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Pietro Liò

3 papers indexed

arxivcs.LG2026-07-21

DBMol: Design of High-Affinity, Target-Specific Small Molecules through Structure Prediction Models

Yiming Qin, Kai Yi, Miruna Cretu, Sjors H. W. Scheres, Pietro Liò, Pascal Frossard

Designing small molecule ligands that bind with high affinity to specific protein pockets is a fundamental goal in drug discovery, as small molecules constitute a major fraction of approved therapeutics. Recent breakthroughs in structure prediction, such as AlphaFold-3 and Boltz-…

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arxivcs.LG2026-07-08

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts

Andrei Cristian Popescu, Haitz Sáez de Ocáriz Borde, Pietro Liò

Looped Transformers increase test-time computation by repeatedly applying a shared recurrent block. Learned halting objectives in looped Transformers typically use a single exit distribution both as the inference-time stopping rule and as the training-time weighting of per-depth…

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arxivq-bio.QMcs.LG2026-07-04

Trajectory Inference of Human Aging from Cross-Sectional DNA Methylation Data

Chandan Gupta, Syed Haider, Pietro Liò

DNA methylation (DNAm) serves as one of the most robust molecular biomarkers of biological aging. While conventional epigenetic clocks accurately predict chronological age from high-dimensional CpG profiles, they treat aging as a static regression task, meaning they can only outp…

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