| VideoPoet: A Large Language Model for Zero-Shot Video Generation D Kondratyuk, L Yu, X Gu, J Lezama, J Huang, R Hornung, H Adam, ... arXiv preprint arXiv:2312.14125, 2023 | 412 | 2023 |
| Movinets: Mobile video networks for efficient video recognition D Kondratyuk, L Yuan, Y Li, L Zhang, M Tan, M Brown, B Gong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 380 | 2021 |
| 75 Languages, 1 Model: Parsing Universal Dependencies Universally D Kondratyuk, M Straka Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 349 | 2019 |
| Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models X Wang, D Kondratyuk, KM Kitani, Y Movshovitz-Attias, E Eban arXiv preprint arXiv:2012.01988, 2021 | 93* | 2021 |
| When ensembling smaller models is more efficient than single large models D Kondratyuk, M Tan, M Brown, B Gong arXiv preprint arXiv:2005.00570, 2020 | 51 | 2020 |
| LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs D Kondratyuk, T Gavenčiak, M Straka, J Hajič Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 47 | 2018 |
| Cross-lingual lemmatization and morphology tagging with two-stage multilingual BERT fine-tuning D Kondratyuk Proceedings of the 16th workshop on computational research in phonetics …, 2019 | 44 | 2019 |
| Alternating gradient descent and mixture-of-experts for integrated multimodal perception H Akbari, D Kondratyuk, Y Cui, R Hornung, H Wang, H Adam Advances in Neural Information Processing Systems 36, 79142-79154, 2023 | 32 | 2023 |
| Towards a unified foundation model: Jointly pre-training transformers on unpaired images and text Q Li, B Gong, Y Cui, D Kondratyuk, X Du, MH Yang, M Brown arXiv preprint arXiv:2112.07074, 2021 | 27 | 2021 |
| Camvig: Camera aware image-to-video generation with multimodal transformers A Marmon, G Schindler, J Lezama, D Kondratyuk, B Seybold, I Essa arXiv preprint arXiv:2405.13195, 2024 | 6 | 2024 |
| MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation S Yu, M Hahn, D Kondratyuk, J Shin, A Gupta, J Lezama, I Essa, D Ross, ... arXiv preprint arXiv:2502.12632, 2025 | 5 | 2025 |
| Replacing linguists with dummies: A serious need for trivial baselines in multi-task neural machine translation D Kondratyuk, R Cardenas, O Bojar The Prague Bulletin of Mathematical Linguistics 113 (1), 31-40, 2019 | 3 | 2019 |
| UDify pretrained model D Kondratyuk, M Straka LINDAT/CLARIN digital library at the Institute of Formal and Applied …, 2019 | 2 | 2019 |
| Improving the Memory of Intelligent Personal Assistants D Kondratyuk | 2 | 2017 |
| Let’s Try Something New: Service Learning in Boise State's Computer Science Department D Kondratyuk International Journal of Undergraduate Community Engagement 1 (1), 1, 2017 | 2 | 2017 |
| Towards a Dialogue System with Long-term, Episodic Memory D Kondratyuk, C Kennington SEMDIAL 2017 SaarDial, 160, 2017 | 2 | 2017 |
| A Study Of Games Over Finite Groups L Babinkostova, S Coskey, D Kondratyuk, S Navert, S Potter, ... | 2 | 2015 |
| Multilingual learning using syntactic multi-task training D Kondratyuk Univerzita Karlova, Matematicko-fyzikální fakulta, 2019 | 1 | 2019 |
| Integrity Coded Databases: An Evaluation of Performance, Efficiency, and Practicality D Kondratyuk, J Rodden, E Duran arXiv preprint arXiv:1802.00230, 2015 | 1 | 2015 |
| Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its Miscibility Y Li, F Liang, D Kondratyuk, M Tomizuka, K Keutzer, C Xu arXiv preprint arXiv:2505.18521, 2025 | | 2025 |
Matthew BrownPrincipal Scientist, WayveVerified email at wayve.ai
