Yield curve shapes and the asymptotic short rate distribution in affine one-factor models. - Martin Keller-Ressel; Thomas Steiner (Finance Stochastics, 2008)

Polynomial processes and their applications to mathematical finance. - Christa Cuchiero; Martin Keller-Ressel; Josef Teichmann (Finance Stochastics, 2012)

Asymptotic and exact pricing of options on variance. - Martin Keller-Ressel; Johannes Muhle-Karbe (Finance Stochastics, 2013)

Convex Order of Discrete, Continuous, and Predictable Quadratic Variation and Applications to Options on Variance. - Claus Griessler; Martin Keller-Ressel (SIAM J. Financial Math., 2014)

Correction to: Yield curve shapes and the asymptotic short rate distribution in affine one-factor models. - Martin Keller-Ressel (Finance Stochastics, 2018)

Implied Volatility in Strict Local Martingale Models. - Antoine Jacquier; Martin Keller-Ressel (SIAM J. Financial Math., 2018)

Hydra: A method for strain-minimizing hyperbolic embedding. - Martin Keller-Ressel; Stephanie Nargang (CoRR, 2019)

Semi-static variance-optimal hedging in stochastic volatility models with Fourier representation. - Paolo Di Tella; Martin Haubold; Martin Keller-Ressel (J. Appl. Probab., 2019)

Hydra: a method for strain-minimizing hyperbolic embedding of network- and distance-based data. - Martin Keller-Ressel; Stephanie Nargang (J. Complex Networks, 2020)

A Theory of Hyperbolic Prototype Learning. - Martin Keller-Ressel (CoRR, 2020)

Hyperbolic Busemann Learning with Ideal Prototypes. - Mina Ghadimi Atigh; Martin Keller-Ressel; Pascal Mettes (NeurIPS, 2021)

Strain-minimizing hyperbolic network embeddings with landmarks. - Martin Keller-Ressel; Stephanie Nargang (J. Complex Networks, 2022)

Emergence of heavy tails in homogenized stochastic gradient descent. - Zhezhe Jiao; Martin Keller-Ressel (NeurIPS, 2024)

Emergence of heavy tails in homogenized stochastic gradient descent. - Zhe Jiao; Martin Keller-Ressel (CoRR, 2024)

Hyperbolic Deep Learning in Computer Vision: A Survey. - Pascal Mettes; Mina Ghadimi Atigh; Martin Keller-Ressel; Jeffrey Gu; Serena Yeung (Int. J. Comput. Vis., 2024)

SimZSL: Zero-Shot Learning Beyond a Pre-defined Semantic Embedding Space. - Mina Ghadimi Atigh; Stephanie Nargang; Martin Keller-Ressel; Pascal Mettes (Int. J. Comput. Vis., 2025)