Laura Isabel Galindez Olascoaga

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 19

Top Topics

Probabilistic Inference

Reactive Behavior

Bucket Elimination

Bayesian Network Classifiers

Top Venues

IoT Streams/ITEM@PKDD/ECML

Publications

Alisha Menon, Laura Isabel Galindez Olascoaga, Vamshi Balanaga, Anirudh Natarajan, Jennifer Ruffing, Ryan Ardalan, Jan M. Rabaey
Shared Control of Assistive Robots through User-intent Prediction and Hyperdimensional Recall of Reactive Behavior. ICRA (2023)
Alisha Menon, Anirudh Natarajan, Laura Isabel Galindez Olascoaga, Youbin Kim, Braeden C. Benedict, Jan M. Rabaey
On the Role of Hyperdimensional Computing for Behavioral Prioritization in Reactive Robot Navigation Tasks. ICRA (2022)
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
DPU: DAG Processing Unit for Irregular Graphs With Precision-Scalable Posit Arithmetic in 28 nm. IEEE J. Solid State Circuits 57 (8) (2022)
Alisha Menon, Laura Isabel Galindez Olascoaga, Niki Shakouri, Jennifer Ruffing, Vamshi Balanaga, Jan M. Rabaey
Brain-inspired Multi-level Control of an Assistive Prosthetic Hand through EMG Task Recognition. BioCAS (2022)
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
DPU: DAG Processing Unit for Irregular Graphs with Precision-Scalable Posit Arithmetic in 28nm. CoRR (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
ProbLP: A framework for low-precision probabilistic inference. CoRR (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst
9.4 PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm. ISSCC (2021)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
Acceleration of probabilistic reasoning through custom processor architecture. CoRR (2021)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst
Discriminative Bias for Learning Probabilistic Sentential Decision Diagrams. IDA (2020)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
Acceleration of probabilistic reasoning through custom processor architecture. DATE (2020)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst
Dynamic Complexity Tuning for Hardware-Aware Probabilistic Circuits. IoT Streams/ITEM@PKDD/ECML (2020)
Nimish Shah, Laura Isabel Galindez Olascoaga, Wannes Meert, Marian Verhelst
ProbLP: A framework for low-precision probabilistic inference. DAC (2019)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Marian Verhelst, Guy Van den Broeck
Towards Hardware-Aware Tractable Learning of Probabilistic Models. NeurIPS (2019)
Laura Isabel Galindez Olascoaga, Wannes Meert, Nimish Shah, Guy Van den Broeck, Marian Verhelst
On Hardware-Aware Probabilistic Frameworks for Resource Constrained Embedded Applications. EMC2@NeurIPS (2019)
Laura Isabel Galindez Olascoaga, Jonas Vlasselaer, Wannes Meert, Marian Verhelst
Feature noise tuning for resource efficient Bayesian Network Classifiers. ESANN (2018)
Martin Andraud, Laura Isabel Galindez Olascoaga, Yichuan Lu, Yiorgos Makris, Marian Verhelst
On the use of Bayesian Networks for Resource-Efficient Self-Calibration of Analog/RF ICs. ITC (2018)
Laura Isabel Galindez Olascoaga, Komail M. H. Badami, Jonas Vlasselaer, Wannes Meert, Marian Verhelst
Dynamic Sensor-Frontend Tuning for Resource Efficient Embedded Classification. IEEE J. Emerg. Sel. Topics Circuits Syst. 8 (4) (2018)
Laura Isabel Galindez Olascoaga, Komail M. H. Badami, V. Rajesh Pamula, Steven Lauwereins, Wannes Meert, Marian Verhelst
Exploiting system configurability towards dynamic accuracy-power trade-offs in sensor front-ends. ACSSC (2016)
Laura Isabel Galindez Olascoaga, Wannes Meert, Herman Bruyninckx, Marian Verhelst
Extending Naive Bayes with Precision-tunable Feature Variables for Resource-efficient Sensor Fusion. AI-IoT@ECAI (2016)