Latest Research in Machine Learning
11 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Machine Learning — 2 papers
- Biological Physics — 2 papers
- Advanced Fluorescence Microscopy Techniques — 1 papers
- Biomolecules — 1 papers
- Instrumentation and Detectors — 1 papers
- Chemical Physics — 1 papers
- Protein Structure and Dynamics — 1 papers
- Soft Condensed Matter — 1 papers
- Chemical synthesis and alkaloids — 1 papers
Highest-Cited Papers
- VGAS: Variance-Reduced Guidance and Adaptive Selection for Training-Free Reward Alignment in Discrete Diffusion
- Q-BIOLAT: Binary Latent Protein Fitness Landscapes for QUBO-Based Optimization
- Microsecond Barrier-Crossing Collapse in Cytochrome c Folding Revealed by Two-Dimensional Fluorescence Lifetime Correlation Spectroscopy
- Predicting directional flexibility in proteins
- Real-time blind indexing by cross-frame consensus
- Derivation of the Sample-Size Scaling of TWO-NN Intrinsic-Dimension Estimates from Molecular Dynamics Trajectories
- A regenerating free-energy register for protein-templated period-2 DNA synthesis by Drt3b
- Deep Learning for Protein Modeling: From Single Structure to Bound Complex and Thermodynamic Ensemble, With a Focus on Architectural Design
- ESPResSo++: A Fast and Extensible Molecular Simulation Package for Coarse-Grained Models
- Research EnzyPred: a general model for predicting enzyme–substrate interactions using deep learning, parallel LoRA, and, natural language processing-inspired approaches
- Funnel-like protein energy landscapes emerge from functional evolution under thermal fluctuations