Laura Isabel Galindez Olascoaga

20 papers A* 4A 2B 2Misc 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Phenomenological AI Foundation Model for Physical Signals.
CoRR
Jaime Lien, Laura Isabel Galindez Olascoaga, Hasan Dogan, Nicholas Gillian, Brandon Barbello, Leonardo Giusti, Ivan Poupyrev
2023 A* conf
Shared Control of Assistive Robots through User-intent Prediction and Hyperdimensional Recall of Reactive Behavior.
ICRA
Alisha Menon, Laura Isabel Galindez Olascoaga, Vamshi Balanaga, Anirudh Natarajan, Jennifer Ruffing, Ryan Ardalan, Jan M. Rabaey
2022 — conf
Brain-inspired Multi-level Control of an Assistive Prosthetic Hand through EMG Task Recognition.
BioCAS
Alisha Menon, Laura Isabel Galindez Olascoaga, Niki Shakouri, Jennifer Ruffing, Vamshi Balanaga, Jan M. Rabaey
2022 J jnl
DPU: DAG Processing Unit for Irregular Graphs With Precision-Scalable Posit Arithmetic in 28 nm.
IEEE J. Solid State Circuits
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
2022 A* conf
On the Role of Hyperdimensional Computing for Behavioral Prioritization in Reactive Robot Navigation Tasks.
ICRA
Alisha Menon, Anirudh Natarajan, Laura Isabel Galindez Olascoaga, Youbin Kim, Braeden C. Benedict, Jan M. Rabaey
2021 — conf
9.4 PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm.
ISSCC
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
2021 J jnl
Acceleration of probabilistic reasoning through custom processor architecture.
CoRR
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
2021 J jnl
DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nm.
CoRR
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
2021 J jnl
ProbLP: A framework for low-precision probabilistic inference.
CoRR
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
2020 A conf
Acceleration of probabilistic reasoning through custom processor architecture.
DATE
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
2020 B conf
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams.
IDA
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst
2020 — conf
Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits.
IoT Streams/ITEM@PKDD/ECML
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst
2019 — conf
On Hardware-Aware Probabilistic Frameworks for Resource Constrained Embedded Applications.
EMC2@NeurIPS
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst
2019 A* conf
ProbLP: A framework for low-precision probabilistic inference.
DAC
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
2019 A* conf
Towards Hardware-Aware Tractable Learning of Probabilistic Models.
NeurIPS
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, Guy Van den Broeck
2018 J jnl
Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Laura Isabel Galindez Olascoaga, Komail M. H. Badami, Jonas Vlasselaer, Wannes Meert, Marian Verhelst
2018 B conf
Feature noise tuning for resource efficient Bayesian Network Classifiers.
ESANN
Laura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, Marian Verhelst
2018 A conf
On the use of Bayesian Networks for Resource-Efficient Self-Calibration of Analog/RF ICs.
ITC
Martin Andraud, Laura Isabel Galindez Olascoaga, Yichuan Lu, Yiorgos Makris, Marian Verhelst
2016 Misc conf
Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends.
ACSSC
Laura Isabel Galindez Olascoaga, Komail M. H. Badami, V. Rajesh Pamula, Steven Lauwereins, Wannes Meert, Marian Verhelst
2016 — conf
Extending Naive Bayes with Precision-tunable Feature Variables for Resource-efficient Sensor Fusion.
AI-IoT@ECAI
Laura Isabel Galindez Olascoaga, Wannes Meert, Herman Bruyninckx, Marian Verhelst