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29 Results
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Poster
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Wed 16:30 |
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking Daniel Dauner · Marcel Hallgarten · Tianyu Li · Xinshuo Weng · Zhiyu Huang · Zetong Yang · Hongyang Li · Igor Gilitschenski · Boris Ivanovic · Marco Pavone · Andreas Geiger · Kashyap Chitta |
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Poster
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Thu 16:30 |
Accelerating ERM for data-driven algorithm design using output-sensitive techniques Maria-Florina Balcan · Christopher Seiler · Dravyansh Sharma |
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Poster
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Thu 16:30 |
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models Samuel Holt · Zhaozhi Qian · Tennison Liu · Jim Weatherall · Mihaela van der Schaar |
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Workshop
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Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing Indu Kant Deo · Youngsoo Choi · Saad Khairallah · Alexandre Reikher · Maria Strantza |
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Workshop
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Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery Yifan Wu · Yuntao Yang · Zirui Liu · Zhao Li · Khushbu Pahwa · Rongbin Li · W. Jim Zheng · Xia Hu · Zhaozhuo Xu |
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Workshop
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Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery Yifan Wu · Yuntao Yang · Zirui Liu · Zhao Li · Khushbu Pahwa · Rongbin Li · W. Jim Zheng · Xia Hu · Zhaozhuo Xu |
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Workshop
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Sun 15:45 |
Data-Driven High-Dimensional Inverse Problems: A Journey Through Strong Gravitational Lensing Data Analysis Laurence Perreault-Levasseur |
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Workshop
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Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow Seung Whan Chung · Youngsoo Choi · Pratanu Roy · Thomas Roy · Tiras Y. Lin · Du Nguyen · Christopher Hahn · Eric Duoss · Sarah Baker |
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Workshop
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Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models Galo Gallardo · Guillermo Rodriguez Llorente · Lucas Magariños · Rodrigo Morant Navascués · Nikita Kkhvatkin Petrovsky · Roberto Gómez-Espinosa Martín |
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Workshop
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Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions Alessio Spagnoletti · Marc Huertas-Company · Alexandre Boucaud · Wassim Kabalan · Biswajit Biswas |
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Poster
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Thu 11:00 |
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks Benjamin Feuer · Robin Schirrmeister · Valeriia Cherepanova · Chinmay Hegde · Frank Hutter · Micah Goldblum · Niv Cohen · Colin White |
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Workshop
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Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data David Schnurr · Kai Helli · Noah Hollmann · Samuel Müller · Frank Hutter |