1.4k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
7 papers
Robust and Efficient Penetration-Free Elastodynamics without Barriers
Juntian Zheng, Zhaofeng Luo, Minchen Li
We introduce a barrier-free optimization framework for non-penetration elastodynamic simulation that matches the robustness of Incremental Potential Contact (IPC) while overcoming…
Seq2Seq2Sentiment: Multimodal Sequence to Sequence Models for Sentiment Analysis
Hai Pham, Thomas Manzini, Paul Pu Liang +1
Multimodal machine learning is a core research area spanning the language, visual and acoustic modalities. The central challenge in multimodal learning involves learning representa…
DARTS: Differentiable Architecture Search
Hanxiao Liu, Karen Simonyan, Yiming Yang
This paper addresses the scalability challenge of architecture search by formulating the task in a differentiable manner. Unlike conventional approaches of applying evolution or re…
A microscopic continuum model for defect dynamics in metallic glasses
Amit Acharya, Michael Widom
Motivated by results of the topological theory of glasses accounting for geometric frustration, we develop the simplest possible continuum mechanical model of defect dynamics in me…
Non-Parametric Inference in Astrophysics
Larry Wasserman, Christopher J. Miller, Robert C. Nichol +6
We discuss non-parametric density estimation and regression for astrophysics problems. In particular, we show how to compute non-parametric confidence intervals for the location an…
Fast Algorithms and Efficient Statistics: Density Estimation in Large Astronomical Datasets
A. J. Connolly, C. Genovese, A. W. Moore +3
In this paper, we outline the use of Mixture Models in density estimation of large astronomical databases. This method of density estimation has been known in Statistics for some t…
Computational AstroStatistics: Fast Algorithms and Efficient Statistics for Density Estimation in Large Astronomical Datasets
R. C. Nichol, A. J. Connolly, A. W. Moore +3
We present initial results on the use of Mixture Models for density estimation in large astronomical databases. We provide herein both the theoretical and experimental background f…