by Martina Megaro | Jul 11, 2018 | Machine Learning
Improving Optimization in Models with Continuous Symmetry Breaking We propose a new optimization algorithm that speeds up convergence using ideas from gauge theory in physics. July 11, 2018International Conference on Machine Learning (ICML) 2018 Authors Robert...
by Martina Megaro | Jul 11, 2018 | Animation, Visual Computing
HairControl: A Tracking Solution for Directable Hair Simulation We present a method for adding artistic control to physics-based hair simulation. July 11, 2018ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA) 2018 Authors Antoine Milliez...
by Martina Megaro | Jul 9, 2018 | Machine Learning
Quasi Monte Carlo Variational Inference We propose variance reduction by means of Quasi-Monte Carlo (QMC) sampling. July 9, 2018International Conference on Machine Learning (ICML) 2018 Authors Alexander Buchholz (ENSAE-CREST) Florian Wenzel (Humboldt...
by Martina Megaro | Jul 9, 2018 | Machine Learning, Visual Computing
Iterative Amortized Inference We demonstrate the inference optimization capabilities of iterative inference models and show that they outperform standard inference models on several benchmark data sets of images and text. July 9, 2018International Conference on...
by Martina Megaro | Jul 3, 2018 | Digital Fabrication, Robotics
Computational Design of Robotic Devices from High-Level Motion Specifications We demonstrate the effectiveness of our computational design method by automatically creating a variety of robotic manipulators and legged robots. July 3, 2018IEEE Transactions on Robotics...
