Projects per year
Personal profile
Academic background
Martin Roa-Villescas earned his B.Sc. degree in Electronic Engineering from the National University of Colombia (UNAL) in Manizales, Colombia, in 2010. He received his M.Sc. degree in Embedded Systems from Eindhoven University of Technology (TU/e) in Eindhoven, The Netherlands, in 2013. Currently, he is pursuing a Ph.D. degree in Bayesian Machine Learning at TU/e. Between 2013 and 2018, he served as an embedded software designer at Philips Research in Eindhoven, The Netherlands. His research interests encompass probabilistic graphical models, open-source software, and robotics.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Docent, Fontys University of Applied Sciences
1 Aug 2023 → …
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Collaborations and top research areas from the last five years
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Projects
- 1 Finished
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STW Zero 15-06 P2 Autonomous Acoustic Systems
Stuijk, S. (Project Manager), Wijnings, P. W. A. (Project member), Roa-Villescas, M. (Project member), van der Hagen, D. (Project communication officer) & de Mol-Regels, M. (Project communication officer)
1/07/17 → 30/06/24
Project: Research direct
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Probabilistic inference in the era of tensor networks and differential programming
Roa-Villescas, M. (Corresponding author), Gao, X., Stuijk, S., Corporaal, H. & Liu, J.-G., 6 Sept 2024, In: Physical Review Research. 6, 3, 12 p., 033261.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Pushing the boundaries of probabilistic inference through message contraction optimization
Roa-Villescas, M., Liu, J.-G., Wijnings, P. W. A., Stuijk, S. & Corporaal, H., 22 Jul 2024, Artificial Intelligence: Machine Learning, Convolutional Neural Networks and Large Language Models. Deligiannidis, L., Dimitoglou, G. & Arabnia, H. (eds.). Walter de Gruyter GmbH, p. 27-50 24 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
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Scaling Probabilistic Inference Through Message Contraction Optimization
Roa-Villescas, M., Liu, J.-G., Wijnings, P. W. A., Stuijk, S. & Corporaal, H., 9 Apr 2024, 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023. Institute of Electrical and Electronics Engineers, p. 123-130 8 p. 10487633Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus)1 Downloads (Pure) -
TensorInference: A Julia package for tensor-based probabilistic inference
Roa-Villescas, M. & Liu, J.-G., Oct 2023, In: Journal of Open Source Software. 8, 90, 6 p., 5700.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile150 Downloads (Pure) -
Partial Evaluation in Junction Trees
Roa-Villescas, M., Wijnings, P. W. A., Stuijk, S. & Corporaal, H., 4 Jan 2022, Proceedings : 2022 25th Euromicro Conference on Digital System Design, DSD 2022. Fabelo, H., Ortega, S. & Skavhaug, A. (eds.). Institute of Electrical and Electronics Engineers, p. 429-437 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
2 Citations (Scopus)1 Downloads (Pure)
Datasets
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TensorInference: A Julia package for tensor-based probabilistic inference
Roa-Villescas, M. (Creator) & (刘金国), J.-G. L. (Creator), Zenodo, 2 Oct 2023
DOI: 10.5281/zenodo.8399580, https://zenodo.org/records/8399580
Dataset: Software
Activities
- 2 Contributed talk
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Probabilistic inference using contraction of tensor networks
Roa-Villescas, M. (Speaker)
10 Jul 2024Activity: Talk or presentation types › Contributed talk › Scientific
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JunctionTrees: Bayesian inference in discrete graphical models
Roa Villescas, M. (Speaker)
27 Jul 2022Activity: Talk or presentation types › Contributed talk › Scientific
Thesis
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3D face reconstruction using structured light on a hand-held device
Roa Villescas, M. (Author), de Haan, G. (Supervisor 1) & van Heesch, F. H. (External coach), 31 Aug 2013Student thesis: Master
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