Shikha Surana

According to our database, Shikha Surana authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs.

Eszter Varga-Umbrich, Zachary Weller-Davies, Paul Duckworth, Jules Tilly, Olivier Peltre, Shikha Surana

CoRR, May, 2026

Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs.

Eszter Varga-Umbrich, Shikha Surana, Paul Duckworth, Jules Tilly, Olivier Peltre, Zachary Weller-Davies

CoRR, May, 2026

2025

Overconfident Oracles: Limitations of In Silico Sequence Design Benchmarking.

Shikha Surana, Nathan Grinsztajn, Timothy Atkinson, Paul Duckworth, Thomas D. Barrett

CoRR, February, 2025

Metalic: Meta-Learning In-Context with Protein Language Models.

Jacob Beck, Shikha Surana, Manus McAuliffe, Oliver Bent, Thomas D. Barrett, Juan Jose Garau-Luis, Paul Duckworth

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX.

Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries P. Smit, Nathan Grinsztajn, Raphaël Boige, Cemlyn N. Waters, Mohamed A. Mimouni, Ulrich A. Mbou Sob, Ruan de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi-Objective Quality-Diversity for Crystal Structure Prediction.

Hannah Janmohamed, Marta Wolinska, Shikha Surana, Thomas Pierrot, Aron Walsh, Antoine Cully

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Combinatorial Optimization with Policy Adaptation using Latent Space Search.

Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Thomas D. Barrett

CoRR, 2023

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX.

Clément Bonnet, Daniel Luo, Donal Byrne, Shikha Surana, Vincent Coyette, Paul Duckworth, Laurence I. Midgley, Tristan Kalloniatis, Sasha Abramowitz, Cemlyn N. Waters, Andries P. Smit, Nathan Grinsztajn, Ulrich A. Mbou Sob, Omayma Mahjoub, Elshadai Tegegn, Mohamed A. Mimouni, Raphaël Boige, Ruan de Kock, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre

CoRR, 2023

Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization.

Nathan Grinsztajn, Daniel Furelos-Blanco, Shikha Surana, Clément Bonnet, Tom Barrett

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Combinatorial Optimization with Policy Adaptation using Latent Space Search.

Félix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors.

Shikha Surana, Bryan Lim, Antoine Cully

Proceedings of the IEEE International Conference on Robotics and Automation, 2023