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Found 3 papers, 1 papers with code
Preference optimization of protein language models as a multi-objective binder design paradigm
We present a multi-objective binder design paradigm based on instruction fine-tuning and direct preference optimization (DPO) of autoregressive protein language models (pLMs).
Neuro-symbolic partial differential equation solver
We present a highly scalable strategy for developing mesh-free neuro-symbolic partial differential equation solvers from existing numerical discretizations found in scientific computing.
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities
We present a scalable strategy for development of mesh-free hybrid neuro-symbolic partial differential equation solvers based on existing mesh-based numerical discretization methods.
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