Laura Isabel Galindez Olascoaga

Orcid: 0000-0001-8601-5024

According to our database1, Laura Isabel Galindez Olascoaga authored at least 17 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Shared Control of Assistive Robots through User-intent Prediction and Hyperdimensional Recall of Reactive Behavior.
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.
IEEE J. Solid State Circuits, 2022

On the Role of Hyperdimensional Computing for Behavioral Prioritization in Reactive Robot Navigation Tasks.
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.
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.
CoRR, 2021

9.4 PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm.
Proceedings of the IEEE International Solid-State Circuits Conference, 2021

2020
Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits.
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.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Acceleration of probabilistic reasoning through custom processor architecture.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
Towards Hardware-Aware Tractable Learning of Probabilistic Models.
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.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

ProbLP: A framework for low-precision probabilistic inference.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

On the use of Bayesian Networks for Resource-Efficient Self-Calibration of Analog/RF ICs.
Proceedings of the IEEE International Test Conference, 2018

Feature noise tuning for resource efficient Bayesian Network Classifiers.
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.
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.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016


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