Aleksandra Kalisz

According to our database, Aleksandra Kalisz authored at least 5 papers between 2020 and 2026.

Collaborative distances:

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

2026

Procedural Generation of Algorithm Discovery Tasks in Machine Learning.

Alexander David Goldie, Zilin Wang, Adrian Hayler, Deepak Nathani, Edan Toledo, Ken Thampiratwong, Aleksandra Kalisz, Michael Beukman, Alistair Letcher, Shashank Reddy, Clarisse Wibault, Theo Wolf, Charles O'Neill, Uljad Berdica, Nicholas Roberts, Saeed Rahmani, Hannah Erlebach, Roberta Raileanu, Shimon Whiteson, Jakob N. Foerster

CoRR, March, 2026

2025

ADIOS: Antibody Development via Opponent Shaping.

Sebastian Rene Towers, Aleksandra Kalisz, Philippe A. Robert, Alicia Higueruelo, Francesca V. Vianello, Ming-Han Chloe Tsai, Harrison Steel, Jakob Nicolaus Foerster

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Opponent Shaping for Antibody Development.

Sebastian Towers, Aleksandra Kalisz, Philippe A. Robert, Alicia Higueruelo, Francesca V. Vianello, Ming-Han Chloe Tsai, Harrison Steel, Jakob N. Foerster

CoRR, 2024

2023

Testing the limits of SMILES-based de novo molecular generation with curriculum and deep reinforcement learning.

Maranga Mokaya, Fergus Imrie, Willem P. van Hoorn, Aleksandra Kalisz, Anthony R. Bradley, Charlotte M. Deane

Nat. Mac. Intell., April, 2023

2020

Learning to Prune Deep Neural Networks via Reinforcement Learning.

Manas Gupta, Siddharth Aravindan, Aleksandra Kalisz, Vijay Chandrasekhar, Jie Lin

CoRR, 2020