Gritsenko, Alexey
9 papers on CoChatORCID 0000-0003-1799-2301
Most cited papers
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Imagen Video: High Definition Video Generation with Diffusion Models
Ho, J., Chan, W., Saharia, C., Whang, J., Gao, R., Gritsenko, A., Kingma, D. P., Poole, B., Norouzi, M., Fleet, D. J., et al. (2022) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 399
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Systematic discovery of cap-independent translation sequences in human and viral genomes
Weingarten-Gabbay, S., Elias-Kirma, S., Nir, R., Gritsenko, A. A., Stern-Ginossar, N., Yakhini, Z., Weinberger, A., & Segal, E. (2016) · Science
RNA and protein synthesis mechanismsRNA Research and Splicing
Cited by 334
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Video Diffusion Models
Ho, J., Salimans, T., Gritsenko, A., Chan, W., Norouzi, M., & Fleet, D. J. (2022) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 301
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Scaling vision transformers to 22 billion parameters
Dehghani, M., Djolonga, J., Mustafa, B., Padlewski, P., Heek, J., Gilmer, J., Steiner, A., Caron, M., Geirhos, R., Alabdulmohsin, I., et al. (2023) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 112
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The Benchmark Lottery
Dehghani, M., Tay, Y., Gritsenko, A. A., Zhao, Z., Houlsby, N., Diaz, F., Metzler, D., & Vinyals, O. (2021) · arXiv
Machine Learning and Data ClassificationMachine Learning and Algorithms
Cited by 48
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Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
Dehghani, M., Mustafa, B., Djolonga, J., Heek, J., Minderer, M., Caron, M., Steiner, A., Puigcerver, J., Geirhos, R., Alabdulmohsin, I., et al. (2023) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 45
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SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Tschannen, M., Gritsenko, A., Wang, X., Naeem, M. F., Alabdulmohsin, I., Parthasarathy, N., Evans, T., Beyer, L., Xia, Y., Mustafa, B., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 22
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PaliGemma: A versatile 3B VLM for transfer
Beyer, L., Steiner, A., Pinto, A. S., Kolesnikov, A., Wang, X., Salz, D., Neumann, M., Alabdulmohsin, I., Tschannen, M., Bugliarello, E., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 17
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Improving fine-grained understanding in image-text pre-training
Bica, I., Ilić, A., Bauer, M., Erdogan, G., Bošnjak, M., Kaplanis, C., Gritsenko, A. A., Minderer, M., Blundell, C., Pascanu, R., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 4
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