Search Results for author: Thomas Lu

Found 15 papers, 4 papers with code

Learned Incremental Representations for Parsing

1 code implementation ACL 2022 Nikita Kitaev, Thomas Lu, Dan Klein

We present an incremental syntactic representation that consists of assigning a single discrete label to each word in a sentence, where the label is predicted using strictly incremental processing of a prefix of the sentence, and the sequence of labels for a sentence fully determines a parse tree.

CiwaGAN: Articulatory information exchange

1 code implementation14 Sep 2023 Gašper Beguš, Thomas Lu, Alan Zhou, Peter Wu, Gopala K. Anumanchipalli

This paper introduces CiwaGAN, a model of human spoken language acquisition that combines unsupervised articulatory modeling with an unsupervised model of information exchange through the auditory modality.

Language Acquisition

AI-assisted coding: Experiments with GPT-4

1 code implementation25 Apr 2023 Russell A Poldrack, Thomas Lu, Gašper Beguš

We report several experiments using GPT-4 to generate computer code.

Code Generation

Device Image-IV Mapping using Variational Autoencoder for Inverse Design and Forward Prediction

no code implementations3 Apr 2023 Thomas Lu, Albert Lu, Hiu Yung Wong

Since manifold learning is used, the machine is shown to be robust against noise in the inputs (i. e. using hand-drawn images and noisy IDVG curves) and not confused by weak and irrelevant independent variables.

Remote estimation of geologic composition using interferometric synthetic-aperture radar in California's Central Valley

no code implementations4 Dec 2022 Kyongsik Yun, Kyra Adams, John Reager, Zhen Liu, Caitlyn Chavez, Michael Turmon, Thomas Lu

We also achieved significant accuracy with 1/4 sparse sampling to reduce any spatial correlations among data, suggesting that the model has the potential to be generalized to other regions for indirect estimation of geologic composition.

Neurosymbolic hybrid approach to driver collision warning

no code implementations28 Mar 2022 Kyongsik Yun, Thomas Lu, Alexander Huyen, Patrick Hammer, Pei Wang

(2) A mediated hybrid recognition system in which a system is created by combining independent modules that detect each semantic feature.

Autonomous Driving Image Classification +3

Explainability Tools Enabling Deep Learning in Future In-Situ Real-Time Planetary Explorations

no code implementations15 Jan 2022 Daniel Lundstrom, Alexander Huyen, Arya Mevada, Kyongsik Yun, Thomas Lu

It provides a set of explainability tools (ET) that opens the black box of a DNN so that the individual contribution of neurons to category classification can be ranked and visualized.

Image Segmentation Object Recognition +1

Deep Neural Networks for Pattern Recognition

no code implementations25 Sep 2018 Kyongsik Yun, Alexander Huyen, Thomas Lu

In the field of pattern recognition research, the method of using deep neural networks based on improved computing hardware recently attracted attention because of their superior accuracy compared to conventional methods.

General Classification Image Classification +2

Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks

no code implementations20 Apr 2018 Kyongsik Yun, Thomas Lu, Edward Chow

We used a deep learning based on conditional generative adversarial networks to train associations between the various images of flammable and hazardous objects and their partially occluded counterparts.

Object Reconstruction

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