https://murray.cds.caltech.edu/api.php?action=feedcontributions&feedformat=atom&user=Yyue 2026-06-28T13:08:56Z User contributions MediaWiki 1.44.2 https://murray.cds.caltech.edu/index.php?title=Sarah_Dean,_11-12_Feb_2020&diff=23351 2020-02-05T07:06:30Z

<p>Yyue: </p> <hr /> <div>Sarah Dean, a PhD student working with Ben Recht, will visit Caltech on 11-12 Feb 2020. If you would like to meet with her, please sign up for a slot below (using your IMSS credentials to log in). Please make sure to put the location where she should meet you.<br /> <br /> === Schedule ===<br /> <br /> {| width=100%<br /> |- valign=top <br /> | width=50% |<br /> ==== Tuesday (11 Feb) ====<br /> * 11:40 am arrival in BUR<br /> * ~12:30 pm: arrival on campus<br /> * 12:30 pm: lunch with John Doyle (if available)<br /> * 1:30 pm: Richard Murray<br /> * 2:00 pm: Open<br /> * 2:45 pm: Open<br /> * 3:30 pm: Open (30 min)<br /> * 4:00 pm: Seminar<br /> * 5:00 pm: Open (30 min)<br /> * 6:00 pm: Dinner with Richard + grad students, postdocs<br /> | width=50% |<br /> <br /> ==== Wednesday (12 Feb) ====<br /> * 8:45 am: Open<br /> * 9:30 am: Open<br /> * 10:15 am: Open<br /> * 11:00 am: Ludwig Schmidt seminar<br /> * 12:00 pm: Lunch with faculty or grad students<br /> * 1:15 pm: Yisong Yue (303 Annenberg)<br /> * 2:00 pm: Open (30 min)<br /> * 2:30 pm: Open (30 min)<br /> * 3:00 pm: CDS tea<br /> * 3:30 pm: Open (30 min)<br /> * 4:00 pm: Open (30 min)<br /> * 4:30 pm: Wrap up meeting with Richard<br /> * 4:45 pm: Depart campus<br /> * 6:40 pm departure from BUR<br /> |}<br /> <br /> === Seminar ===<br /> <br /> Safe and Robust Perception-Based Control&lt;br&gt;<br /> Sarah Dean, UC Berkeley<br /> <br /> Tue, 11 February, 4 pm&lt;br&gt;<br /> 105 Annenberg<br /> <br /> Machine learning provides a promising path to distill information from high dimensional sensors like cameras -- a fact that often serves as motivation for merging learning with control. This talk aims to provide rigorous guarantees for systems with such learned perception components in closed-loop. Our approach is comprised of characterizing uncertainty in perception and then designing a robust controller to account for these errors. We use a framework which handles uncertainties in an explicit way, allowing us to provide performance guarantees and illustrate how trade-offs arise from limitations of the training data. Throughout, I will motivate this work with the example of autonomous vehicles, including both simulated experiments and an implementation on a 1/10 scale autonomous car. Joint work with Aurelia Guy, Nikolai Matni, Ben Recht, Rohan Sinha, and Vickie Ye.</div>

Yyue https://murray.cds.caltech.edu/index.php?title=Chris_Mentzel,_April_2016&diff=19360 2016-04-13T23:07:59Z

<p>Yyue: </p> <hr /> <div>Chris Mentzel and Carly Strasser will visit Caltech on 25-26 April.<br /> <br /> 25 Apr (Mon)<br /> * ~10:30 am - arrive Caltech<br /> * 10:30 am - Richard Murray<br /> * 11:00 am - George Djorgovski<br /> * 12:00 pm - Lunch with CD3<br /> * 1:30 pm - Yisong Yue (ANB 303)<br /> * 2:15 pm - Adam Wierman (ANB 215)<br /> * 3:15 pm - Maria Spiropulu<br /> * 4:00 pm - Open<br /> * 4:45 pm - Open<br /> * 5:30 pm - Done for the day<br /> * ~6:30 pm - Dinner with Richard<br /> <br /> <br /> 26 Apr (Tue)<br /> * 9:00 am - Open<br /> * 9:45 am - Open<br /> * 10:30 am - Open<br /> * 11:15 am - Open<br /> * 12:00 pm - Lunch with CMS students/postdocs<br /> * 1:30 pm - Mark Stalzer<br /> * 2:15 pm - Richard Murray<br /> * 3:00 pm - depart Caltech</div>

Yyue