Videos

Making Small Spaces Feel Large: Practical Illusions in Virtual Reality

Making Small Spaces Feel Large: Practical Illusions in Virtual Reality

2 years ago
Over the past few years, virtual reality has experienced a remarkable resurgence. Fueled by a proliferation of consumer-level head-mounted display and motion tracking devices, an unprecedented quantity of immersive experiences and content has become available for both desktop and mobile VR platforms. However, the problem of locomotion – human movement through a virtual world – […]
Machine Learning as Creative Tool for Designing Real-Time Expressive Interactions

Machine Learning as Creative Tool for Designing Real-Time Expressive Interactions

2 years ago
Supervised learning algorithms can be understood not only as a set of techniques for building accurate models of data, but also as design tools that can enable rapid prototyping, iterative refinement, and embodied engagement- all activities that are crucial in the design of new musical instruments and other embodied interactions. Realising the creative potential of […]
Recent Developments in Combinatorial Optimization

Recent Developments in Combinatorial Optimization

2 years ago
In the past several years, there has been a lot of progress on combinatorial optimization. Using techniques in convex optimization, geometry, spectral graph theory and randomization, researchers have developed provably faster algorithms for many classical problems such as linear programming and maximum flow problems. In this talk, I will discuss my work in this area […]
Computational Limits in Statistical Inference: Hidden Cliques and Sum of Squares

Computational Limits in Statistical Inference: Hidden Cliques and Sum of Squares

2 years ago
Characterizing the computational complexity of statistical inference problems is an outstanding open problem. This is gaining increasing importance given the ubiquity of large scale data analysis and algorithms in application domains as diverse as genomics, healthcare, finance and social sciences. The hidden clique problem is a prototypical example of an inference problem wherein computational constraints […]
Coloring the Universe: An Insider’s Look at Making Spectacular Images of Space

Coloring the Universe: An Insider’s Look at Making Spectacular Images of Space

2 years ago
Coloring the Universe: Many images of the Universe are spectacular, but are they “real”? Delving deep into the often-unseen world of how images of astronomy are created, this book provides the reader with a unique behind-the-scenes look at exactly how we get these impressive and important visual slices of our Universe. This book opens a […]
Towards Understandable Neural Networks for High Level AI Tasks – Part 6

Towards Understandable Neural Networks for High Level AI Tasks – Part 6

2 years ago
Encoding discrete symbol structures as numerical vectors for neural network computation enables the similarity structure inherent in vectorial representations to yield generalizations that reflect content-similarity in a structure-sensitive fashion. Two examples will be presented. In language understanding, the mapping of arguments from syntactic roles (subject, object, etc.) to semantic roles (agent, patient, etc.) is controlled […]
The 37th UW/MS Symposium in Computational Linguistics

The 37th UW/MS Symposium in Computational Linguistics

2 years ago
Two talks from the 37th UW/MS Symposium in Computational Linguistics are featured: Using IGT with INTENT: Automatically Enriching Interlinear Glossed Text (IGT) and Discovering Outcomes via Propensity Score Analysis of Social Media Timelines.
The Linear Algebraic Structure of Word Meanings

The Linear Algebraic Structure of Word Meanings

2 years ago
Word embeddings are often constructed with discriminative models such as deep nets and word2vec. Mikolov et al (2013) showed that these embeddings exhibit linear structure that is useful in solving “word analogy tasks”. Subsequently, Levy and Goldberg (2014) and Pennington et al (2014) tried to explain why such linear structure should arise in embeddings derived […]
NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 7

NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 7

2 years ago
Session 7 of the NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering.
NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 8

NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 8

2 years ago
1:15pm – 2:45 – Language Generation from Code Dawn Lawrie Graham Neubig
NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 5

NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 5

2 years ago
2:30 – 4:00 Earl Barr: Inference Problems in Software Engineering Daniel Tarlow: TBA (Chairs: Charles Sutton, Tien Nguyen)
NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 3

NSF Interdisciplinary Workshop on Statistical NLP and Software Engineering – Session 3

2 years ago
9:00am – 9:30am Opening Session and Introduction 9:30am – 10:15am Software tools and processes