May 30, 2019 @ 9:35 am
WCH 202
TITLE: Learning Robust Visual-Semantic Retrieval Models with Limited Supervision Niluthpol Mithun-PhD Dissertation Defense Flyer.docx
May 20, 2019 @ 11:10 am
WCH 205/206
TITLE: Novel Optical Material Platforms for Nanophotonics Jie Yao.pdf
May 13, 2019 @ 11:10 am
WCH 205/206
TITLE: Machine Learning Physics: From Quantum Mechanics to Holographic Geometry Yi-Zhuang You Flyer.pdf
May 06, 2019 @ 11:10 am
WCH 205/206
TITLE: Brain-Inspired Hyperdimensional Computing and Machine Learning Acceleration for IoT Applications We live in a world where technological advances are continually creating more data than what we can cope with. With the emergence of the Internet of Things, devices will generate massive data streams demanding services that…
May 03, 2019 @ 11:00 am
Bourns A265
TITLE: Observation-Driven Sensor Scheduling Marcos Vasconcelos Announcment_0.pdf
May 01, 2019 @ 11:10 am
WCH 205/206
TITLE: Saddle-Point Perspective of Reinforcement Learning Flyer Template-Donghwan Lee.pdf
April 29, 2019 @ 11:10 am
WCH 205/206
TITLE: Active Hypothesis Testing: Musings on the Non-Asymptotic Case Exploration-exploitation problems abound in applications such as anomaly detection, target localization, dynamical system tracking, medical diagnosis, wireless body area sensor networks etc. Initially, one is unclear about the state of the environment and the…
April 22, 2019 @ 11:10 am
WCH 205/206
TITLE: Topological in Hydrodynamics in Insulators I will discuss transport phenomena in nonmetallic solid-state systems, which are engendered by the order-parameter topology. Unlike the traditional conservation laws that are rooted in a global symmetry, the hydrodynamics here are governed by the topological structure of the field…
April 15, 2019 @ 11:10 am
WCH 205/206
TITLE: Energy and Spectral Efficiency in Next Generation Cellular Networks In this talk, we will first discuss the importance of energy efficiency (EE) in nextgeneration multi-cell heterogenous networks (HetNets). We will than discuss the tradeoff of EE and and spectral efficiency (SE) in multi-cell HetNets. Our objective is to…
April 08, 2019 @ 11:10 am
WCH 205/206
TITLE: Deconstructing Distributed Deep Learning Deep learning has made substantial strides in computer vision, speech recognition, natural language processing, and other applications. New training techniques, larger datasets, increased computing power, and easy-to-use machine learning frameworks (such as TensorFlow, PyTorch or…