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Control Meets Learning Virtual Seminars

@ControlMeetsML

Virtual seminar series on the intersection of control theory and machine learning

 Online
sites.google.com/view/control-meets-learning
Joined August 2020
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Photo by Control Meets Learning Virtual Seminars (@ControlMeetsML)Photo by Control Meets Learning Virtual Seminars (@ControlMeetsML)Photo by Control Meets Learning Virtual Seminars (@ControlMeetsML)Photo by Control Meets Learning Virtual Seminars (@ControlMeetsML)Photo by Control Meets Learning Virtual Seminars (@ControlMeetsML)Photo by Control Meets Learning Virtual Seminars (@ControlMeetsML)
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Navid Azizan (@NavidAzizan) profile picture
Navid Azizan
@NavidAzizanOct 23
Paper: arxiv.org/abs/2511.08425 Code: github.com/azizanlab/HardFlo…
HardFlow: Hard-Constrained Sampling for Flow-Matching Models via...

HardFlow: Hard-Constrained Sampling for Flow-Matching Models via...

Diffusion and flow-matching have emerged as powerful methodologies for generative modeling, with remarkable success in capturing complex data distributions and enabling flexible guidance at...

arxiv.org
MIT LIDS (@MITLIDS) profile pictureMIT LIDS@MITLIDSSep 16
When #AI operates in the physical world, “pretty close” may not cut it. LIDS researchers developed HardFlow, a method that helps pretrained generative AI satisfy hard constraints while improving solution quality — without retraining. bit.ly/4xydxBN
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Our next talk: June 9: Miroslav Krstic (UCSD) “Control has met learning: Aspirational lessons from adaptive control theory” Please visit sites.google.com/view/contro… for more information (join the Google group for Zoom link and future announcements).
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Video recording: youtu.be/9IULAYjO0Zg
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Happening soon!
Our next talk: June 2: Andreas Krause (ETH) @arkrause “Safe and Efficient Exploration in Reinforcement Learning” Please visit sites.google.com/view/contro… for more information (join the Google group for Zoom link and future announcements).
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Video recording: youtu.be/JyWWEqMiIs0
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Our next talk: May 12: Jonathan How (MIT) “Learning-based Planning and Control: Opportunities and Challenges” Please visit sites.google.com/view/contro… for more information (join the Google group for Zoom link and future announcements).
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Link for recording: youtu.be/PZU8Q5zu9kI
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Our next talk: May 5: Steve Brunton (UW) @eigensteve “Data-Driven Dynamical Systems and Control” Please visit sites.google.com/view/contro… for more information (join the Google group for Zoom link and future announcements).
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Link for recording: youtu.be/4P2slJAVslQ
Control Meets Learning Seminar by Steve Brunton (University of Washington) || May 5, 2021

Control Meets Learning Seminar by Steve Brunton (University of Washington) || May 5, 2021

Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.

youtube.com
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Our next talk: April 28: Patricio Vela (Georgia Tech) “On the Structure of Learning: What’s in the Black Box?” Please visit sites.google.com/view/contro… for more information (join the Google group for Zoom link and future announcements).
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Happening soon!
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Link for recording: youtu.be/4EesPjQq0JU
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Our next talk: April 21: Necmiye Ozay (University of Michigan) @necozay “Learning models and constraints with limited data” Please visit sites.google.com/view/contro… for more information (join the Google group for Zoom link and future announcements).
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Link for recording: youtu.be/JuNy_Mn3Sf0
Our next talk: April 14: Na Li (Harvard) “Real-time Distributed Decision Making in Networked Systems” Please visit sites.google.com/view/contro… for more information (join the Google group for Zoom link and future announcements).
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Link for recording: youtu.be/38Vz9mJPvJM
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Thank you all for your continued support for our seminars! We will take a spring break and resume in April 14. Speakers in the spring quarter (see more info at sites.google.com/view/contro…): Na Li Necmiye Ozay Patricio Vela Steve Brunton Jonathan How Miroslav Krstic Andreas Krause
Home

Home

The seminar series is broadly focused on the intersection of control theory and machine learning. It covers a wide range of topics including, but not limited to, learning for dynamical systems,...

sites.google.com
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Our next talk: March 17: Munther Dahleh (MIT) @MuntherDahleh “Data Auctions with Externalities” Please visit sites.google.com/view/contro… for more information (join the Google group for Zoom link and future announcements).
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Link for recording: youtu.be/q1DqWYV8pZs
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