Pascanu, Razvan

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

A study on the plasticity of neural networks

Berariu, T., Czarnecki, W., De, S., Bornschein, J., Smith, S., Pascanu, R., & Clopath, C. (2021) · arXiv

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 3

A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks

Schmied, T., Adler, T., Patil, V., Beck, M., Pöppel, K., Brandstetter, J., Klambauer, G., Pascanu, R., & Hochreiter, S. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 2

Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models

Rannen-Triki, A., Bornschein, J., Pascanu, R., Hutter, M., György, A., Galashov, A., Teh, Y. W., & Titsias, M. K. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 1

Agency Is Frame-Dependent

Abel, D., Barreto, A., Bowling, M., Dabney, W., Dong, S., Hansen, S., Harutyunyan, A., Khetarpal, K., Lyle, C., Pascanu, R., et al. (2025) · arXiv

Philosophy of Biology and Scientific ExplanationEmbodied and Extended Cognition

Cited by 0

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training

von Oswald, J., Scherrer, N., Kobayashi, S., Versari, L., Yang, S., Mittal, S., Schlegel, M., Maile, K., Schimpf, Y., Sieberling, O., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

On the generalization of language models from in-context learning and finetuning: a controlled study

Lampinen, A. K., Chaudhry, A., Chan, S. C. Y., Wild, C., Wan, D., Ku, A., Bornschein, J., Pascanu, R., Shanahan, M., & McClelland, J. L. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

State Soup: In-Context Skill Learning, Retrieval and Mixing

Pióro, M., Wołczyk, M., Pascanu, R., von Oswald, J., & Sacramento, J. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0