Date: | January 15, 2020 |
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Location: | DC 3317 |
Time: | 10:30 |
Chair: | Nathan King |
Date: | January 22, 2020 | January 29, 2020 | February 5, 2020 | February 12, 2020 |
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Location: | DC 3317 10:30 | DC 3317 10:30 | DC 3317 10:30 | DC 3317 10:30 |
Chair: | Ilene Lu |
Sina Nabizadeh |
Jonathan Panuelos |
Greg Philbrick |
Technical Presentation: | Nathan King |
Ilene Lu |
Sina Nabizadeh |
Jonathan Panuelos |
Craig Kaplan |
Title : Direct Manipulation of Isohedral Tiling Vertices
Abstract: Shapes that tile the plane isohedrally are made up of edges where tiles abut their neighbours, which are in turn bounded by tiling vertices. Editing the shapes of the edges is easy because they can be manipulated freely; editing the locations of the tiling vertices is difficult because their positions are coupled via a low-dimensional tiling vertex parameterization. I will show how we can support some amount of direct manipulation of tiling vertices by solving for suitable adjustments to the parameterization in response to changes to a vertex's position. |
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Wednesday, 15 January 2020, 10:30AM - Computer Science (Software Engineering Research Group), DC 1304 Silvia Abrahão: -- On the Effectiveness of Goal-oriented Modeling Languages: Value@GRL vs. i ∗ Thursday, 16 January 2020, 10:00AM - Statistics & Actuarial Science , M3-3127 Victor Veitch: -- Adapting black-box machine learning methods for causal inference Thursday, 16 January 2020, 10:30AM - Computer Science (Cryptography, Security, and Privacy (CrySP) Group), DC 1304 Meng Xu: -- Finding Semantic Bugs in Kernels: The Symbolic Way and the Fuzzy Way Thursday, 16 January 2020, 2:00PM - Applied Mathematics , MC 6460 [Newish] Matthias Voigt: -- Numerical Methods in H-infinity-Control Thursday, 16 January 2020, 2:30PM - Combinatorics and Optimization (Algebraic Combinatorics), MC 5417 [Newish] David Wagner: -- Electrical networks, random spanning trees, and matroids Thursday, 16 January 2020, 4:00PM - Combinatorics and Optimization (Graphs and Matroids), MC 5479 [Newish] Jim Geelen: -- Relaxation of circuit-hyperplanes Friday, 17 January 2020, 10:30AM - Computer Science (Artificial Intelligence Lab), DC 1302 Ryan Smith: -- Emotion-cognition Interactions as Deep Active Inference Friday, 17 January 2020, 1:30PM - Computer Science (Centre for Theoretical Neuroscience), E7 6323 Ivana Kajić: -- Learning to Cooperate: Emergent Communication in Multi-agent Navigation Monday, 20 January 2020, 9:00AM - Computer Science (Artificial Intelligence Lab), E7 5417 [New!] Wei Tao Chen: -- Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active Learning Monday, 20 January 2020, 10:00AM - Statistics & Actuarial Science , M3 - Mathematics 3, Room 3127 [Newish] Jared Huling: -- Sufficient Dimension Reduction for Populations with Structured Heterogeneity Monday, 20 January 2020, 10:30AM - Computer Science (Artificial Intelligence Lab), DC 1304 [New!] Jacob Gardner: -- Risk-Aware Machine Learning at Scale Monday, 20 January 2020, 4:00PM - Pure Mathematics , MC 5501 [New!] Igor Shparlinski: -- Integers of prescribed arithmetic structure in residue classes Tuesday, 21 January 2020, 2:00PM - Computer Science (Artificial Intelligence Lab), E7 5419 [Newish] Aravind Balakrishnan: -- Closing the Modelling Gap: Transfer Learning from a Low-Fidelity Simulator for Autonomous Driving Tuesday, 21 January 2020, 4:00PM - Computer Science (Artificial Intelligence Lab), E7 5419 [Newish] Ashish Gaurav: -- Safety-Oriented Stability Biases for Continual Learning Tuesday, 21 January 2020, 10:00PM - Statistics & Actuarial Science , M3 - Mathematics 3, Room 3127 [Newish] Lu Yang: -- Diagnostics for Regression Models with Discrete Outcomes Wednesday, 22 January 2020, 10:00AM - Statistics & Actuarial Science , M3 - Mathematics 3, Room 3127 [Newish] Lin Liu: -- The possibility of nearly assumption-free inference in causal inference Wednesday, 22 January 2020, 10:00AM - Statistics & Actuarial Science , M3 - Mathematics 3, Room 3127 [Newish] Lin Liu: -- The possibility of nearly assumption-free inference in causal inference Wednesday, 22 January 2020, 4:00PM - Computer Science (Artificial Intelligence Lab), E7 5419 [New!] Sachin Vernekar: -- Classifier-based Approach for Out-of-distribution Detection Thursday, 23 January 2020, 10:30AM - Computer Science (Software Engineering Research Group), DC 1304 [New!] Shane McIntosh: -- Leveraging the Build System to Support Modern Software Release Practices Thursday, 23 January 2020, 3:00PM - Computer Science (Systems and Networking), DC 2310 [Newish] Zuhair AlSader: -- Optimizing MPI Collective Operations for Cloud Deployments Friday, 24 January 2020, 10:00AM - Statistics & Actuarial Science , M3 - Mathematics 3, Room 3127 [Newish] Michael Gallaugher: -- Clustering and Classification of Three-Way Data
Also see other Math and CS postings.