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17 Results

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Poster
Tue 18:30 NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
Fei Xia · Martin J Zhang · James Zou · David Tse
Poster
Wed 18:30 Spherical convolutions and their application in molecular modelling
Wouter Boomsma · Jes Frellsen
Poster
Tue 18:30 Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
Seunghyun Park · Seonwoo Min · Hyun-Soo Choi · Sungroh Yoon
Poster
Mon 18:30 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin
Ritambhara Singh · Jack Lanchantin · Arshdeep Sekhon · Yanjun Qi
Poster
Wed 18:30 Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
John T Halloran · David M Rocke
Poster
Mon 18:30 Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data
Stéphanie ALLASSONNIERE · Juliette Chevallier · Stephane Oudard
Poster
Mon 18:30 Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs
Saurabh Verma · Zhi-Li Zhang
Poster
Mon 18:30 Maximum Margin Interval Trees
Alexandre Drouin · Toby Hocking · Francois Laviolette
Poster
Tue 18:30 Robust Estimation of Neural Signals in Calcium Imaging
Hakan Inan · Murat Erdogdu · Mark Schnitzer
Poster
Tue 18:30 Clustering Billions of Reads for DNA Data Storage
Cyrus Rashtchian · Konstantin Makarychev · Miklos Racz · Siena Ang · Djordje Jevdjic · Sergey Yekhanin · Luis Ceze · Karin Strauss
Poster
Wed 18:30 Permutation-based Causal Inference Algorithms with Interventions
Yuhao Wang · Liam Solus · Karren Yang · Caroline Uhler
Poster
Mon 18:30 Protein Interface Prediction using Graph Convolutional Networks
Alex Fout · Jonathon Byrd · Basir Shariat · Asa Ben-Hur