HRETIS extends RETIS with a Hamiltonian replica exchange (engine-swap) move that accelerates path decorrelation and convergence in rare-event simulations of multi-channel and membrane permeation systems.
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EvoStruct integrates evolutionary priors from a protein language model with structural priors from an E(3)-equivariant GNN to raise amino acid recovery by 16% and diversity by 2.3x on CHIMERA-Bench while cutting perplexity 43%.
MOSAIC recovers identifiable latent variables and their sparse associated observations in scientific time series by combining temporal causal representation learning with support recovery through a sparse additive decoder.
citing papers explorer
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Collaborate to decorrelate in path space: Hamiltonian replica exchange transition interface sampling (HRETIS)
HRETIS extends RETIS with a Hamiltonian replica exchange (engine-swap) move that accelerates path decorrelation and convergence in rare-event simulations of multi-channel and membrane permeation systems.
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EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation
EvoStruct integrates evolutionary priors from a protein language model with structural priors from an E(3)-equivariant GNN to raise amino acid recovery by 16% and diversity by 2.3x on CHIMERA-Bench while cutting perplexity 43%.
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MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series
MOSAIC recovers identifiable latent variables and their sparse associated observations in scientific time series by combining temporal causal representation learning with support recovery through a sparse additive decoder.
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