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Past Seminars

Feb

20

2020

Chris Thachuk Chris Thachuk - Programming Molecular Energy Landscapes for Precise Placement and Robust Computation

Chris Thachuk

California Institute of Technology

WHERE: 126 DeBartolo
FROM: 3:30PM TO 4:45PM

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Dec

12

2019

Julian McAuley Julian McAuley - Personalized Models of Natural Language

Julian McAuley

UC-San Diego

WHERE: 131 DeBartolo
FROM: 3:30PM TO 4:45PM

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Dec

5

2019

Morteza Dehghani Morteza Dehghani - Computation and Morality: Integrating Diverse Data to Study Moral Behavior in the Wild

Morteza Dehghani

University of Southern California

WHERE: 131 DeBartolo
FROM: 3:30PM TO 4:45PM

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Nov

7

2019

Tim Weninger - Structure Discovery from Graph Data

Tim Weninger

University of Notre Dame

WHERE: 131 DeBartolo
FROM: 3:30PM TO 4:45PM

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Oct

30

2019

Fred Chong Dr. Fred Chong - Resource-Efficient Quantum Computing by Breaking Abstractions

Fred Chong

University of Chicago

WHERE: 120 DeBartolo
FROM: 3:30PM TO 4:30PM

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Oct

17

2019

Samantha Lee Samantha Lee - Proposal Writing, Practical Advice for Graduate Students in CSE

Samantha Lee

University of Notre Dame

WHERE: 131 DeBartolo
FROM: 3:30PM TO 4:45PM

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Oct

3

2019

Walter Scheirer Walter Scheirer - The Limits and Potentials of Deep Learning for Facial Analysis

Walter Scheirer

University of Notre Dame

WHERE: 131 DeBartolo
FROM: 3:30PM TO 4:45PM

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Apr

25

2019

Joseph Crawford Joseph Crawford - Discovering Important Patterns Across and Within Networks via Network Alignment and Clustering

Joseph Crawford

University of Notre Dame

WHERE: 126 Debartolo
FROM: 3:30PM TO 4:45PM

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Apr

18

2019

Hanghang Tong Hanghang Tong - Deep Network Mining: Exploring the Power and Beauty of Network of Networks

Hanghang Tong

WHERE: 126 DeBartolo
FROM: 3:30PM TO 4:45PM

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Mar

28

2019

Yanfang (Fanny) Ye Yanfang (Fanny) Ye - Towards Next-generation Anti-malware Techniques in the AI Age

Yanfang (Fanny) Ye

West Virginia University

WHERE: 126 DeBartolo
FROM: 3:30PM TO 4:45PM

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Mar

21

2019

Ling Liu Ling Liu - Trust and Privacy of Deep Learning in Adversarial Settings

Ling Liu

Georgia Tech

WHERE: 126 DeBartolo
FROM: 3:30PM TO 4:45PM

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Mar

7

2019

Lingfei Wu - Graph-to-Sequence Learning in Natural Language Processing

Lingfei Wu

IBM Watson

WHERE: 126 DeBartolo
FROM: 3:30PM TO 4:45PM

In this talk, I will talk about a newly developed deep neural network model namely, Graph2Seq, a generalized Seq2Seq model for graph inputs. And then I will illustrate how to apply this model in two different NLP tasks - SQL-to-Text and Semantic Parsing.

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Feb

28

2019

Nathan Jacobs Nathan Jacobs - Understanding Places Using Ground-Level and Overhead Views

Nathan Jacobs

University of Kentucky

WHERE: 126 DeBartolo
FROM: 3:30PM TO 4:45PM

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Feb

21

2019

Marinka Zitnik Marinka Zitnik - Deep Learning for Network Biomedicine

Marinka Zitnik

WHERE: 126 DeBartolo
FROM: 3:30PM TO 4:45PM

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Feb

19

2019

Alan Kuhnle Alan Kuhnle - Efficient Methods for Large-Scale Data Analysis

Alan Kuhnle

University of Florida

WHERE: 258 Fitzpatrick
FROM: 3:30PM TO 4:30PM

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Feb

14

2019

Nichola Lubold Nichola Lubold - Producing Acoustic-Prosodic Entrainment in a Robotic Learning Companion to Build Learner Rapport

Nichola Lubold

Arizona State University

WHERE: 126 DeBartolo
FROM: 3:30PM TO 4:45PM

Dialogue systems are entering mainstream society via personalized assistants like Siri and Alexa, and while they are capable communicators, they still have not entirely mastered that crucial ability to be social. This talk will explore how the social capabilities of dialogue systems can be enhanced with conversational behaviors like entrainment, a phenomenon that occurs when interlocutors adapt to one another over the course of a conversation, and we will look at how enhancing social engagement can positively influence other related outcomes.

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Feb

7

2019

Clare Harshey & Alicia Scott Clare Harshey & Alicia Scott-Automated Cyber Evaluation (ACE) Research Project & Natural Language Processing (NLP) for Reliability Analysis

Clare Harshey & Alicia Scott

NSWC-Crane Division

WHERE: 126 DeBartolo
FROM: 3:30PM TO 4:45PM

Alicia Scott and Clare Harshey (NSWC Crane) present an overview of natural language processing (NLP) efforts at the Crane Artificial Intelligence Development Lab (CrAIDL). Topics covered include NLP for reliability analysis and cybersecurity risk evaluation.

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Jan

31

2019

This week's seminar will be re-scheduled for a later date

TBA

WHERE: 126 DeBartolo
FROM: 3:30PM TO 4:45PM

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