Search Results for author:
Found 6 papers, 2 papers with code
Ventilation and Temperature Control for Energy-efficient and Healthy Buildings: A Differentiable PDE Approach
In this paper, we introduce a novel framework for building learning and control, focusing on ventilation and thermal management to enhance energy efficiency.
Physics-Informed Data Denoising for Real-Life Sensing Systems
By obviating the need for ground truth clean data, our method offers a practical denoising solution for real-world applications.
Misusing Tools in Large Language Models With Visual Adversarial Examples
Large Language Models (LLMs) are being enhanced with the ability to use tools and to process multiple modalities.
B2RL: An open-source Dataset for Building Batch Reinforcement Learning
Batch reinforcement learning (BRL) is an emerging research area in the RL community.
Modeling unknown dynamical systems with hidden parameters
We present a data-driven numerical approach for modeling unknown dynamical systems with missing/hidden parameters.
Learning reduced systems via deep neural networks with memory
We then use a set of numerical examples to demonstrate the effectiveness of our method.
