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04/11/2023
Habits and goals in synergy: a variational Bayesian framework for behavior
How to behave efficiently and flexibly is a central problem for understa...
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11/08/2021
threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
Host-based threats such as Program Attack, Malware Implantation, and Adv...
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09/23/2021
DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications
Unsupervised Deep Learning (DL) techniques have been widely used in vari...
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06/18/2021
Goal-Directed Planning by Reinforcement Learning and Active Inference
What is the difference between goal-directed and habitual behavior? We p...
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02/18/2021
Learning Memory-Dependent Continuous Control from Demonstrations
Efficient exploration has presented a long-standing challenge in reinfor...
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10/23/2020
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks
Feedforward networks (FFN) are ubiquitous structures in neural systems a...
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05/15/2020
Practical Traffic-space Adversarial Attacks on Learning-based NIDSs
Machine learning (ML) techniques have been increasingly used in anomaly-...
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12/23/2019
Variational Recurrent Models for Solving Partially Observable Control Tasks
In partially observable (PO) environments, deep reinforcement learning (...
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06/18/2019
Gap-Increasing Policy Evaluation for Efficient and Noise-Tolerant Reinforcement Learning
In real-world applications of reinforcement learning (RL), noise from in...
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01/29/2019