Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks M Rußwurm, K Klemmer, E Rolf, R Zbinden, D Tuia ICLR 2024, 2023 | 5 | 2023 |
Implementing and Experimenting with Diffusion Models for Text-to-Image Generation R Zbinden arXiv preprint arXiv:2209.10948, 2022 | 3 | 2022 |
A User Study of Perceived Carbon Footprint V Kristof, V Quelquejay-Leclère, R Zbinden, L Maystre, M Grossglauser, ... NeurIPS 2019 Workshop: Tackling Climate Change with Machine Learning, 2019 | 2 | 2019 |
Imbalance-aware Presence-only Loss Function for Species Distribution Modeling R Zbinden, N van Tiel, M Rußwurm, D Tuia ICLR 2024 Workshop: Tackling Climate Change with Machine Learning, 2024 | | 2024 |
On the Selection and Effectiveness of Pseudo-Absences for Species Distribution Modeling with Deep Learning R Zbinden, N van Tiel, B Kellenberger, L Hughes, D Tuia | | 2024 |
Exploring the potential of neural networks for Species Distribution Modeling R Zbinden, N van Tiel, B Kellenberger, L Hughes, D Tuia ICLR 2023 Workshop: Tackling Climate Change with Machine Learning, 2023 | | 2023 |
COBRA: Enhancing DNN Latency Prediction with Language Models trained on Source Code R Zbinden, L Mauch, F Cardinaux ICLR 2022 Workshop: Deep Learning for Code, 2022 | | 2022 |
Measuring and Shaping the Nutritional Environment via Food Sales Logs: Case Studies of Campus-Wide Food Choice and a Call to Action K Gligorić, R Zbinden, A Chiolero, E Kiciman, RW White, E Horvitz, ... Frontiers in Nutrition 11, 1231070, 0 | | |