| ZigZag: Enlarging joint architecture-mapping design space exploration for DNN accelerators L Mei, P Houshmand, V Jain, S Giraldo, M Verhelst IEEE Transactions on Computers 70 (8), 1160-1174, 2021 | 93 | 2021 |
| Diana: An end-to-end energy-efficient digital and analog hybrid neural network soc K Ueyoshi, IA Papistas, P Houshmand, GM Sarda, V Jain, M Shi, Q Zheng, ... 2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 1-3, 2022 | 49 | 2022 |
| Diana: An end-to-end hybrid digital and analog neural network soc for the edge P Houshmand, GM Sarda, V Jain, K Ueyoshi, IA Papistas, M Shi, Q Zheng, ... IEEE Journal of Solid-State Circuits 58 (1), 203-215, 2022 | 29 | 2022 |
| 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 V Jain, S Giraldo, J De Roose, B Boons, L Mei, M Verhelst 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and …, 2022 | 21 | 2022 |
| ZigZag: A memory-centric rapid DNN accelerator design space exploration framework L Mei, P Houshmand, V Jain, S Giraldo, M Verhelst arXiv preprint arXiv:2007.11360, 2020 | 19 | 2020 |
| Efficient execution of temporal convolutional networks for embedded keyword spotting JSP Giraldo, V Jain, M Verhelst IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (12 …, 2021 | 17 | 2021 |
| Tinyvers: A tiny versatile system-on-chip with state-retentive eMRAM for ML inference at the extreme edge V Jain, S Giraldo, J De Roose, L Mei, B Boons, M Verhelst IEEE Journal of Solid-State Circuits, 2023 | 14 | 2023 |
| Enabling real-time object detection on low cost FPGAs V Jain, N Jadhav, M Verhelst Journal of Real-Time Image Processing 19 (1), 217-229, 2022 | 8 | 2022 |
| Analyzing the energy-latency-area-accuracy trade-off across contemporary neural networks V Jain, L Mei, M Verhelst 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 4 | 2021 |
| Variable-rate FEC decoder VLSI architecture for 400G rate-adaptive optical communication V Jain, C Fougstedt, P Larsson-Edefors 2019 26th IEEE International Conference on Electronics, Circuits and Systems …, 2019 | 4 | 2019 |
| CONVOLVE: Smart and seamless design of smart edge processors M Gomony, F Putter, A Gebregiorgis, G Paulin, L Mei, V Jain, S Hamdioui, ... arXiv preprint arXiv:2212.00873, 2022 | 3 | 2022 |
| PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge V Jain, M Cavalcante, N Bruschi, M Rogenmoser, T Benz, A Kurth, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 1 | 2023 |
| TinyVers: A Tiny Versatile All-Digital Heterogeneous Multi-core System-on-Chip V Jain, M Verhelst Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning …, 2023 | 1 | 2023 |
| Energy-Efficient Single-Core Hardware Acceleration V Jain, M Verhelst Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning …, 2023 | 1 | 2023 |
| DIANA: DIgital and ANAlog Heterogeneous Multi-core System-on-Chip V Jain, M Verhelst Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning …, 2023 | 1 | 2023 |
| BitWave: Exploiting Column-Based Bit-Level Sparsity for Deep Learning Acceleration M Shi, V Jain, A Joseph, M Meijer, M Verhelst 2024 IEEE International Symposium on High-Performance Computer Architecture …, 2024 | | 2024 |
| Scoping the Landscape of (Extreme) Edge Machine Learning Processors V Jain, M Verhelst Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning …, 2024 | | 2024 |
| Algorithmic Background for Machine Learning V Jain, M Verhelst Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning …, 2023 | | 2023 |
| Networks-on-Chip to Enable Large-Scale Multi-core ML Acceleration V Jain, M Verhelst Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning …, 2023 | | 2023 |
| Hardware–Software Co-optimization Through Design Space Exploration V Jain, M Verhelst Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning …, 2023 | | 2023 |
Marian VerhelstMicas - ESAT - KU Leuven, BelgiumVerified email at esat.kuleuven.be
