Author

Thomas Reed

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Preprint Aug 2026

SPARCL: Spectral Partitioned Analytic Continual Learning

SPARCL is proposed, a spectral partitioned analytic continual learner that decomposes the running autocorrelation into a high-energy core and a residual complement, freezes old-class classifier components in the core subspace, and updates only the residual block through recursive least squares with an optional residual...

James E. Hartley, Zeropy Surio, D. Whitmore et al. · 0 citations

Open access Jul 2026

Transformer-based molecular fragment prediction using SMILES and DeepSMILES representations in a fragment-based drug discovery pipeline

Results show that string representation meaningfully influences transformer fragment recovery and that representation-aware selection outperforms either representation alone.

Aayush Kothari, Amisha Gupta, Nisarg Shah et al. · Journal of Cheminformatics · 0 citations