PIKFNO: An Interpretable Neural Operator Based on Physics Informed Kernel Function
Abstract page for arXiv paper 2608.14619: PIKFNO: An Interpretable Neural Operator Based on Physics Informed Kernel Function
Community feed
A focused stream of recent stories from the sources curated for this community. Latest: PIKFNO: An Interpretable Neural Operator Based on Physics Informed Kernel Function, DumpsterCluster: From Dumpster Diving to Serving LLaMA-70B on $60 GPUs, and Geometry Is Not Robustness: A Trajectory-Level Study of PGD Evaluation. Page 156.
Abstract page for arXiv paper 2608.14619: PIKFNO: An Interpretable Neural Operator Based on Physics Informed Kernel Function
Abstract page for arXiv paper 2608.14614: DumpsterCluster: From Dumpster Diving to Serving LLaMA-70B on $60 GPUs
Abstract page for arXiv paper 2608.14594: Geometry Is Not Robustness: A Trajectory-Level Study of PGD Evaluation
Abstract page for arXiv paper 2608.14563: Forward Pass Domain Adaptation (Without Cross-Layer Backpropagation)
Abstract page for arXiv paper 2608.14569: Position: Certified Correctness in Neural Constraint Reasoning Requires Symbolic Integration
Abstract page for arXiv paper 2608.14568: Position: AI Governance Needs ISO-like Interoperability Protocols, Not Just Laws
Abstract page for arXiv paper 2608.14567: From Doyle to AGM: A Survey and an Implementation Roadmap for Belief Change
Abstract page for arXiv paper 2608.14566: Position: Evaluations of AI Moral Reasoning Still Miss Half of the Picture
Abstract page for arXiv paper 2608.14559: When to Communicate: Belief Distributions and KL Divergence for Principled Gating in Multi-Agent RL
Abstract page for arXiv paper 2608.14552: Large Language Models Show Metacognitive Sensitivity in Medical Reasoning
Abstract page for arXiv paper 2608.14550: FLOPs vs Real Work: The Importance of Replication in AI Efficiency Assessment
Solo Operator Builds 68 Marketing Tools in One Month Using AI Coding Assistants KITV
More stories load automatically as you scroll.