Alan Fern

Bayesian Optimization with Resource Constraints and Production

2016 · Proceedings of the International Conference on Automated Planning and Scheduling

In this paper, we aim to take a step toward a tighter integration of automated planning and Bayesian Optimization (BO). BO is an approach for optimizing costly-to-evaluate functions by selecting a limited number of experiments …

Learning Finite State Representations of Recurrent Policy Networks

2018 · arXiv (Cornell University)

Recurrent neural networks (RNNs) are an effective representation of control policies for a wide range of reinforcement and imitation learning problems. RNN policies, however, are particularly difficult to explain, understand, and analyze due to their …

One Explanation is Not Enough: Structured Attention Graphs for Image\n Classification

2020 · arXiv (Cornell University)

Attention maps are a popular way of explaining the decisions of convolutional\nnetworks for image classification. Typically, for each image of interest, a\nsingle attention map is produced, which assigns weights to pixels based on\ntheir importance to …

Self-attention-based Diffusion Model for Time-series Imputation

2024 · Proceedings of the AAAI Symposium Series

Time-series modeling is essential for applications in agriculture, weather forecasting, food production, and more. However, missing data due to sensor malfunctions, power outages, and human errors is a common issue, complicating the training of machine …