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Workshop
Fri 16:31 FIRO: A Deep-neural Network for Wildfire Forecast with Interpretable Hidden States
Eduardo Rodrigues · Campbell Watson · Bianca Zadrozny · Gabrielle Nyirjesy
Workshop
Physically-primed deep-neural-networks for generalized undersampled MRI reconstruction
Nitzan Avidan · Moti Freiman
Workshop
FIRO: A Deep-neural Network for Wildfire Forecast with Interpretable Hidden States
Eduardo Rodrigues · Campbell Watson · Bianca Zadrozny · Gabrielle Nyirjesy
Workshop
Fri 9:30 Deep-learning-based characterization of glucose biomarkers to identify type 2 diabetes, prediabetes, and healthy individuals
Sina Akbarian · Qayam Jetha · Jouhyun Jeon
Workshop
Deep-S2SWind: A data-driven approach for improving Sub-seasonal wind predictions
Noelia Otero Felipe · Pascal Horton
Workshop
Deep-pretrained-FWI: combining supervised learning with physics-informed neural network
ANA PAULA MULLER · Clecio Roque Bom · Jessé Carvalho Costa · Elisângela Lopes Faria · Marcelo Portes de Albuquerque · Marcio Portes de Albuquerque
Poster
Wed 14:00 Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping
Hao Sun · Lei Han · Rui Yang · Xiaoteng Ma · Jian Guo · Bolei Zhou
Poster
Tue 14:00 Non-deep Networks
Ankit Goyal · Alexey Bochkovskiy · Jia Deng · Vladlen Koltun
Poster
Wed 14:00 PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics
Omar Shouman · Wassim Gabriel · Victor-George Giurcoiu · Vitor Sternlicht · Mathias Wilhelm
Poster
Tue 14:00 The Neural Testbed: Evaluating Joint Predictions
Ian Osband · Zheng Wen · Seyed Mohammad Asghari · Vikranth Dwaracherla · Xiuyuan Lu · MORTEZA IBRAHIMI · Dieterich Lawson · Botao Hao · Brendan O'Donoghue · Benjamin Van Roy
Poster
Wed 9:00 Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods
Laurent Jospin · Allen Antony · Lian Xu · Hamid Laga · Farid Boussaid · Mohammed Bennamoun
Tutorial
Mon 5:30 Deep dive on foundation models for computer vision
Pin-Yu Chen