feed-Forward On-Edge Fine-Tuning Using Static Synthetic Gradient Modules. | Robby Neven, Marian Verhelst, Tinne Tuytelaars, Toon Goedem |
| 2020 | IDA | Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. | Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst |
| 2019 | AICCSA | Efficient Keyword Spotting through Hardware-Aware Conditional Execution of Deep Neural Networks. | Juan Sebastian Piedrahita Giraldo, Chris O'Connor, Marian Verhelst |
| 2019 | DAC | ProbLP: A framework for low-precision probabilistic inference. | Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst |
| 2019 | DATE | Exploration and Design of Low-Energy Logic Cells for 1 kHz Always-on Systems. | Maxime Feyerick, Jaro De Roose, Marian Verhelst |
| 2019 | BSN | 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, Alper Bozkurt |
| 2018 | DAC | 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, Subhasish Mitra |
| 2018 | ESANN | Feature noise tuning for resource efficient Bayesian Network Classifiers. | Laura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, Marian Verhelst |
| 2018 | GECCO | Evolving hardware instinctive behaviors in resource-scarce agent swarms exploring hard-to-reach environments. | Martin Andraud, Ahmed Hallawa, Jaro De Roose, Eugenio Cantatore, Gerd Ascheid, Marian Verhelst |
| 2018 | IOLTS | From on-chip self-healing to self-adaptivity in analog/RF ICs: challenges and opportunities. | Martin Andraud, Marian Verhelst |
| 2018 | ISCAS | Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor. | Lita Yang, Daniel Bankman, Bert Moons, Marian Verhelst, Boris Murmann |
| 2018 | ITC | On the use of Bayesian Networks for Resource-Efficient Self-Calibration of Analog/RF ICs. | Martin Andraud, Laura Isabel Galindez Olascoaga, Yichuan Lu, Yiorgos Makris, Marian Verhelst |
| 2018 | Mobisys | Efficiently Combining SVD, Pruning, Clustering and Retraining for Enhanced Neural Network Compression. | Koen Goetschalckx, Bert Moons, Patrick Wambacq, Marian Verhelst |
| 2017 | ACIVS | Optimal Tiling Strategy for Memory Bandwidth Reduction for CNNs. | Leonardo Cecconi, Sander Smets, Luca Benini, Marian Verhelst |
| 2017 | ACSSC | Minimum energy quantized neural networks. | Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst |
| 2017 | ACSSC | Impact of interference correlation on the decoding error statistics. | Fernando Rosas, Konstantinos Manolakis, Christian Oberli, Mohammad Mahdi Azari, Marian Verhelst, Sofie Pollin |
| 2017 | DATE | Exploring the unknown through successive generations of low power and low resource versatile agents. | Martin Andraud, Gnen Berkol, Jaro De Roose, Santosh Gannavarapu, Haoming Xin, Eugenio Cantatore, Pieter J. A. Harpe, Marian Verhelst, Peter G. M. Baltus |
| 2017 | DATE | DVAFS: Trading computational accuracy for energy through dynamic-voltage-accuracy-frequency-scaling. | Bert Moons, Roel Uytterhoeven, Wim Dehaene, Marian Verhelst |
| 2017 | GECCO | Instinct-driven dynamic hardware reconfiguration: evolutionary algorithm optimized compression for autonomous sensory agents. | Ahmed Hallawa, Jaro De Roose, Martin Andraud, Marian Verhelst, Gerd Ascheid |
| 2017 | IECON | Successive parabolic interpolation as extremum seeking control for microbial fuel & electrolysis cells. | Tom R. Molderez, Bas de Wit, Korneel Rabaey, Marian Verhelst |
| 2016 | ACSSC | Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends. | Laura Isabel Galindez Olascoaga, Komail M. H. Badami, V. Rajesh Pamula, Steven Lauwereins, Wannes Meert, Marian Verhelst |
| 2016 | ECAI | Extending Naive Bayes with Precision-tunable Feature Variables for Resource-efficient Sensor Fusion. | Laura Isabel Galindez Olascoaga, Wannes Meert, Herman Bruyninckx, Marian Verhelst |
| 2016 | ISCAS | A switched-capacitor degenerated, scalable gm-C filter-bank for acoustic front-ends. | Komail M. H. Badami, V. Rajesh Pamula, Marian Verhelst |
| 2016 | WACV | Energy-efficient ConvNets through approximate computing. | Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst |
| 2015 | ACSSC | Using mobility for increasing the energy efficiency of multihop communications. | Fernando Rosas, Mohammad Mahdi Azari, Bertold Van den Bergh, Richard Demo Souza, Sofie Pollin, Marian Verhelst |
| 2015 | ICASSP | <30 mW rectangular-to-polar conversion processor in 802.11ad polar transmitter. | Chunshu Li, Andr Bourdoux, Marian Verhelst, Yanxiang Huang, Min Li, Liesbet Van der Perre, Sofie Pollin |
| 2015 | ISLPED | DVAS: Dynamic Voltage Accuracy Scaling for increased energy-efficiency in approximate computing. | Bert Moons, Marian Verhelst |
| 2014 | ESANN | Context- and cost-aware feature selection in ultra-low-power sensor interfaces. | Steven Lauwereins, Komail M. H. Badami, Wannes Meert, Marian Verhelst |
| 2014 | ICASSP | Efficient duty-cycle mismatch compensation in digital transmitter. | Chunshu Li, Min Li, Mark Ingels, Marian Verhelst, Xiaoqiang Zhang, Joris Van Driessche, Andr Bourdoux, Liesbet Van der Perre, Sofie Pollin |
| 2013 | ICASSP | Adaptive filter based low complexity digital intensive harmonic rejection for SDR receiver. | Chunshu Li, Min Li, Marian Verhelst, Sofie Pollin, Andr Bourdoux, Liesbet Van der Perre |
| 2012 | VTS | Built-in-Self Test of transmitter I/Q mismatch using self-mixing envelope detector. | Afsaneh Nassery, Srinath Byregowda, Sule Ozev, Marian Verhelst, Mustapha Slamani |
| 2011 | ETS | Extraction of EVM from Transmitter System Parameters. | Afsaneh Nassery, Sule Ozev, Marian Verhelst, Mustapha Slamani |
| 2011 | ISCAS | Orthogonally tunable inductorless RF LNA for adaptive wireless systems. | Shreyas Sen, Marian Verhelst, Abhijit Chatterjee |
| 2008 | ISCAS | A low-power mixing DAC IR-UWB-receiver. | Hans Danneels, Marian Verhelst, Pieter Palmers, Wim Vereecken, Bruno Boury, Wim Dehaene, Michiel Steyaert, Georges G. E. Gielen |
| 2004 | ISLPED | Architectures for low power ultra-wideband radio receivers in the 3.1-5GHz band for data rates < 10Mbps. | Marian Verhelst, Wim Vereecken, Michiel Steyaert, Wim Dehaene |