Soledad Villar
- Utility Ghost: Gamified redistricting with partisan symmetry
2018/12/14 by Dustin G. Mixon, Soledad Villar, Mixon, Dustin G. +1 · 2 voices · 1 citation
Computer Science · Economics, Econometrics and Finance · Social Sciences · #Electoral Systems and Political Participation #Game Theory and Voting Systems #Internet Traffic Analysis and Secure E-voting #cs.GT #math.CO #physics.soc-ph
- Is machine learning good or bad for the natural sciences?
2024/05/28 by David W. Hogg, Hogg, David W., Soledad Villar +1 · 9 voices · 4 citations
Business, Management and Accounting · Computer Science · #Big Data and Business Intelligence #Computational Physics and Python Applications #astro-ph.IM #cs.LG #physics.data-an #stat.ML
- Fine-grained Expressivity of Graph Neural Networks
2023/06/06 by Jan Böker, Böker, Jan, Ron Levie +7 · 6 citations
Engineering · Computer Science · #Advanced Memory and Neural Computing #Advanced Graph Neural Networks #Ferroelectric and Negative Capacitance Devices
- Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
2023/06/24 by Sharut Gupta, Joshua Robinson, Gupta, Sharut +7 · 4 citations
Computer Science · Earth and Planetary Sciences · Engineering · #3D Surveying and Cultural Heritage #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging and Analysis
- Prospective Learning: Principled Extrapolation to the Future
2022/01/19 by Ashwin De Silva, De Silva, Ashwin, Rahul Ramesh +91 · 2 voices · 1 citation
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Data-Driven Disease Surveillance #Domain Adaptation and Few-Shot Learning #cs.AI #cs.LG
- Approximately Equivariant Graph Networks
2023/08/21 by Ningyuan Huang, Huang, Ningyuan, Ron Levie +3 · 4 citations
Computer Science · Neuroscience · #Advanced Graph Neural Networks #Functional Brain Connectivity Studies #Brain Tumor Detection and Classification
- MREC: a fast and versatile framework for aligning and matching point clouds with applications to single cell molecular data
2020/01/06 by Andrew J. Blumberg, Mathieu Carrière, Blumberg, Andrew J. +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Single-cell and spatial transcriptomics #Topological and Geometric Data Analysis
- Graph neural networks and non-commuting operators
2024/11/06 by Kaiying O’Hare, Velasco, Mauricio, Bernardo Rychtenberg +4 · 3 citations
Computer Science · #Neural Networks and Applications
- Equivariant geometric convolutions for emulation of dynamical systems
2023/05/21 by Wilson G. Gregory, David W. Hogg, Gregory, Wilson G. +9 · 1 citation
Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Computational Physics and Python Applications #Advanced Numerical Analysis Techniques
- Towards fully covariant machine learning
2023/01/31 by Soledad Villar, Villar, Soledad, David W. Hogg +7 · 1 citation
Computer Science · Decision Sciences · #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Physics (math-ph) #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
- A polynomial-time relaxation of the Gromov-Hausdorff distance
2016/10/17 by Soledad Villar, Afonso S. Bandeira, Villar, Soledad +5 · 1 citation
Computer Science · Mathematics · #Computational Geometry (cs.CG) #Digital Image Processing Techniques #FOS: Computer and information sciences #FOS: Mathematics #Geometric Topology (math.GT) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Point processes and geometric inequalities #Topological and Geometric Data Analysis