2022 GEOMED Conference
GEOMED 2022 will take place at the University of California, Irvine, on 12-14 October 2022. The conference will be held in person, however it will…
Free
Institute & Center Seminars ICS Calendar
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AI/ML Seminar Series
AI/ML Seminar Series: Deep Anomaly Detection
Marius Kloft
Professor of Computer Science PTU Kaiserslautern-Landau, Germany
Anomaly detection is one of the fundamental topics in machine learning and artificial intelligence. The aim is to find instances deviating from the norm –…
Cascade: A Platform for Fast Edge Intelligence (CS/NetSys Seminar)
Ken Birman
N. Rama Rao Professor of Computer Science, Cornell University
There is a growing need to apply machine intelligence and learning at the edge of the cloud. Doing so would reduce delays for interactive LLM…
AI/ML Seminar Series
Losing bits and finding meaning: Efficient compression underlies meaning in language
Noga Zaslavsky
Assistant Professor of Language Science, University of California, Irvine
Our world is extremely complex, and yet we are able to exchange our thoughts and beliefs about it using a relatively small number of words.…
ACO Seminar Series
Core-stability in markets with budget-constrained bidders
Martin Bichler
Technical University of Munich
We study markets where a set of indivisible items is sold to bidders with unit-demand valuations, subject to a hard budget limit. Without financial constraints…
Provably Personalized and Robust Federated Learning
Mariel Werner
PhD Student, Department of Electrical Engineering and Computer Science, UC Berkeley
I will be discussing my recent work on personalization in federated learning. Federated learning is a powerful distributed optimization framework in which multiple clients collaboratively…
AI/ ML Seminar Series
Yian Ma
Assistant Professor, Halicioglu Data Science Institute, UC San Diego
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ACO Seminar Series
Stochastic Contextual Bandits Are Not Harder Than Linear Bandits
Osama Hanna
Ph.D. student, UCLA
Abstract: Linear bandits and contextual bandits are online learning problems that have a wide range of applications, including recommendation systems, healthcare and many others. For…
UCI Institute for Future Health
Adaptable Models for Personalized, Cardiovascular Digital Remote Health
Jack Bobak Mortazavi, Ph.D.
Associate Professor at the Computer Science & Engineering, Texas A&M University
Abstract Models for clinical risk prediction are important tools for clinicians to understand the risks of adverse event decision-making, stratify patient populations, and enable shared…
AI/ ML Seminar Series
Yuhua Zhu
Assistant Professor, Halicioglu Data Science Institute and Dept. of Mathematics, UC San Diego
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AI/ ML Seminar Series
Tryphon Georgiou
Distinguished Professor of Mechanical and Aerospace Engineering, UC Irvine
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AI/ML Seminar Series
Handformer2T: A Lightweight Regression-based Model for Interacting Hands Pose Estimation from a Single RGB Image
Deying Kong
PhD Student, Department of Computer Science, UC Irvine, Software Engineer, Google
Abstract: Despite its extensive range of potential applications in virtual reality and augmented reality, 3D interacting hand pose estimation from RGB image remains a very…