AI
Discretizing Continuous Time Series for Imputation with Masked Diffusion Training
Researchers have proposed a new method for imputing missing values in time series data. The Masked D...
AI
PGFS++: Molecular Property Improvement under Synthesis and Diversity Constraints
Researchers have developed a new AI framework called PGFS++, which can improve the properties of mol...
AI
Intercepting the Kangaroo: Experimental Astrolinguistics with Constructed Lexicons, Active Probing, and Large Language Models as Informants and Hypothesis Proposers
Researchers have developed an experimental framework for communicating with entities that categorize...
AI
Leaf Values as Coordinates: Exact Contrastive Explanation for Gradient-Boosted Ensembles
Researchers have found a way to interpret the predictions made by gradient-boosted ensembles, which ...
AI
Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets
Researchers have developed a method to distribute large language models across m...
AI
Interpretable AI predicts a 2026 summer dry anomaly in central China
Researchers have developed a deep learning model that can predict seasonal preci...
AI
Finetuning Strategies for Querying Sounds by Vocal Imitation
Researchers from a team of authors have published a paper describing their winni...
AI
Beyond Teacher Likelihood: Group-Calibrated On-Policy Distillation for Long-Context Reasoning
Researchers have developed a new approach to training AI models for long-context...