Flamingo: a visual language model for few-shot learning JB Alayrac, J Donahue, P Luc, A Miech, I Barr, Y Hasson, K Lenc, ...
Advances in neural information processing systems 35, 23716-23736, 2022
3846 2022 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
230 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
170 2021 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
131 2016 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
61 2022 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
61 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
47 2020 Ultra-high-granularity detector simulation with intra-event aware generative adversarial network and self-supervised relational reasoning B Hashemi, N Hartmann, S Sharifzadeh, J Kahn, T Kuhr
Nature Communications 15 (1), 4916, 2024
44 * 2024 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
34 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
29 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
20 2022 Instanceformer: An online video instance segmentation framework R Koner, T Hannan, S Shit, S Sharifzadeh, M Schubert, T Seidl, V Tresp
Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1188-1195, 2023
16 2023 Do dall-e and flamingo understand each other? H Li, J Gu, R Koner, S Sharifzadeh, V Tresp
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12 2023 Synth S Sharifzadeh, C Kaplanis, S Pathak, D Kumaran, A Ilic, J Mitrovic, ...
arXiv preprint arXiv:2403.07750, 2024
10 2024 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
9 2022 Memegraphs: Linking memes to knowledge graphs V Kougia, S Fetzel, T Kirchmair, E Çano, SM Baharlou, S Sharifzadeh, ...
International Conference on Document Analysis and Recognition, 534-551, 2023
8 2023 The tensor brain: Semantic decoding for perception and memory V Tresp, S Sharifzadeh, D Konopatzki, Y Ma
arXiv preprint arXiv:2001.11027, 2020
8 2020 A Model for Perception and Memory V Tresp, S Sharifzadeh, D Konopatzki
Conference on Cognitive Computational Neuroscience (CCN), 2019
8 2019 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
7 2023 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
6 2020 
Volker TrespLudwig-Maximilians-Universität München (LMU Munich)Потвърден имейл адрес: dbs.ifi.lmu.de