Danihelka, I.; Lakshminarayanan, B.; Uria, B.; Wierstra, D.; Dayan, P.: Comparison of Maximum Likelihood and GAN-based training of Real NVPs. (eingereicht)

Lohmann, G.; Stelzer, J.; Mueller, K.; Lacosse, E.; Buschmann, T.; Kumar, V.; Grodd, W.; Scheffler, K.: Inflated False Negative Rates Undermine Reproducibility In Task-Based fMRI. (eingereicht)

Guez, A.; Silver, D.; Dayan, P.: Better Optimism By Bayes: Adaptive Planning with Rich Models. (eingereicht)

Tabandeh, N.; Spitschan, M.: Measuring and mapping the daylit world. (2023)

Spitschan, M.: Wie wirkt Licht auf uns Menschen? (2022)

Schulz, E.: Science on film, episode 3: Computational principles of intelligence. (2020)

Mohler, B.: Studying Anorexia Nervosa with VR Self-Avatars: Is Body Image a Matter of Perception or Attitude? (2017)

Mohler, B.: Automated Avatar Stylization to Counter the Uncanny Valley. (2016)