Ivo Couckuyt @icouckuy
Professor - Data-efficient Machine Learning @SUMOlabINTEC @IDLabResearch @UGent_fea @imec_int Ghent, Belgium Joined September 2017-
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Congrats Nasrulloh Loka with your PhD on: “Bayesian Optimization for Engineering Design and Process Optimization"
We have several open PhD positions at IDLab-SUMO, Belgium. Interested in joining a dynamic team working on surrogate modeling, data-efficient machine learning, and engineering? Drop us an e-mail. See ugent.be/ea/idlab/en/jo… and sumo.ilabt.imec.be/home/research
A full room (even this early!) for the Expert-informed ML workshop. Great talk by Prof. Sašo Džeroski on automated scientific modeling at @ECMLPKDD #ECMLPKDD2023 More to come in part 2 this afternoon at 14:30 with a Keynote from Prof. Peter Frazier! sites.google.com/view/exml23/pr…
Prof. Peter Frazier (Cornell and Uber) will give a keynote at the Neuro-Explicit AI and Expert-informed Machine Learning for Engineering and Physical Sciences workshop at @ECMLPKDD #ECMLPKDD2023. "Incorporating Human Expertise into Bayesian Optimization". sites.google.com/view/exml23/sp…
Final extension! Deadline June 26th. Submit at: sites.google.com/view/exml23/ho… @ECMLPKDD
Final extension! Deadline June 26th. Submit at: sites.google.com/view/exml23/ho… @ECMLPKDD
Deadline extended to June 19th!
Federico Garbuglia #IEEE_SPI2023: “Modeling S-parameters of Interconnects using Periodic Gaussian Process Kernels" @IDLabResearch @sumolabintec
📣 Excited to announce the Workshop on "Neuro-Explicit AI and Expert-informed Machine Learning for Engineering and Physical Sciences", co-located with @ECMLPKDD 2023 in Turin, Italy. #ml4eng #GP #BayesOpt 🗓️ Submit your paper until June 12. ℹ️ sites.google.com/view/exml23
Non-invasive sensing using a radar device. Perfect to demonstrate how uncertainty quantification is important for smart edge-cloud interaction to reduce bandwidth (and much more!). ConnectedMinds day @ @IDLabResearch @sumolabintec
Great work of @WillTsing at @IDLabResearch @sumolabintec
Great work of @WillTsing at @IDLabResearch @sumolabintec
A great experience to present our work at the Adaptive Experimentation (AE) workshop. Thanks to our colleagues and peers for the fruitful discussion on @GaussianProcess and much more! Kudos to @MaxBalandat @eytan and the AE team of @Meta for organizing.
We are hiring: PhD position: Machine Learning for engineering (ML4ENG) lnkd.in/eJ-adF87
new IEEE paper by SUMOLAB researcher Geethika, e,.a.: "Open-Set Patient Activity Recognition with Radar Sensors and Deep Learning" ieeexplore.ieee.org/document/10011…
Congrats Jixiang e.a. @WillTsing . Accepted paper @ #AISTATS2023 : Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints #BayesianOptimization #FlandersAI arxiv.org/abs/2204.05411
Our research proposal "Bayesian preferential many-objective optimization with imperfect knowledge" was accepted! Thanks @FWOVlaanderen for the support and congratulations to @icouckuy ! @IDLabResearch
Honored to be listed in the “World’s Top 2% Scientist List” from @Stanford University / Elsevier, among several @IDLabResearch colleagues See the full list at: elsevier.digitalcommonsdata.com/datasets/btchx…
Federico, e,.a.: Bayesian Optimization for Microwave Devices using Deep GP Spectral Surrogate Models ieeexplore.ieee.org/document/99971…
Federico Garbuglia : “S-Parameter Modeling and Optimization Using Deep Gaussian Processes” #mikon2022 mrw2022.org/mikon/

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