Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden. A Robust Pose Transformational GAN for Pose Guided Person Image Synthesis. A diffusion approach to Stein’s method on Riemannian manifolds. Smoothness and Stability in GANs. Best Principal Submatrix Selection …

On the regularity and conditioning of low rank semidefinite programs. Finiteness of fibers in matrix completion via Plücker coordinates. Optimal Adaptive Matrix Completion. Convolutional Hierarchical Attention Network for Query-Focused Video Summarization. High Performance Sequence-to-Sequence Model for Streaming Speech Recognition. Style Transfer …

BUSU-Net: An Ensemble U-Net Framework for Medical Image Segmentation. Accelerator-aware Neural Network Design using AutoML. Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator. Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems. Vulnerabilities of Connectionist AI Applica …

Leveraging Prior Knowledge for Protein-Protein Interaction Extraction with Memory Network. From Patterson Maps to Atomic Coordinates: Training a Deep Neural Network to Solve the Phase Problem for a Simplified Case. Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research. Unsupervised …

AMR Similarity Metrics from Principles. Semantic Sensitive TF-IDF to Determine Word Relevance in Documents. Multi-label Prediction in Time Series Data using Deep Neural Networks. HumBug Zooniverse: a crowd-sourced acoustic mosquito dataset. Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification. Accelerating RNN Transduc …

Negative Statements Considered Useful. Towards Identifying and closing Gaps in Assurance of autonomous Road vehicleS – a collection of Technical Notes Part 1. Investigating the Compositional Structure Of Deep Neural Networks. Proceedings of Symposium on Data Mining Applications 2014. Convergence of Recursive Stochastic Algorithms using Wasserstein …

Relational State-Space Model for Stochastic Multi-Object Systems. Knowledge Representations in Technical Systems – A Taxonomy. Understanding Crowd Flow Movements Using Active-Langevin Model. Affinity guided Geometric Semi-Supervised Metric Learning. Advances in Collaborative Filtering and Ranking. Recognizing Handwritten Mathematical Expressions a …

A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations. Learning Optimal Classification Trees: Strong Max-Flow Formulations. Deep RBF Value Functions for Continuous Control. A Graph-Based Platform …

BOOSTING ENCODER-DECODER CNN FOR INVERSE PROBLEMS. On Layer Normalization in the Transformer Architecture. Learning RNNs with Commutative State Transitions. Active Learning Graph Neural Networks via Node Feature Propagation. JAUNE: Justified And Unified Neural language Evaluation. Differential Privacy in Adversarial Learning with Provable Robustnes …