Search Results for author: Benjamin Smith

Found 7 papers, 1 papers with code

Automorphisms and isogeny graphs of abelian varieties, with applications to the superspecial Richelot isogeny graph

no code implementations4 Jan 2021 Enric Florit, Benjamin Smith

We investigate special structures due to automorphisms in isogeny graphs of principally polarized abelian varieties, and abelian surfaces in particular.

Cryptography and Security Number Theory

An atlas of the Richelot isogeny graph

no code implementations4 Jan 2021 Enric Florit, Benjamin Smith

We describe and illustrate the local neighbourhoods of vertices and edges in the (2, 2)-isogeny graph of principally polarized abelian surfaces, considering the action of automorphisms.

Number Theory

Ship Detection: Parameter Server Variant

no code implementations2 Dec 2020 Benjamin Smith

We demonstrate how a custom U-Net can achieve 92\% class accuracy over a validation dataset and 68\% over a target dataset with 90\% confidence.

Efficient Scene Compression for Visual-based Localization

1 code implementation27 Nov 2020 Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso

Estimating the pose of a camera with respect to a 3D reconstruction or scene representation is a crucial step for many mixed reality and robotics applications.

3D Reconstruction Mixed Reality

Bridging Scene Understanding and Task Execution with Flexible Simulation Environments

no code implementations20 Nov 2020 Zachary Ravichandran, J. Daniel Griffith, Benjamin Smith, Costas Frost

Significant progress has been made in scene understanding which seeks to build 3D, metric and object-oriented representations of the world.

Graph Generation reinforcement-learning +4

Anomaly Detection with SDAE

no code implementations9 Apr 2020 Benjamin Smith, Kevin Cant, Gloria Wang

Anomaly detection is a prominent data preprocessing step in learning applications for correction and/or removal of faulty data.

Anomaly Detection

Small-time, large-time and $H\to 0$ asymptotics for the Rough Heston model

no code implementations21 Jun 2019 Martin Forde, Stefan Gerhold, Benjamin Smith

Finally, using L\'{e}vy's convergence theorem, we show that the log stock price $X_t$ tends weakly to a non-symmetric random variable $X^{(1/2)}_t$ as $\alpha \to 1/2$ (i. e. $H\to 0$) whose mgf is also the solution to the Rough Heston VIE with $\alpha=1/2$, and we show that $X^{(1/2)}_t/\sqrt{t}$ tends weakly to a non-symmetric random variable as $t\to 0$, which leads to a non-flat non-symmetric asymptotic smile in the Edgeworth regime.

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