| Problp: A framework for low-precision probabilistic inference N Shah, LI Galindez Olascoaga, W Meert, M Verhelst Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 25 | 2019 |
| Towards Hardware-Aware Tractable Learning of Probabilistic Models LI Galindez Olascoaga, W Meert, N Shah, M Verhelst, G Van den Broeck In Advances in Neural Information Processing Systems (NeurIPS), 2019, 2019 | 22* | 2019 |
| DPU: DAG processing unit for irregular graphs with precision-scalable posit arithmetic in 28 nm N Shah, LIG Olascoaga, S Zhao, W Meert, M Verhelst IEEE Journal of Solid-State Circuits 57 (8), 2586-2596, 2021 | 17 | 2021 |
| Acceleration of probabilistic reasoning through custom processor architecture N Shah, LI Galindez Olascoaga, W Meert, M Verhelst 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 322-325, 2020 | 16 | 2020 |
| 9.4 piu: A 248gops/w stream-based processor for irregular probabilistic inference networks using precision-scalable posit arithmetic in 28nm N Shah, LIG Olascoaga, S Zhao, W Meert, M Verhelst 2021 IEEE International Solid-State Circuits Conference (ISSCC) 64, 150-152, 2021 | 12 | 2021 |
| On the role of hyperdimensional computing for behavioral prioritization in reactive robot navigation tasks A Menon, A Natarajan, LIG Olascoaga, Y Kim, B Benedict, JM Rabaey 2022 International Conference on Robotics and Automation (ICRA), 7335-7341, 2022 | 11 | 2022 |
| Dynamic sensor-frontend tuning for resource efficient embedded classification L Galindez, K Badami, J Vlasselaer, W Meert, M Verhelst IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018 | 8 | 2018 |
| A Brain-Inspired Hierarchical Reasoning Framework for Cognition-Augmented Prosthetic Grasping LI Galindez Olascoaga, A Menon, M Ibrahim, J Rabaey Combining Learning and Reasoning: Programming Languages, Formalisms, and …, 2021 | 6* | 2021 |
| On the use of bayesian networks for resource-efficient self-calibration of analog/RF ICs M Andraud, L Galindez, Y Lu, Y Makris, M Verhelst 2018 IEEE International Test Conference (ITC), 1-10, 2018 | 6 | 2018 |
| Shared control of assistive robots through user-intent prediction and hyperdimensional recall of reactive behavior A Menon, LIG Olascoaga, V Balanaga, A Natarajan, J Ruffing, R Ardalan, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 12638 …, 2023 | 5 | 2023 |
| Extending naive Bayes with precision-tunable feature variables for resource-efficient sensor fusion LI Galindez Olascoaga, W Meert, H Bruyninckx, M Verhelst CEUR Workshop Proceedings 1724, 23-30, 2016 | 5 | 2016 |
| Brain-inspired multi-level control of an assistive prosthetic hand through emg task recognition A Menon, LIG Olascoaga, N Shakouri, J Ruffing, V Balanaga, JM Rabaey 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 384-388, 2022 | 4 | 2022 |
| Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams LI Galindez Olascoaga, W Meert, N Shah, G Van den Broeck, M Verhelst Advances in Intelligent Data Analysis XVIII, 2020 | 4 | 2020 |
| Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends OLI Galindez, K Badami, VR Pamula, S Lauwereins, W Meert, M Verhelst 2016 50th Asilomar Conference on Signals, Systems and Computers, 1027-1031, 2016 | 4 | 2016 |
| Hardware-aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases LIG Olascoaga, W Meert, M Verhelst Springer Nature, 2021 | 3* | 2021 |
| On hardware-aware probabilistic frameworks for resource constrained embedded applications LIG Olascoaga, W Meert, N Shah, G Van den Broeck, M Verhelst 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | 3 | 2019 |
| Dynamic complexity tuning for hardware-aware probabilistic circuits LI Galindez Olascoaga, W Meert, N Shah, M Verhelst IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020 | 2 | 2020 |
| Pru: Probabilistic reasoning processing unit for resource-efficient ai NS Shah, LI Galindez Olascoaga, W Meert, M Verhelst Hot Chips: A Symposium on High Performance Chips, Date: 2019/08/18-2019/08 …, 2019 | 1 | 2019 |
| A Phenomenological AI Foundation Model for Physical Signals J Lien, LI Galindez Olascoaga, H Dogan, N Gillian, B Barbello, L Giusti, ... arXiv preprint arXiv:2410.14724, 2024 | | 2024 |
| Hardware-Aware Probabilistic Models: Learning, Inference and Use Cases LI Galindez Olascoaga KU Leuven (PhD thesis), 2020 | | 2020 |
Marian VerhelstMicas - ESAT - KU Leuven, BelgiumAdresse e-mail validée de esat.kuleuven.be