CSL Master Calendar
First 100 matches found
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ABSTRACT | I was recently asked whether I would still defend single-thread performance as something important. I think they expected me to say no. But the more I think about it, even with billions of transistors, there is good reason to argue for the importance of working on single-thread performance today. So I said, sure. So, now they are planning a reprise.
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ABSTRACT: Isotonic regression is a standard problem in shape-constrained estimation where the goal is to estimate an unknown nondecreasing regression function $f$ from independent pairs $(x_i, y_i)$ where $E[y_i]=f(x_i), i=1, \ldots n$. While this problem is well understood both statistically and computationally, much less is known about its uncoupled counterpart where
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Our Summer Symposium (formerly Summer School) program offers an intensive, engaging, and value-packed week of topics and integrated learning activities focused on cybersecurity and cyber-resiliency of energy delivery systems for the electric power and oil and gas industries.
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Lt. Todd Short of UI Campus Police will discuss how to stay safe in the event of an emergency in CSL facilities. Attendance is strongly encouraged for all occupants.
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Adviser Venugopal V. Veeravalli
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Adviser Pramod Viswanath
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Advisers Pramod Viswanath and Sewoong Oh
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Adviser Yoram Bresler
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Fall 2019 CSL SINE Seminar
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Morning Tutorial by Christoforos Hadjicostis Session begins: 9:30am-11:30am Lunch break: 11:30am-12:30pm (Lunch will not be provided) Session resumes: 12:30pm-1:30pm
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Afternoon Tutorial by Angelia Nedich from Arizona State University Session begins: 2:00pm-3:30pm Afternoon break: 3:30pm-4:00pm (Snacks and water will be provided) Session resumes: 4:00pm-5:30pm
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Each year, the Allerton Conference draws some of the brightest minds from industry, academia and government to discuss innovation in the fields of communication, control and computing. We invite you to submit your work and join us at Allerton Park and Retreat Center for an exciting few days of presentations, special events and networking.
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Adviser: Andrew C. Singer, Home department: ECE
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From simple logical constructs to complex deep neural network models, Artificial Intelligence (AI)-agents are increasingly controlling physical/mechanical systems. Self-driving cars, drones, and smart cities are just examples of such systems to name a few.
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Short bio: Ludovic Righetti is an Associate Professor in the Electrical and Computer Engineering Department and in the Mechanical and Aerospace Engineering Department at the Tandon School of Engineering of New York University and a Senior Researcher at the Max-Planck Institute for Intelligent Systems in Germany. He holds an engineering diploma in Computer Science and a Do
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Half gift day from President/Chancellor (a.m.), half excused day (p.m.)