| Flamingo: a visual language model for few-shot learning JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ... arXiv preprint arXiv:2204.14198, 2022 | 277 | 2022 |
| Learning to drive using inverse reinforcement learning and deep q-networks S Sharifzadeh, I Chiotellis, R Triebel, D Cremers Advances in Neural Information Processing Systems 29 (NeurIPS 2016 …, 2016 | 99 | 2016 |
| PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings M Ali, M Berrendorf, CT Hoyt, L Vermue, S Sharifzadeh, V Tresp, ... Journal of Machine Learning Research 22 (82), 1-6, 2021 | 92 | 2021 |
| Bringing light into the dark: A large-scale evaluation of knowledge graph embedding models under a unified framework M Ali, M Berrendorf, CT Hoyt, L Vermue, M Galkin, S Sharifzadeh, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 65 | 2021 |
| Classification by attention: Scene graph classification with prior knowledge S Sharifzadeh, SM Baharlou, V Tresp Proceedings of the AAAI Conference on Artificial Intelligence 35, 5025--5033, 2021 | 30 | 2021 |
| An unsupervised joint system for text generation from knowledge graphs and semantic parsing M Schmitt, S Sharifzadeh, V Tresp, H Schütze Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 28 | 2020 |
| Automatic image‐based determination of pruning mass as a determinant for yield potential in grapevine management and breeding A Kicherer, M Klodt, S Sharifzadeh, D Cremers, R Töpfer, K Herzog Australian Journal of Grape and Wine Research 23 (1), 120-124, 2016 | 26 | 2016 |
| Improving Visual Relation Detection using Depth Maps S Sharifzadeh, S Baharlou, M Berrendorf, R Koner, V Tresp 2020 25th International Conference on Pattern Recognition, 2020 | 14 | 2020 |
| Relationformer: A unified framework for image-to-graph generation S Shit, R Koner, B Wittmann, J Paetzold, I Ezhov, H Li, J Pan, ... ECCV, 2022 | 8 | 2022 |
| A Model for Perception and Memory V Tresp, S Sharifzadeh, D Konopatzki Conference on Cognitive Computational Neuroscience (CCN), 2019 | 6 | 2019 |
| The tensor brain: Semantic decoding for perception and memory V Tresp, S Sharifzadeh, D Konopatzki, Y Ma arXiv preprint arXiv:2001.11027, 2020 | 5 | 2020 |
| Improving Scene Graph Classification by Exploiting Knowledge from Texts S Sharifzadeh, SM Baharlou, M Schmitt, H Schütze, V Tresp Proceedings of the AAAI Conference on Artificial Intelligence 36, 2022 | 4* | 2022 |
| A highly accurate platform for clone-specific mutation discovery enables the study of active mutational processes M KaramiNejadRanjbar, S Sharifzadeh, NC Wietek, M Artibani, ... Elife 9, 2020 | 4 | 2020 |
| RobX–AUTCUP 2012 & Khwarizmi Robotic Competition@ Home League Team Description Paper A Keipour, S Sharifzadeh, E Babaians, F Taherpour, A Malekpour, ... AUTCUP, 2012 | 2 | 2012 |
| Ultra-High-Resolution Detector Simulation with Intra-Event Aware GAN and Self-Supervised Relational Reasoning H Hashemi, N Hartmann, S Sharifzadeh, J Kahn, T Kuhr arXiv preprint arXiv:2303.08046, 2023 | | 2023 |
| The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding V Tresp, S Sharifzadeh, H Li, D Konopatzki, Y Ma Neural Computation 35 (2), 156-227, 2023 | | 2023 |
| Do DALL-E and Flamingo Understand Each Other? H Li, J Gu, R Koner, S Sharifzadeh, V Tresp arXiv preprint arXiv:2212.12249, 2022 | | 2022 |
| PourNet: Robust Robotic Pouring Through Curriculum and Curiosity-based Reinforcement Learning E Babaians, T Sharma, M Karimi, S Sharifzadeh, E Steinbach 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | | 2022 |
| InstanceFormer: An Online Video Instance Segmentation Framework R Koner, T Hannan, S Shit, S Sharifzadeh, M Schubert, T Seidl, V Tresp arXiv preprint arXiv:2208.10547, 2022 | | 2022 |
| The Tensor Brain Hypothesis V Tresp, S Sharifzadeh, D Konopatzki Computational Cognition (ComCo), 2019 | | 2019 |
Volker TrespLudwig Maximilian University of Munich / München (LMU) and Siemens AGVerified email at dbs.ifi.lmu.de
