Paper Stack

Group Meeting paper Stack

Papers suggested by Mingming

• Mask R-CNN

Papers suggested by Sumedha

• On Unifying Deep Generative Models

Papers suggested by Javad

Paper Suggested by Kayhan

• Spatial Transformer Networks
• Discrete Renyi Classifiers
• Deep and Hierarchical Implicit Models
• Implicit Causal Models for Genome-wide Association Studies
• NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
• Attend, Infer, Repeat: Fast Scene Understanding with Generative Models
• Decoupled Neural Interfaces using Synthetic Gradients
• A Linear-Time Kernel Goodness-of-Fit Test

Comparing Distributions and Kernel Methods

• On the Estimation of α-Divergences Click Here
• Testing and Learning on Distributions with Symmetric Noise Invariance Click Here

Domain Transfer

• Learning Transferable Features with Deep Adaptation Networks, Click Here
• Domain-Adversarial Training of Neural Networks, 2014, Click Here

Gaze Project

• Faster gaze prediction with dense networks and Fisher pruning

Causality

Statistical Techniques in GWAS

• Integrating molecular QTL data into genome-wide genetic association analysis: Probabilistic assessment of enrichment and colocalization. PLoS genetics, Click Here
• Efficient integrative multi-SNP association analysis via Deterministic Approximation of Posteriors. The American Journal of Human Genetics, 2016. Click Here
• Multivariate Linear Models for GWAS reterived from: Click Here
• Testing hypotheses on a tree: new error rates and controlling strategies Click Here

Clinical papers on COPD

Misc and Other Resources

• A stack of papers on deep learning and medical imaging Click Here