Publikationen von SS Nath

Nath, S.; Modirshanechi, A.; Dayan, P.: A Compositional Model of Semantic Fluency. 9th Conference on Cognitive Computational Neuroscience (CCN 2026), New York, NY, USA (2026)

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Spatial complexity and intricacy predict subjective complexity. The Visual Science of Art Conference (VSAC 2022), Amsterdam, The Netherlands (2022)

Nath, S.; Pachur, T.: The Affect Gap in Risky Choice with Positive Outcomes. Subjective Probability Utility & Decision Making Conference (SPUDM 2021), Warwick, UK (2021)

Nath, S.: Fun Meets Aesthetics: Modelling Human Curiosity and Creativity. Master (2022)

Binz, M.; Akata, E.; Almaatouq, A.; Alsobay, M.; Ariasov, O.; Brändle, F.; Broska, D.; Burton, J.; Busch, N.; Callaway, F. et al.; Cheung, V.; Christian, B.; Coda-Forno, J.; Demircan, C.; Dentella, V.; Eckstein, M.; Éltetö, N.; Franke, M.; Griffiths, T.; Günther, F.; Haridi, S.; Hellmann, S.; Herytash, S.; Hof, L.; Holton, E.; Hoxha, I.; Hussain, Z.; Jagadish, A.; Kara, E.; Kriegmair, V.; Leivada, E.; Ji-An, L.; Ludwig, T.; Maier, M.; Mattar, M.; Mathony, M.; Modirshanechi, A.; Na, R.; Nadverniuk, M.; Nasioulas, A.; Nath, S.; Niemeyer, H.; Nussenbaum, K.; Olschewski, S.; Pachur, T.; Palminteri, S.; Petrenco, A.; Phaneuf-Hadd, C.; Pirrone, A.; Rausch, M.; Raveling, L.; Reddy, S.; Rmus, M.; Russek, E.; Saanum, T.; Sandbrink, K.; Schiekiera, L.; Schubert, J.; Schulze Buschoff, L.; Singhi, N.; Somerville, L.; Spektor, M.; Sui, X.; Summerfield, C.; Thalmann, M.; Thoma, A.; Tikhomirova, T.; Truong, V.; Tsvilodub, P.; Voudouris, K.; Wilson, R.; Witte, K.; Wu, S.; Wulff, D.; Xiong, H.-D.; Xu, S.; Ying, L.; Zhang, X.; Zhu, J.-Q.; Schulz, E.: Post-training makes large language models less human-like. (eingereicht)

Nath, S.; Jayawardana, V.; Van, M.; Klenk, M.; Hakimi, S.: Designing Rewards for Rewarding Designs: Demonstrating the Impact of Rewards on the Creative Design Process. (eingereicht)

Sarıtaş, K.; Shen, T.; Nath, S.; Dayan, P.: A Data-Centric Approach: Dimensions of Visual Complexity and How to find Them. (eingereicht)