Diego Mesquita @wkly_infrmtive
Machine learning, deep learning, and Bayesian methods. Assistant prof @FGVBrazil. Previously @AaltoUniversity. (Bad) Jokes are my own. weakly-informative.github.io Rio de Janeiro, Brazil Joined July 2018-
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Diego Mesquita retweeted
Prof. on website vs Prof. in person
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Diego Mesquita retweeted
For our "Automated Assessment of Teaching Quality" project, we are looking for two PhD students: one in educational/cognitive sciences or a related field (uni-tuebingen.de/fakultaeten/wi…) and one in machine learning (uni-tuebingen.de/en/faculties/f…). Please apply and reach me out for details!
Diego Mesquita retweeted
The #UAI2025 Call for Workshops is out - deadline Feb 28th! If you have an idea for a workshop on #uncertainty #AI #statsML #impreciseprobabilities #causality etc consider submitting a 2 page proposal Accepted workshops will be held on July 25 in Rio 🇧🇷 auai.org/uai2025/call_f…
Diego Mesquita retweeted
The 41st Conference on #uncertainty in #AI will be held in Rio de Janeiro 🇧🇷, July 21-25! The CfP is out 👉auai.org/uai2025/call_f… 🚨 Feb 10: Paper submission 🗣️ Apr 3-10: rebuttal period 🎉/💀 May 6: Author notification #UAI2025 #ML #stats #learning #reasoning #uncertainty
Diego Mesquita retweeted
📢 Advance publication in Bayesian Analysis projecteuclid.org/journals/bayes…
I am looking for highly motivated post-docs to work on fundamental AI research. Pay is competitive (>=) compared to any Brazilian institution. Solid math/stats/theoretical CS background greatly appreciated. Instructions on my personal page.
Paper X (under review) and Y (published) have at least a common author. X openly states results from Y are misleading and cannot be reproduced. Is this ok?
Diego Mesquita retweeted
PhD student watching the PI present a technically impossible solution to a collaborator
Our work at #ICML2024 enables one-shot Bayesian federated/parallel inference over discrete spaces (e.g., graphs). In @willieneis's embarrassingly style, we use @folinoid 's GFlowNets to learn local posteriors and combine them using our *aggregating balance condition*.…
ML Twitter seems excessively confrontational these last few days
Diego Mesquita retweeted
Build what you need and use what you build. This is a core philosophy of my research. It shifts the focus away from publishing “papers” to what really matters — impact. This thread unpacks why I think this is a successful approach to science. 1/10 Or see: perceiving-systems.blog/en/post/build-…
GNN-based link prediction is typically miscalibrated. Read our preprint for further discussion on the issue and the first calibration method explicitly designed for the task. @amaurihsouza @samikaski arxiv.org/abs/2403.04605
I am looking for a post-doc to work with me on ML in Rio. Possible topics include generative models, geometric deep learning, probabilistic methods, federated ML, privacy-preserving ML, etc. Salary ~10kBRL. E-mail/msg me if interested.
Diego Mesquita retweeted
📢 Early bird call: Soon to open is an exciting opportunity for PhD research 🎓 in the CS dept @csmcr ✨ U of Manchester @OfficialUoM 👌 supervised by me and @samikaski. To work at the forefront of statistical theory and methods for distribution shifts 🤓 DM me for enquiring!
We're hosting the Tropical ProbAI school @FGV Jan 29-Feb 2, in Rio de Janeiro. Good news: applications are still open. This year, we'll have lectures & talks from the exceptional @vmansinghka @D_Bouchacourt @adelehr @HelgeLangseth @ZennaTavares + more tropical.probabilistic.ai
Diego Mesquita retweeted
we need less crappy journals and more high quality conferences
Come visit @spectraldani at poster 2019
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