Dylan Bourgeois (@dtsbourg) header
Dylan Bourgeois (@dtsbourg) profile picture

Crafting artificially intelligent minds • Formerly @ClaryoInc | @RobustAI | @Stanford | @CERN | @EPFL • 🇫🇷|🇺🇸

New York, NY
Joined November 2013
Photo by Dylan Bourgeois (@dtsbourg)Photo by Dylan Bourgeois (@dtsbourg)Photo by Dylan Bourgeois (@dtsbourg)Photo by Dylan Bourgeois (@dtsbourg)Photo by Dylan Bourgeois (@dtsbourg)Photo by Dylan Bourgeois (@dtsbourg)Photo by Dylan Bourgeois (@dtsbourg)Photo by Dylan Bourgeois (@dtsbourg)Photo by Dylan Bourgeois (@dtsbourg)
We're not training AI anymore. We're teaching It. I find it fascinating that we are now designing learning curriculum for these systems to become more poweful. I wrote a quick overview of modern training methods on my blog here dtsbourg.me/en/articles/teac…
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How would you teach an AI a skill? How would you grade it? How would you reward it? We will be building learning playgrounds for these systems to experiment and explore with new skills constantly. Right now, this is a dataset. Eventually, a simulator.
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[tl;dr] I'll be in Paris for most of July -- let's hang! 🇫🇷 If you or someone cool you know is interested in AI, be it through robots or agents, I'd love to meet up -- coffee, apéro, a walk-and-talk, you name it. DM me if you're around!
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Dylan Bourgeois retweeted
I'm thrilled to announce that Claryo, Inc. has been named a 2025 Technology Pioneer by @wef . We're just beginning to unlock what's possible when intelligence meets the physical world, and I'm excited for the road ahead. Stay tuned for more news soon!
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Dylan Bourgeois retweeted
Robots should work for people, and not the other way around. To learn more about how we're helping manufacturing and logistics businesses scale, check out @WIRED’s conversation with one of our founders, Rodney Brooks. wired.com/story/warehouse-ro…
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If you are interested in graph neural networks, I made a quick Colab tutorial on performing graph classification with #PyTorch Geometric & @PyTorchLightnin, and then explaining the predictions with GNNExplainer and/or Captum. colab.research.google.com/dr…
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Good moment to remind y’all to read @jrappaz @pirroh @cervisiarius’ paper on latent collaboration structures in the last instance of r/place arxiv.org/abs/1804.05962. Looking forward to the followup!
The first day of @Reddit's /r/Place experiment. /r/Place is a 1000x1000 pixel square. Every Redditor can place a single colored pixel every 5 minutes. Here's what resulted over a 24 hour period. Source: reddit.com/r/place/comments/…
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I'll be in NYC for the next two weeks (March 5-20). Who should I meet? 🗽
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I’m in Paris for the next couple of weeks if anyone wants to meet up. Referrals welcome 🤗 🇫🇷
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I might stop by Switzerland later in December as well 🇨🇭
Dylan Bourgeois retweeted
Here's my conversation with @rodneyabrooks, one of the greatest roboticists of all time, having co-founded iRobot, Rethink Robotics, Robust-AI, and before that serving as director of the MIT Computer Science and Artificial Intelligence Laboratory. youtube.com/watch?v=nre0QT9L…
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Dylan Bourgeois retweeted
If you're interested in GNNs for combinatorial tasks (certainly an exciting time!), we've released our 43-page comprehensive survey on the area! + detailed blueprint of algorithmic reasoning in S3.3. arxiv.org/abs/2102.09544 with @chrsmrrs @69alodi @lyeskhalil @qcappart & Didier
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Dylan Bourgeois retweeted
Wednesday afternoon, for free and open to the public, sixteen leading researchers in neuroscience, machine learning, AI and psychology converge. Topics below. RSVP : aidebate.eventbrite.ca
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We added the visualisation of the attention patterns of Vision Transformer! epfml.github.io/attention-cn… Some heads learn translation equivarient attention to extract patches at fixed shifts. Other heads rely on color similarity or maybe more semantic features deeper in the network.
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Dylan Bourgeois retweeted
What's the coolest/clearest application of graph neural networks?
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Dylan Bourgeois retweeted
Very excited about the release of Jraph. Finally an easy-to-use, extensive and fast Graph Neural Network library in JAX! Fully compatible with NN libraries such as Flax and Haiku: github.com/deepmind/jraph
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Dylan Bourgeois retweeted
The book "Foundations of Probabilistic Programming" has now been published, edited by @alexandra8silva, Barthe and Katoen, and including the chapter I co-authored with @schrijvers_tom, Carroll Morgan and Annabelle McIver. Best of all, it's Open Access! doi.org/10.1017/978110877075…
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Dylan Bourgeois retweeted
We are excited to release #GraphGym, a platform for designing and evaluating #GraphNeuralNetworks. It provides a modularized pipeline, a system for launching thousands of experiments, and more! Code: github.com/snap-stanford/Gra… Paper: arxiv.org/abs/2011.08843 #NeurIPS2020 Spotlight
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Dylan Bourgeois retweeted
I learned earlier this year that you don't have to make LaTeX tables by hand! Just load your results into a DataFrame and call to_latex() pandas.pydata.org/pandas-doc…
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