Español abajo 🧠✨ Interpreting in the Age of AI ✨🧠
facebook.com·1d
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<p>**Abstract:** This paper introduces Causal Contrastive Learning (CCL), a novel framework for generating more robust and interpretable counterfactual explanat...
freederia.com·21h
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The Underwear Fixed Point
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NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
arxiv.org·7h
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Understanding Electro-communication and Electro-sensing in Weakly Electric Fish using Multi-Agent Deep Reinforcement Learning
arxiv.org·7h
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Demystifying AI Tools, AI Agents, and Agentic Workflows
cacm.acm.org·17h
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Explicit Knowledge-Guided In-Context Learning for Early Detection of Alzheimer's Disease
arxiv.org·1d
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Pipelex: Building Reliable AI Workflows with Business Logic, Not API Calls
pub.towardsai.net·14h
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Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking
arxiv.org·7h
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I Built a Thinking AI Agent in Python that Uses the Internet by Itself
pub.towardsai.net·4h
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Adam symmetry theorem: characterization of the convergence of the stochastic Adam optimizer
arxiv.org·1d
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SENCA-st: Integrating Spatial Transcriptomics and Histopathology with Cross Attention Shared Encoder for Region Identification in Cancer Pathology
arxiv.org·7h
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Spilling the Beans: Teaching LLMs to Self-Report Their Hidden Objectives
arxiv.org·1d
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