Surana, Shikha

7 publications

ICLR 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

NeurIPSW 2024 Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes Carolin Benjamins, Shikha Surana, Oliver Bent, Marius Lindauer, Paul Duckworth

ICLR 2024 Jumanji: A Diverse Suite of Scalable Reinforcement Learning Environments in JAX Clément Bonnet, Daniel Luo, Donal John Byrne, Shikha Surana, Sasha Abramowitz, Paul Duckworth, Vincent Coyette, Laurence Illing Midgley, Elshadai Tegegn, Tristan Kalloniatis, Omayma Mahjoub, Matthew Macfarlane, Andries Petrus Smit, Nathan Grinsztajn, Raphael Boige, Cemlyn Neil Waters, Mohamed Ali Ali Mimouni, Ulrich Armel Mbou Sob, Ruan John de Kock, Siddarth Singh, Daniel Furelos-Blanco, Victor Le, Arnu Pretorius, Alexandre Laterre

NeurIPSW 2024 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

ICMLW 2024 Overconfident Oracles: Limitations of in Silico Sequence Design Benchmarking Shikha Surana, Nathan Grinsztajn, Timothy Atkinson, Paul Duckworth, Thomas D Barrett

NeurIPS 2023 Combinatorial Optimization with Policy Adaptation Using Latent Space Search Felix Chalumeau, Shikha Surana, Clément Bonnet, Nathan Grinsztajn, Arnu Pretorius, Alexandre Laterre, Tom Barrett

NeurIPS 2023 Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization Nathan Grinsztajn, Daniel Furelos-Blanco, Shikha Surana, Clément Bonnet, Tom Barrett