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Laura Isabel Galindez Olascoaga
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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
152019
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
82018
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
72020
Towards hardware-aware tractable learning of probabilistic models
LIG Olascoaga, W Meert, M Verhelst, G Van den Broeck
72019
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
52019
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
52016
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
42020
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
42018
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
42016
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
22019
On hardware-aware probabilistic frameworks for resource constrained embedded applications
LI Galindez Olascoaga, W Meert, N Shah, G Van den Broeck, M Verhelst
5thWorkshop on Energy Efficient Machine Learning and Cognitive Computing, Co …, 2019
1*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, 2021
2021
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
2021
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
2021
Hardware-aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases
LIG Olascoaga, W Meetr, M Verhelst
Springer, 2021
2021
Hardware-Aware Bayesian Networks for Sensor Front-End Quality Scaling
LI Galindez Olascoaga, W Meert, M Verhelst
Hardware-Aware Probabilistic Machine Learning Models, 55-79, 2021
2021
Run-Time Strategies
LI Galindez Olascoaga, W Meert, M Verhelst
Hardware-Aware Probabilistic Machine Learning Models, 111-137, 2021
2021
Hardware-Aware Cost Models
LI Galindez Olascoaga, W Meert, M Verhelst
Hardware-Aware Probabilistic Machine Learning Models, 41-53, 2021
2021
Hardware-Aware Probabilistic Circuits
LI Galindez Olascoaga, W Meert, M Verhelst
Hardware-Aware Probabilistic Machine Learning Models, 81-110, 2021
2021
Hardware-Aware Probabilistic Models: Learning, Inference and Use Cases
LI Galindez Olascoaga
KU Leuven, 2020
2020
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Articles 1–20