Howard Bowman

1. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
   2017/11/10 by Tarek R. Besold, Artur d'Avila Garcez, Artur d’Avila Garcez +28 · 1 voice · 67 citations
   Computer Science · #Neural Networks and Applications #Computability, Logic, AI Algorithms #Evolutionary Algorithms and Applications
2. I TRIED A BUNCH OF THINGS: THE DANGERS OF UNEXPECTED OVERFITTING IN CLASSIFICATION
   2016/10/03 by Michael Powell, Mahan Hosseini, John Collins +4 · 1 voice · 3 citations
   Computer Science · Neuroscience · #Adversarial Robustness in Machine Learning #Functional Brain Connectivity Studies #Neural Networks and Applications
3. Branching Time Active Inference: the theory and its generality
   2021/11/22 by Théophile Champion, Lancelot Da Costa, Champion, Théophile +5 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Neuroscience · #Artificial Intelligence (cs.AI) #Embodied and Extended Cognition #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Neural dynamics and brain function
4. Deconstructing deep active inference
   2023/03/02 by Théophile Champion, Marek Grześ, Champion, Théophile +5 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Neural Networks and Applications