Laura Isabel Galindez Olascoaga

According to our database, Laura Isabel Galindez Olascoaga authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Phenomenological AI Foundation Model for Physical Signals.

Jaime Lien, Laura Isabel Galindez Olascoaga, Hasan Dogan, Nicholas Gillian, Brandon Barbello, Leonardo Giusti, Ivan Poupyrev

CoRR, 2024

2023

Shared Control of Assistive Robots through User-intent Prediction and Hyperdimensional Recall of Reactive Behavior.

Alisha Menon, Laura Isabel Galindez Olascoaga, Vamshi Balanaga, Anirudh Natarajan, Jennifer Ruffing, Ryan Ardalan, Jan M. Rabaey

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

DPU: DAG Processing Unit for Irregular Graphs With Precision-Scalable Posit Arithmetic in 28 nm.

Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst

IEEE J. Solid State Circuits, 2022

On the Role of Hyperdimensional Computing for Behavioral Prioritization in Reactive Robot Navigation Tasks.

Alisha Menon, Anirudh Natarajan, Laura Isabel Galindez Olascoaga, Youbin Kim, Braeden C. Benedict, Jan M. Rabaey

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Brain-inspired Multi-level Control of an Assistive Prosthetic Hand through EMG Task Recognition.

Alisha Menon, Laura Isabel Galindez Olascoaga, Niki Shakouri, Jennifer Ruffing, Vamshi Balanaga, Jan M. Rabaey

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022

2021

DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nm.

Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst

CoRR, 2021

9.4 PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm.

Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst

Proceedings of the IEEE International Solid-State Circuits Conference, 2021

2020

Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits.

Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams.

Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Acceleration of probabilistic reasoning through custom processor architecture.

Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Towards Hardware-Aware Tractable Learning of Probabilistic Models.

Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Hardware-Aware Probabilistic Frameworks for Resource Constrained Embedded Applications.

Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

ProbLP: A framework for low-precision probabilistic inference.

Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018

Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification.

Laura Isabel Galindez Olascoaga, Komail M. H. Badami, Jonas Vlasselaer, Wannes Meert, Marian Verhelst

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

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

Proceedings of the IEEE International Test Conference, 2018

Feature noise tuning for resource efficient Bayesian Network Classifiers.

Laura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, Marian Verhelst

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2016

Extending Naive Bayes with Precision-tunable Feature Variables for Resource-efficient Sensor Fusion.

Laura Isabel Galindez Olascoaga, Wannes Meert, Herman Bruyninckx, Marian Verhelst

Proceedings of the 2nd Workshop on Artificial Intelligence and Internet of Things co-located with the 22nd European Conference on Artificial Intelligence (ECAI 2016), 2016

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

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016