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- Brown UniversityUS17 papers
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6 papers · 1 filter
Fitting Reinforcement Learning Model to Behavioral Data under Bandits
Hao Zhu, Jasper Hoffmann, Baohe Zhang +1
We consider the problem of fitting a reinforcement learning (RL) model to some given behavioral data under a multi-armed bandit environment. These models have received much attenti…
Hyperbolic embedding of multilayer networks
Martin Guillemaud, Vera Dinkelacker, Mario Chavez
Multilayer networks offer a powerful framework for modeling complex systems across diverse domains, effectively capturing multiple types of connections and interdependent subsystem…
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models
Jin Liu, Qing Lin, Zhuang Xiong +7
Incoherent k-space undersampling and deep learning-based reconstruction methods have shown great success in accelerating MRI. However, the performance of most previous methods will…
Learning Scene-Level Signed Directional Distance Function with Ellipsoidal Priors and Neural Residuals
Zhirui Dai, Hojoon Shin, Yulun Tian +2
Dense reconstruction and differentiable rendering are fundamental tightly connected operations in 3D vision and computer graphics. Recent neural implicit representations demonstrat…
Efficient Inference in First Passage Time Models
Sicheng Liu, Alexander Fengler, Michael J. Frank +1
First passage time models describe the time it takes for a random process to exit a region of interest and are widely used across various scientific fields. Fast and accurate numer…
Fourier-Based 3D Multistage Transformer for Aberration Correction in Multicellular Specimens
Thayer Alshaabi, Daniel E. Milkie, Gaoxiang Liu +17
High-resolution tissue imaging is often compromised by sample-induced optical aberrations that degrade resolution and contrast. While wavefront sensor-based adaptive optics (AO) ca…