Theories of bounded arithmetic for deep inference proof systems Anupam Das ´ Ecole Normale Sup´erieure de Lyon

Source URL: www.anupamdas.com

A NOTE ON PROOFS OF THE PIGEONHOLE PRINCIPLE IN DEEP INFERENCE ANUPAM DAS A BSTRACT. It is known that the functional and onto variants of the propositional pigeonhole principle have polynomial-size proofs in the weakest

Source URL: www.anupamdas.com

Under review as a conference paper at ICLRT RAINING DEEP NEURAL NETWORKS ON NOISY LABELS WITH BOOTSTRAPPING Scott E. Reed & Honglak Lee Dept. of Electrical Engineering and Computer Science, University of Michigan

Source URL: www-personal.umich.edu

• Statistical inference
• Ensemble learning
• Resampling
• Bootstrapping
• Semi-supervised learning
• Supervised learning
• Bootstrap aggregating
• Cross-validation
• Neural network
• Statistics
• Machine learning
• Computational statistics

On the Proof Complexity of Deep Inference Paola Bruscoli and Alessio Guglielmi University of Bath, Bath BA2 7AY, UK

Source URL: tocl.acm.org

From Deep Inference to Proof Nets via Cut Elimination Lutz Straßburger INRIA Saclay–ˆIle-de-France, France http://www.lix.polytechnique.fr/∼ lutz June 24, 2009

Source URL: www.lix.polytechnique.fr

Subatomic Proof Systems Andrea Aler Tubella and Alessio Guglielmi University of Bath The proof theoretic methodology of deep inference [2] yields the widest range of analytic proof systems. In

Source URL: www.cs.bath.ac.uk

Subatomic Proof Systems Andrea Aler Tubella and Alessio Guglielmi University of Bath The proof theoretic methodology of deep inference [2] yields the widest range of analytic proof systems. In

Source URL: cs.bath.ac.uk

Deep Inference Alessio Guglielmi University of Bath 1

Source URL: www.cs.bath.ac.uk

Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Source URL: machinelearning.wustl.edu

Deep Inference Alessio Guglielmi University of Bath 1

Source URL: cs.bath.ac.uk