Conferences, Lectures, & Seminars
Events for August
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AI SEMINAR-Decoherence and Measurement Properties of Phase Qubits
Fri, Aug 09, 2013 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Emily Pritchett, Saarland University in Saarbrücken, Germany
Talk Title: Decoherence and Measurement Properties of Phase Qubits
Series: AISeminar
Abstract: Over the past five years, the coherence times of phase qubits have increased an order of magnitude to ~1üs, but are now multiple orders of magnitude shorter than leading superconducting qubits. The saturation of coherence times in phase qubits has spurred a large experimental initiative in the superconducting community to understand and engineer cleaner materials. I present numerical evidence that many of these spurious resonances are intrinsic to the phase qubit itself and not the environment as was previously assumed.
While identifying this problem could lead to longer coherence times through better control techniques, I instead will focus on applications of the phase qubit as a controllably 'dirty' quantum device, immediately useful for practical quantum measurement problems. Phase qubits can be used as a novel photon counter (JPM). I discuss many practical applications of such a measurement scheme, including the creation of interesting nonclassical states.
Biography: Bio: Emily Pritchett is a postdoctoral researcher in theoretical physics at the Saarland University. She received a PhD in Physics from the University of Georgia in 2010.
Host: Kristina Lerman
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=d521c832254c4618931fa7f55fa1e0ad1dLocation: Information Science Institute (ISI) -
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=d521c832254c4618931fa7f55fa1e0ad1d
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
NL Seminar- Gully Burns: "Bridging Between Bioinformatics and Natural Language Processing"
Fri, Aug 16, 2013 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Gully Burns, USC/ISI
Talk Title: Bridging Between Bioinformatics and Natural Language Processing
Series: Natural Language Seminar
Abstract: Abstract: The Mouse Genome Informatics database (MGI) has participated extensively in shared NLP challenges focused on developing infrastructure for their use. This collaboration has advanced the field of applying NLP to biomedical text but has not yet generated workable technology for use in the lab. In advance of a workshop (Monday August 19, 2013 at ISI) dedicated to this subject, I will describe the SciKnowMine project to introduce the domain of biomedical NLP and to showcase how we can collaboratively accelerate the process of biocuration, making these important databases far more effective.
Students, colleagues! You are very welcome to the workshop: http://www.isi.edu/projects/sciknowmine/sciknowmine_release_workshop_-_bridging_bionlp_and_biocuration
Biography: Home Page:
http://www.isi.edu/people/burns/homepage
Host: Yang Gao
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
AI SEMINAR
Fri, Aug 23, 2013 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Xiaoran Yan, University of New Mexico
Talk Title: Variational Inference of Community Models: A Unifying Learning Framework
Series: AISeminar
Abstract: Community detection is an important part of network modelling, as community structure offers clues to the processes which generated the networks. We propose a general variational framework for learning community based network models, which offers a range of approximation options. In particular, a message passing algorithm under this framework achieves a good balance between accuracy and scalability. The framework is closely related to many other popular algorithms for community detection, including random walk and spectral clustering. To showcase an application, we will study the model selection problem for stochastic block models, in which the framework is adapted to learn information theoretic measures for comparing candidate models.
Biography: Xiaoran Yan is a computer science Ph.D. candidate at the University of New Mexico. He also works as a graduate fellow at the Santa Fe Institute under the advisement of Cris Moore. His work focus on community detection on complex networks, including building statistical models and developing scalable learning algorithms. He has recently defended his dissertation on model selection for stochastic block models. He got his bachelor's degree at the Zhejiang University in China.
Host: Kristina Lerman
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=8013c24dbbde4b42ba0f10da844fe2621dLocation: Information Science Institute (ISI) -
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=8013c24dbbde4b42ba0f10da844fe2621d
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
NL Seminar-Jonathan May: "Models of Translation Competitions"
Fri, Aug 23, 2013 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Jonathan May, SDL- Language Weaver
Talk Title: "Models of Translation Competitions (long paper at ACL2013)"
Series: Natural Language Seminar
Abstract: What do we want to learn from a translation competition and how do we learn it with confidence? We argue that a disproportionate focus on ranking competition participants has led to lots of different rankings, but little insight about which rankings we should trust. In response, we provide the first framework that allows an empirical comparison of different analyses of competition results. We then use this framework to compare several analytical models on data from the Workshop on Machine Translation (WMT).
Biography: http://www.jonmay.net/
Host: Yang Gao
More Info: http://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
NL Seminar- Tomer Levinboim: "MKL and Low Rank
Fri, Aug 30, 2013 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Tomer Levinboim, USC/ISI
Talk Title: "MKL and Low Rank Multiplicative Shaping
Series: Natural Language Seminar
Abstract: Multiple Kernel Learning (MKL) has been a subject of intensive research over the past decade. Instead of searching for a good kernel function (implicitly, feature transformation of our data), the idea is to learn a combination of kernels that optimizes our objective. This formulation has found usage in feature selection and interpretability as well as (sometimes) leading to increased classification accuracy. In the talk, I will provide an introduction to MKL as well as present and compare a few MKL formulations for SVM classification. Given time, I will present our own non-linear (yet still convex) MKL formulation that linearly combines kernels that are first multiplied by low-rank matrices.
Biography: Home Page:
http://www-scf.usc.edu/~levinboi/
Host: Yang Gao
More Info: http://nlg.isi.edu/nl-seminar/
Location: 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
