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Multi-timescale representation learning in LSTM Language Models., , , and . CoRR, (2020)A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis., , , , , , , and . CoRR, (2016)A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between., , , , and . CoRR, (2019)A semi-supervised method for multi-subject FMRI functional alignment., , , and . ICASSP, page 1098-1102. IEEE, (2017)Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation., , , and . ICASSP, page 793-797. IEEE, (2015)A Multilevel Framework for Sparse Optimization with Application to Inverse Covariance Estimation and Logistic Regression., , and . SIAM J. Sci. Comput., (2016)Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging., , , , , , and . CoRR, (2018)A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation., , , , , , , and . CoRR, (2016)Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay., , , , , and . CoRR, (2021)Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech., , , , , and . NeurIPS, (2020)