Lurz, Konstantin-Klemens

5 publications

ICLR 2023 Bayesian Oracle for Bounding Information Gain in Neural Encoding Models Konstantin-Klemens Lurz, Mohammad Bashiri, Edgar Y. Walker, Fabian H. Sinz

NeurIPS 2023 Taking the Neural Sampling Code Very Seriously: A Data-Driven Approach for Evaluating Generative Models of the Visual System Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo, George Denfield, Andreas Tolias, Edgar Walker, Fabian H. Sinz

NeurIPSW 2022 Bayesian Oracle for Bounding Information Gain in Neural Encoding Models Konstantin-Klemens Lurz, Mohammad Bashiri, Fabian H. Sinz

NeurIPS 2021 A Flow-Based Latent State Generative Model of Neural Population Responses to Natural Images Mohammad Bashiri, Edgar Walker, Konstantin-Klemens Lurz, Akshay Jagadish, Taliah Muhammad, Zhiwei Ding, Zhuokun Ding, Andreas Tolias, Fabian H. Sinz

ICLR 2021 Generalization in Data-Driven Models of Primary Visual Cortex Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Jagadish, Eric Wang, Edgar Y. Walker, Santiago A Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S Ecker, Fabian H. Sinz