Brian Hutchinson

发表

Dong Yu, Li Deng, Brian Hutchinson, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition

Dong Yu, Li Deng, Brian Hutchinson, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning Phrase Patterns for Text Classification

Mari Ostendorf, Alex Marin, Brian Hutchinson, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Annotating Social Acts: Authority Claims and Alignment Moves in Wikipedia Talk Pages

Jonathan T. Morgan, Mari Ostendorf, Brian Hutchinson, 2011 .

Low Rank Language Models for Small Training Sets

Mari Ostendorf, Brian Hutchinson, Maryam Fazel, 2011, IEEE Signal Processing Letters.

Exceptions in language as learned by the multi-factor sparse plus low-rank language model

Mari Ostendorf, Brian Hutchinson, Maryam Fazel, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Technical note: Deep learning for creating surrogate models of precipitation in Earth system models

B. Kravitz, Brian Hutchinson, R. Link, 2019, Atmospheric Chemistry and Physics.

SWRL Net: A Spectral, Residual Deep Learning Model for Improving Short-Term Wave Forecasts

Brian Hutchinson, John C. Mooneyham, S. Crosby, 2020, Weather and Forecasting.

Untangling the Galaxy. III. Photometric Search for Pre-main-sequence Stars with Deep Learning

K. Covey, Brian Hutchinson, M. Kounkel, 2020, The Astronomical Journal.

Low Rank Smoothed Sampling Methods for Identifying Impactful Pairwise Mutations

Brian Hutchinson, F. Jagodzinski, T. Islam, 2018, BCB.

Protein Mutation Stability Ternary Classification using Neural Networks and Rigidity Analysis

Brian Hutchinson, F. Jagodzinski, R. Olney, 2018, 1803.04659.

Loosely Conditioned Emulation of Global Climate Models With Generative Adversarial Networks pdf

Brian Hutchinson, Ben Kravitz, Claudia Tebaldi, 2021, ArXiv.

Rank and sparsity in language processing

Mari Ostendorf, Brian Hutchinson, Maryam Fazel, 2013 .

A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios

Mari Ostendorf, Brian Hutchinson, Maryam Fazel, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

APOGEE Net: Improving the Derived Spectral Parameters for Young Stars through Deep Learning

Matthew T. Scoggins, K. Covey, K. Stassun, 2020, The Astronomical Journal.

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

Andy Brown, Brian Hutchinson, Nicole Nichols, 2018, Proceedings of the First Workshop on Machine Learning for Computing Systems.

Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams pdf

Brian Hutchinson, Nicole Nichols, Aaron Tuor, 2017, AAAI Workshops.

Metric-Based Few-Shot Learning for Video Action Recognition pdf

Brian Hutchinson, Lawrence Phillips, Chris Careaga, 2019, ArXiv.

Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers

Brenda Praggastis, Andrew August, Brian Hutchinson, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Parallel Training for Deep Stacking Networks

Dong Yu, Li Deng, Brian Hutchinson, 2012, INTERSPEECH.

Sequence-to-sequence neural networks for short-term electrical load forecasting in commercial office buildings

Elliott Skomski, Vikas Chandan, Srinivas Katipamula, 2020 .

Predicting the Effect of Single and Multiple Mutations on Protein Structural Stability

Brian Hutchinson, Nurit Haspel, Roshanak Farhoodi, 2018, Molecules.

Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection pdf

Brian Hutchinson, Nicole Nichols, Robert Jasper, 2017, AAAI Workshops.

DeepClimGAN: A High-Resolution Climate Data Generator pdf

Abigail Snyder, Ben Kravitz, Brian Hutchinson, 2020, ArXiv.

Deep Learning Approaches to Chemical Property Prediction from Brewing Recipes

Ellyn Ayton, Brian Hutchinson, Gracie Ermi, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Multiclass Support Vector Machines for Articulatory Feature Classification

Brian Hutchinson, Jianna Zhang, Brian Hutchinson, 2006, AAAI.