In these lecture notes, we survey the landscape of Calabi-Yau threefolds, and the use of machine learning to explore it. We begin with the compact portion of the landscape, focusing in particular on complete intersection Calabi-Yau varieties (CICYs) and elliptic fibrations. Non-compact Calabi-Yau manifolds are manifest in Type II superstring theories, they arise as representation varieties of quivers, used to describe gauge theories in the bulk familiar four dimensions. Finally, given the huge amount of Calabi-Yau data, whether and how machine learning can be applied to algebraic geometry and string landscape is also discussed. These notes are directed to the beginning graduate student interested in mathematics and in physics, and are based...
International audienceWe review advancements in deep learning techniques for complete intersection C...
Abstract We utilize machine learning to study the string landscape. Deep data dives and conjecture g...
We present a novel way to classify Calabi-Yau threefolds by systematically studying their infinite v...
I will describe a large scale study of Calabi-Yau hypersurfaces in toric varieties. We construct lar...
International audienceWe describe the recent developments in using machine learning techniques to co...
With a bird’s-eye view, we survey the landscape of Calabi-Yau threefolds, compact and non-compact, s...
This volume presents a lively introduction to the rapidly developing and vast research areas surroun...
With a bird’s-eye view, we survey the landscape of Calabi-Yau threefolds, compact and non-compact, s...
The goal of this thesis is to review and investigate recent applications of machine learning to prob...
We use machine learning to approximate Calabi-Yau and SU(3)-structure metrics, including for the fir...
The latest techniques from Neural Networks and Support Vector Machines (SVM) are used to investigate...
We study aspects of the geometry and physics of type II string theory compactification on Calabi-Ya...
In this paper, we briefly overview how, historically, string theory led theoretical physics first to...
We continue earlier efforts in computing the dimensions of tangent space cohomologies of Calabi-Yau ...
We employ machine learning techniques to investigate the volume minimum of Sasaki-Einstein base mani...
International audienceWe review advancements in deep learning techniques for complete intersection C...
Abstract We utilize machine learning to study the string landscape. Deep data dives and conjecture g...
We present a novel way to classify Calabi-Yau threefolds by systematically studying their infinite v...
I will describe a large scale study of Calabi-Yau hypersurfaces in toric varieties. We construct lar...
International audienceWe describe the recent developments in using machine learning techniques to co...
With a bird’s-eye view, we survey the landscape of Calabi-Yau threefolds, compact and non-compact, s...
This volume presents a lively introduction to the rapidly developing and vast research areas surroun...
With a bird’s-eye view, we survey the landscape of Calabi-Yau threefolds, compact and non-compact, s...
The goal of this thesis is to review and investigate recent applications of machine learning to prob...
We use machine learning to approximate Calabi-Yau and SU(3)-structure metrics, including for the fir...
The latest techniques from Neural Networks and Support Vector Machines (SVM) are used to investigate...
We study aspects of the geometry and physics of type II string theory compactification on Calabi-Ya...
In this paper, we briefly overview how, historically, string theory led theoretical physics first to...
We continue earlier efforts in computing the dimensions of tangent space cohomologies of Calabi-Yau ...
We employ machine learning techniques to investigate the volume minimum of Sasaki-Einstein base mani...
International audienceWe review advancements in deep learning techniques for complete intersection C...
Abstract We utilize machine learning to study the string landscape. Deep data dives and conjecture g...
We present a novel way to classify Calabi-Yau threefolds by systematically studying their infinite v...