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Workshop
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Data-driven mean-variability optimization of PV portfolios with automatic differentiation
Matthias Zech · Lueder von Bremen
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Workshop
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Exploring the potential of neural networks for Species Distribution Modeling
Robin Zbinden · Nina van Tiel · Benjamin Kellenberger · Lloyd Hughes · Devis Tuia
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Workshop
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XAI for transparent wind turbine power curve models
Simon Letzgus
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Workshop
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Plastic Litter Detection using Green AutoML
Daphne Theodorakopoulos · Christoph Manß · Marius Lindauer
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Workshop
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Remote Control: Debiasing Remote Sensing Predictions for Causal Inference
Megan Ayers
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Workshop
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Nested Fourier Neural Operator for Basin-Scale 4D CO2 Storage Modeling
Gege Wen
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Workshop
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Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models
Johannes Getzner · Bertrand Charpentier · Stephan Günnemann
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Poster
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Provably Auditing Ordinary Least Squares in Low Dimensions
Ankur Moitra · Dhruv Rohatgi
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Oral
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Tue 6:20
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Learning Label Encodings for Deep Regression
Deval Shah · Tor Aamodt
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Workshop
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Thu 4:00
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The Effects of Pretraining Task Diversity on In-Context Learning of Ridge Regression
Allan Raventos · Mansheej Paul · Feng Chen · Surya Ganguli
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Workshop
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Thu 4:00
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Controlled assessment of CLIP-style language-aligned vision models in prediction of brain & behavioral data
Colin Conwell · Jacob Prince · Christopher Hamblin · George Alvarez
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Poster
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Tue 7:30
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Topologically penalized regression on manifolds
Olympio Hacquard · Krishnakumar Balasubramanian · Gilles Blanchard · Clément Levrard · Wolfgang Polonik
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