Christos Kaplanis

According to our database, Christos Kaplanis authored at least 12 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Vision-Language Model Dialog Games for Self-Improvement.

Ksenia Konyushkova, Christos Kaplanis, Serkan Cabi, Misha Denil

CoRR, February, 2025

2024

Synth²: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings.

Sahand Sharifzadeh, Christos Kaplanis, Shreya Pathak, Dharshan Kumaran, Anastasija Ilic, Jovana Mitrovic, Charles Blundell, Andrea Banino

CoRR, 2024

Learning diverse causally emergent representations from time series data.

David McSharry, Christos Kaplanis, Fernando Rosas, Pedro A. M. Mediano

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Successor Features the Simple Way.

Raymond Chua, Arna Ghosh, Christos Kaplanis, Blake A. Richards, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving fine-grained understanding in image-text pre-training.

Ioana Bica, Anastasija Ilic, Matthias Bauer, Goker Erdogan, Matko Bosnjak, Christos Kaplanis, Alexey A. Gritsenko, Matthias Minderer, Charles Blundell, Razvan Pascanu, Jovana Mitrovic

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2021

Encoders and Ensembles for Task-Free Continual Learning.

Murray Shanahan, Christos Kaplanis, Jovana Mitrovic

CoRR, 2021

2020

Continual reinforcement learning with memory at multiple timescales.

Christos Kaplanis

PhD thesis, 2020

Continual Reinforcement Learning with Multi-Timescale Replay.

Christos Kaplanis, Claudia Clopath, Murray Shanahan

CoRR, 2020

An Explicitly Relational Neural Network Architecture.

Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David G. T. Barrett, Marta Garnelo

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning.

Nat Dilokthanakul, Christos Kaplanis, Nick Pawlowski, Murray Shanahan

IEEE Trans. Neural Networks Learn. Syst., 2019

Policy Consolidation for Continual Reinforcement Learning.

Christos Kaplanis, Murray Shanahan, Claudia Clopath

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Continual Reinforcement Learning with Complex Synapses.

Christos Kaplanis, Murray Shanahan, Claudia Clopath

Proceedings of the 35th International Conference on Machine Learning, 2018