Add to ORKGThe demand for formal verification tools for neural networks has increased as neural networks have been deployed in a growing number of safety-critical applications. Matrices are a data structure essential to formalising neural networks. Functional programming languages encourage diverse approaches to matrix definitions. This feature has already been successfully exploited in different applications. The question we ask is whether, and how, these ideas can be applied in neural network verification. A functional programming language Imandra combines the syntax of a functional programming language and the power of an automated theorem prover. Using these two key features of Imandra, we explore how different implementations of matrices can infl...
Motivation: Though neural networks are extensively used to tackle the problems associated with bioin...
The desire to provide robust guarantees on neural networks has never been more important, as their p...
In this paper I will present a novel way of combining proof net proof search with neural networks. I...
Machine learning models and in particular Deep Neural Networks are being deployed in an ever increas...
Understanding properties of deep neural networks is an important challenge in deep learning. Deep le...
The success of Deep Learning and its potential use in many safety-critical applications has motivate...
Neural Networks (NNs) are popular machine learning models which have found successful application in...
The increasing use of deep neural networks in a variety of applications, including some safety-criti...
The rising popularity of neural networks (NNs) in recent years and their increasing prevalence in re...
The success of Deep Learning and its potential use in many safety-critical applications has motivate...
Neural networks have shown immense promise in solving a variety of challenging problems including co...
Forthcoming autonomous systems are expected to use machine learning techniques to implement their co...
Deep neural networks have achieved great success on many tasks and even surpass human performance in...
Machine Learning techniques, Neural Networks in particular,are going through an impressive expansion...
Introductory accounts of artificial neural networks often rely for motivation on analogies with mode...
Motivation: Though neural networks are extensively used to tackle the problems associated with bioin...
The desire to provide robust guarantees on neural networks has never been more important, as their p...
In this paper I will present a novel way of combining proof net proof search with neural networks. I...
Machine learning models and in particular Deep Neural Networks are being deployed in an ever increas...
Understanding properties of deep neural networks is an important challenge in deep learning. Deep le...
The success of Deep Learning and its potential use in many safety-critical applications has motivate...
Neural Networks (NNs) are popular machine learning models which have found successful application in...
The increasing use of deep neural networks in a variety of applications, including some safety-criti...
The rising popularity of neural networks (NNs) in recent years and their increasing prevalence in re...
The success of Deep Learning and its potential use in many safety-critical applications has motivate...
Neural networks have shown immense promise in solving a variety of challenging problems including co...
Forthcoming autonomous systems are expected to use machine learning techniques to implement their co...
Deep neural networks have achieved great success on many tasks and even surpass human performance in...
Machine Learning techniques, Neural Networks in particular,are going through an impressive expansion...
Introductory accounts of artificial neural networks often rely for motivation on analogies with mode...
Motivation: Though neural networks are extensively used to tackle the problems associated with bioin...
The desire to provide robust guarantees on neural networks has never been more important, as their p...
In this paper I will present a novel way of combining proof net proof search with neural networks. I...