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Laura Isabel Galindez Olascoaga
Laura Isabel Galindez Olascoaga
Archetype AI
Verified email at archetypeai.team
Title
Cited by
Cited by
Year
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
232019
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
212019
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
162020
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
112022
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
102021
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
102021
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
92018
Extending Naive Bayes with Precision-tunable Feature Variables for Resource-efficient Sensor Fusion.
LIG Olascoaga, W Meert, H Bruyninckx, M Verhelst
AI-IoT@ ECAI, 23-30, 2016
62016
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
5*2021
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
52020
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
52018
Hardware-aware Probabilistic Machine Learning Models: Learning, Inference and Use Cases
LIG Olascoaga, W Meert, M Verhelst
Springer Nature, 2021
4*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
42019
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
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
32023
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
32022
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
32020
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
12019
Hardware-Aware Probabilistic Models: Learning, Inference and Use Cases
LI Galindez Olascoaga
KU Leuven (PhD thesis), 2020
2020
ProbLP: A framework for low-precision
N Shah, LIG Olascoaga, W Meert, M Verhelst
Citation Nimish Shah, Laura I. Galindez Olascoaga, Wannes Meert, Marian …, 2019
2019
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