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58 Results
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Workshop
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Fri 6:20 |
Polygonizer: An auto-regressive building delineator Maxim Khomiakov · Michael Andersen · Jes Frellsen |
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Poster
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Transformer-based model for symbolic regression via joint supervised learning Wenqiang Li · Weijun Li · Linjun Sun · Min Wu · Lina Yu · Jingyi Liu · Yanjie Li · Songsong Tian |
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Poster
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Tue 2:30 |
Sampling-based inference for large linear models, with application to linearised Laplace Javier Antorán · Shreyas Padhy · Riccardo Barbano · Eric Nalisnick · David Janz · José Miguel Hernández Lobato |
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Poster
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Regression with Label Differential Privacy Badih Ghazi · Pritish Kamath · Ravi Kumar · Ethan Leeman · Pasin Manurangsi · Avinash Varadarajan · Chiyuan Zhang |
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Poster
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Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks Namjoon Suh · Tian-Yi Zhou · Xiaoming Huo |
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Poster
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Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms Kei Sen Fong · Shelvia Wongso · Mehul Motani |
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Poster
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Tue 2:30 |
Easy Differentially Private Linear Regression Kareem Amin · Matthew Joseph · Mónica Ribero · Sergei Vassilvitskii |
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Workshop
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Improving a Shoreline Forecasting Model with Symbolic Regression Mahmoud AL NAJAR · Rafael ALMAR · Erwin BERGSMA · Jean-Marc DELVIT · Dennis Wilson |
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Poster
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FastFill: Efficient Compatible Model Update Florian Jaeckle · Fartash Faghri · Ali Farhadi · Oncel Tuzel · Hadi Pouransari |
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Workshop
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Improving the spatial accuracy of extreme tropical cyclone rainfall in ERA5 using deep learning Guido Ascenso · Andrea Ficchì · Matteo Giuliani · Leone Cavicchia · Enrico Scoccimarro · Andrea Castelletti |
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Poster
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Almost Linear Constant-Factor Sketching for and Logistic Regression Alexander Munteanu · Simon Omlor · David Woodruff |
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Workshop
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Improving extreme weather events detection with light-weight neural networks Romain Lacombe · Hannah Grossman · Lucas Hendren · David Ludeke |