Penny Liang: Understanding Large Models for Humanities Students (1.0)

Penny Liang's book, "Understanding Large Models for Humanities Students (1.0)," explains the core technologies of large ...

Machine Learning Enhances Quantum Physics: Revealing Hidden Dynamics in Bose Gases

Overall, the application of the Variational Autoencoder not only enhances the analytical capabilities of quantum simulations but also offers new perspectives for understanding the physical properties ...
T&D World

Sandia National Laboratories’ Research Team Develop AI Algorithms to Detect Physical Issues, Cyberattacks within Grid

Sandia National Laboratories cybersecurity expert Adrian Chavez, left, and computer scientist Logan Blakely work to integrate ...
EurekAlert!

Zhu harnessing interpretable neuro-symbolic learning for reliable ranking

Ziwei Zhu, Assistant Professor, Computer Science, College of Engineering and Computing (CEC), received funding for the project: “III: Small: Harnessing Interpretable Neuro-Symbolic Learning for ...
Southern Living

35 Easy Breakfasts Fit For A Crowd

Jenna is a Senior Digital Editor for Southern Living and joined the team in 2014. She writes, produces, and assigns content with a focus on email growth and commerce content. She covers a range of ...
IEEE

Autoencoder-Based Approaches for Upper Limb Use Detection

Abstract: Feature extraction is an essential step in traditional machine learning approaches for detecting upper limb use employing movement data from inertial measurement units. However, manual ...
GitHub

Neural Wavelet Packet-Based Bidirectional Autoencoder for Multi-Resolution Speech Enhancement

Table 1. Comparison of NWPA with state-of-the-art models on the VoiceBank-DEMAND dataset. Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any ...
Scientific Research Publishing

Faysal, A., Boushine, T., Rostami, M., Roshan, R.G., Wang, H., Muralidhar, N., Sa-hoo, A. and Yao, Y.D. (2025) Denomae: A Multimodal Autoencoder for Denoising Modulation ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...
ascopubs.org

A transfer-learned hierarchical variational autoencoder model for computational design of anticancer peptides.

Recent advances in feature selection methods for breast cancer recurrence prediction: A systematic review. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
IEEE

Rethinking Masked Autoencoder for Salient Object Detection in Optical Remote Sensing Images From a Pseudo Image Pretraining Perspective

Abstract: Recently masked autoencoder (MAE) has achieved great success in visual representation learning and delivered promising potential in many downstream vision tasks. However, due to the lack of ...
GitHub

MAISI mask autoencoder #1977

Thanks for your great work with MAISI. The mask_generation_autoencoder has 8 input channels. What is the kind of data that is required as input? Would you have an example on how to use the mask ...