Christos Kaplanis

According to our database, Christos Kaplanis authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

Imagen 3.

Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg

CoRR, 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

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