Tag: causal machine learning
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Generative Modeling in Protein Design: Methods & Standards
Explore generative modeling in protein design, covering neural methods, conditional generation, evaluation standards, and future research challenges.
Generative Score Inference for Reliable Multimodal AI
Discover Generative Score Inference (GSI) for accurate uncertainty quantification in multimodal data, enhancing AI reliability in images and text tasks.
Probing Spatial Reasoning in LLMs: From Cognition to Neural Data
Explore how large language models represent spatial reasoning using cognitive and neural analysis across languages, revealing task-dependent spatial encodi...
Null-Space Compression for Label-Free LoRA Model Merging
Discover Null-Space Compression, a label-free method for merging LoRA fine-tuned models across classification, regression, and vision-language tasks.
TARA-Merging: Optimized LoRA Merging for AI Models
Discover TARA-Merging, a method to improve LoRA merging by preserving subspace coverage and reducing directional anisotropy for better AI task performance.