02.10.19 Artificial Intelligence papers

02-06-2019	Distilling Policy Distillation by Wojciech Marian Czarnecki et al
02-08-2019	Beyond Least-Squares: Fast Rates for Regularized Empirical Risk Minimization through Self-Concordance by Ulysse Marteau-Ferey et al
02-07-2019	Agent-Based Adaptive Level Generation for Dynamic Difficulty Adjustment in Angry Birds by Matthew Stephenson et al
02-06-2019	Distributed Synthesis of Surveillance Strategies for Mobile Sensors by Suda Bharadwaj et al
02-06-2019	Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples? by Nicholas Carlini
02-06-2019	The role of a layer in deep neural networks: a Gaussian Process perspective by Oded Ben-David et al
02-07-2019	The Actor-Advisor: Policy Gradient With Off-Policy Advice by Hélène Plisnier et al
02-06-2019	Neural-Network Guided Expression Transformation by Romain Edelmann et al
02-08-2019	Understanding The Impact of Partner Choice on Cooperation and Social Norms by means of Multi-agent Reinforcement Learning by Nicolas Anastassacos et al
02-07-2019	Deeper & Sparser Exploration by Divya Grover et al
02-06-2019	Global Explanations of Neural Networks: Mapping the Landscape of Predictions by Mark Ibrahim et al
02-06-2019	CESMA: Centralized Expert Supervises Multi-Agents by Alex Tong Lin et al
02-06-2019	Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling by Hao Wang et al
02-06-2019	The FA Quantifier Fuzzification Mechanism: analysis of convergence and efficient implementations by Félix Díaz-Hermida et al
02-06-2019	Fooling Neural Network Interpretations via Adversarial Model Manipulation by Juyeon Heo et al
02-08-2019	Bounded Fuzzy Possibilistic Method by Hossein Yazdani
02-06-2019	Augmenting Learning Components for Safety in Resource Constrained Autonomous Robots by Shreyas Ramakrishna et al
02-08-2019	Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance by Ethan C. Jackson et al
02-07-2019	A Simple Baseline for Bayesian Uncertainty in Deep Learning by Wesley Maddox et al
02-07-2019	Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach by Xilei Zhao et al
02-06-2019	Investigating RNN Memory using Neuro-Evolution: Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution by Alexander Ororbia et al
02-07-2019	Visual search and recognition for robot task execution and monitoring by Lorenzo Mauro et al
02-07-2019	Deep execution monitor for robot assistive tasks by Lorenzo Mauro et al
02-06-2019	Toward A Neuro-inspired Creative Decoder by Payel Das et al
02-06-2019	A Guiding Principle for Causal Decision Problems by M. Gonzalez-Soto et al
02-06-2019	Effectiveness of LSTMs in Predicting Congestive Heart Failure Onset by Sunil Mallya et al
02-07-2019	The Long and the Short of It: Summarising Event Sequences with Serial Episodes by Nikolaj Tatti et al
02-07-2019	Expressive mechanisms for equitable rent division on a budget by Rodrigo A. Velez
02-07-2019	Source Traces for Temporal Difference Learning by Silviu Pitis
02-08-2019	BINet: Multi-perspective Business Process Anomaly Classification by Timo Nolle et al
02-07-2019	Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach by Silviu Pitis
02-06-2019	Latent Space Cartography: Generalised Metric-Inspired Measures and Measure-Based Transformations for Generative Models by Max F. Frenzel et al