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Found 8 papers, 1 papers with code
Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning
Prediction of the Solar Energetic Particle (SEP) events garner increasing interest as space missions extend beyond Earth's protective magnetosphere.
Zero-shot sampling of adversarial entities in biomedical question answering
Our investigations illustrate the brittleness of domain knowledge in LLMs and reveal a shortcoming of standard evaluations for high-capacity models.
Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent
Evading adversarial example detection defenses requires finding adversarial examples that must simultaneously (a) be misclassified by the model and (b) be detected as non-adversarial.
Grammar Equations
Diagrammatically speaking, grammatical calculi such as pregroups provide wires between words in order to elucidate their interactions, and this enables one to verify grammatical correctness of phrases and sentences.
The Safari of Update Structures: Visiting the Lens and Quantum Enclosures
We build upon our recently introduced concept of an update structure to show that it is a generalisation of very-well-behaved lenses, that is, there is a bijection between a strict subset of update structures and vwb lenses in cartesian categories.
Towards a Scientific Method for Dynamical Systems
The premise of this paper is the following value proposition: Models are good when they describe a system of phenomena, and they are better when they can predict the effect of interventions upon the system.
Categories of Semantic Concepts
Modelling concept representation is a foundational problem in the study of cognition and linguistics.
