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Workshop
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Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models
Zalan Fabian · Berk Tinaz · Mahdi Soltanolkotabi
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Workshop
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Mask-Agnostic Posterior Sampling MRI via Conditional GANs with Guided Reconstruction
Matthew Bendel · Rizwan Ahmad · Philip Schniter
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Poster
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Thu 8:45
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Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
Tobit Klug · Dogukan Atik · Reinhard Heckel
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Workshop
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Sat 14:30
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Quantifying Generative Model Uncertainty in Posterior Sampling Methods for Computational Imaging
Canberk Ekmekci · Mujdat Cetin
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Workshop
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Self-supervised Low-rank plus Sparse Network for Radial MRI Reconstruction
Andrei Mancu · Wenqi Huang · Gastao da Cruz · Daniel Rueckert · Kerstin Hammernik
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Poster
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Tue 15:15
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Noise-Adaptive Thompson Sampling for Linear Contextual Bandits
Ruitu Xu · Yifei Min · Tianhao Wang
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Poster
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Tue 15:15
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Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation
Jinpeng Chen · Runmin Cong · Yuxuan LUO · Horace Ip · Sam Kwong
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Workshop
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Sat 14:45
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Model-adapted Fourier sampling for generative compressed sensing
Aaron Berk · Simone Brugiapaglia · Yaniv Plan · Matthew Scott · Xia Sheng · Ozgur Yilmaz
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Poster
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Wed 8:45
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Optimal Preconditioning and Fisher Adaptive Langevin Sampling
Michalis Titsias
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Workshop
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Non-Uniform Sampling and Adaptive Optimizers in Deep Learning
Thibault Lahire
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Poster
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Tue 15:15
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Adaptive Selective Sampling for Online Prediction with Experts
Rui Castro · Fredrik Hellström · Tim van Erven
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Poster
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Tue 8:45
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Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction
YUANHAO WANG · Ramzi Idoughi · Wolfgang Heidrich
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