| In-context impersonation reveals Large Language Models' strengths and biases L Salewski, S Alaniz, I Rio-Torto, E Schulz, Z Akata Advances in neural information processing systems 36, 72044-72057, 2023 | 128 | 2023 |
| Learning decision trees recurrently through communication S Alaniz, D Marcos, B Schiele, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 37* | 2021 |
| Modeling conceptual understanding in image reference games R Corona Rodriguez, S Alaniz, Z Akata Advances in Neural Information Processing Systems 32, 2019 | 35* | 2019 |
| Deep reinforcement learning with model learning and monte carlo tree search in minecraft S Alaniz arXiv preprint arXiv:1803.08456, 2018 | 17 | 2018 |
| Abstracting sketches through simple primitives S Alaniz, M Mancini, A Dutta, D Marcos, Z Akata European Conference on Computer Vision, 396-412, 2022 | 16 | 2022 |
| PDiscoNet: Semantically consistent part discovery for fine-grained recognition R van der Klis, S Alaniz, M Mancini, CF Dantas, D Ienco, Z Akata, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 13 | 2023 |
| Iterative superquadric recomposition of 3d objects from multiple views S Alaniz, M Mancini, Z Akata Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
| Semantic image synthesis with semantically coupled vq-model S Alaniz, T Hummel, Z Akata arXiv preprint arXiv:2209.02536, 2022 | 7 | 2022 |
| How should the advent of large language models affect the practice of science? M Binz, S Alaniz, A Roskies, B Aczel, CT Bergstrom, C Allen, D Schad, ... arXiv preprint arXiv:2312.03759, 2023 | 6 | 2023 |
| Generating post-hoc rationales of deep visual classification decisions Z Akata, LA Hendricks, S Alaniz, T Darrell Explainable and Interpretable Models in Computer Vision and Machine Learning …, 2018 | 6 | 2018 |
| DeViL: Decoding Vision features into Language M Dani, I Rio-Torto, S Alaniz, Z Akata DAGM German Conference on Pattern Recognition, 363-377, 2023 | 3 | 2023 |
| Compositional Mixture Representations for Vision and Text S Alaniz, M Federici, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
| Datadream: Few-shot guided dataset generation JM Kim, J Bader, S Alaniz, C Schmid, Z Akata European Conference on Computer Vision, 252-268, 2025 | 1 | 2025 |
| FLAIR: VLM with Fine-grained Language-informed Image Representations R Xiao, S Kim, MI Georgescu, Z Akata, S Alaniz arXiv preprint arXiv:2412.03561, 2024 | | 2024 |
| COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training S Kim, R Xiao, MI Georgescu, S Alaniz, Z Akata arXiv preprint arXiv:2412.01814, 2024 | | 2024 |
| Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) L Girrbach, Y Huang, S Alaniz, T Darrell, Z Akata arXiv preprint arXiv:2410.19314, 2024 | | 2024 |
| Explainability in deep learning by means of communication S Alaniz Universität Tübingen, 2022 | | 2022 |
| Gender Bias in Vision-Language Assistants L Girrbach, Y Huang, I Rio-Torto, S Alaniz, T Darrell, Z Akata ECCV 2024 Workshop The Dark Side of Generative AIs and Beyond, 0 | | |
| Feasibility with Language Models for Open-World Compositional Zero-Shot Learning JM Kim, S Alaniz, C Schmid, Z Akata | | |
| Supplementary Materials: In-Context Impersonation Reveals Large Language Models’ Strengths and Biases L Salewski, S Alaniz, I Rio-Torto, E Schulz, Z Akata | | |
Zeynep AkataProfessor at TUM and Director at Helmholtz MunichVerified email at helmholtz-munich.de
