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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Sebastian Ibarraran

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3 papers indexed here

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#machine learning Preprint Oct 2026

Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder features

Intrinsically disordered protein regions (IDRs) play central roles in cellular processes such as transcriptional regulation, signal transduction, and subcellular localization, yet their functional design remains challenging. Structure-based design methods do not readily apply to IDRs, and existing protein language mode...

J. Liu, Sebastian Ibarraran, Frank Hu et al. · 0 citations
Open access Aug 2026

Efficient, Few-Shot Directed Evolution with Energy Rank Alignment.

Directed evolution is a powerful and widely used technique for protein engineering, and reducing the cost of iterated experimental observations has become a major priority for practitioners. A number of recent efforts to use machine-learning-based predictors to improve sequence selection have led to remarkable improvem...

Sebastian Ibarraran, Shriram Chennakesavalu, Frank Hu et al. · 0 citations
#artificial intelligence Apr 2026

Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebysheff Scalarization

STOMP is a powerful, robust multi-objective alignment algorithm that can meaningfully improve post-training in multiple domains and achieves or ties for the highest hypervolumes on 16/18 protein tasks and 5/6 natural language tasks.

Aadyot Bhatnagar, Peter Mørch Groth, Sebastian Ibarraran et al. · 0 citations

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