• Hydroclimatic Drivers on Groundwater Nitrate Variability in Western Wisconsin 

  Matson, Aidan; Coleman Wasik, Jill; Clancy, Katherine (AGU2025, December 15-19, 2025, New Orleans, Louisiana, 2025-12-17)

  Wisconsin relies extensively on groundwater usage for both agricultural production and private use. Under a changing climate, significant precipitation and drought events are becoming more severe. Nitrate (NO3-) has become ...

• GAPDH is Determined to be a Useful Control Antibody for Studying Sickle Cell Disease in Livers 

  Leveille, Rachel (College of Letters and Science, University of Wisconsin-Stevens Point, 2025-05-02)

  Using the Western blot procedure, a reliable control antibody was determined to be GAPDH when studying Sickle Cell Disease (SCD). Three primary antibodies were tested for their consistency in determining protein concentration ...

• Multi-Length Skills with Priors for Reinforcement Learning 

  Jerez, Carlos; Zhang, Jun (ACM, 2025-02-20)

  Leveraging prior experience has been effective in accelerating reinforcement learning (RL). One approach for leveraging prior experience consists of learning skills, which are temporally extended sequences of actions, and ...

• Enhancing Image Restoration through Hybrid VQVAE and Transformer Architectures: A Novel Approach 

  Xue, Yake; Chen, Xia; He, Yinpan (2024-12-20)

  Image restoration is essential for enhancing the quality and utility of degraded images in various applications such as autonomous driving and robotics. Traditional convolutional neural network (CNN) approaches, while ...

• Refining Neural Network with Symbolic Regression 

  Wei, Wei; Lu, Qiang; Huang, Can; Luo, Jake (2025-07-14)

  Classical neural network (NN) compression methods, such as NN pruning and distillation, focus on reducing the NN size. However, these methods often sacrifice accuracy in the process. To address this issue, we propose a ...

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