[Submitted on 24 Oct 2025 (v1), last revised 14 Jan 2026 (this version, v2)] View a PDF of the paper titled Deep Jump Gaussian Processes for Surrogate Modeling of High-Dimensional Piecewise Continuous Functions, by Yang Xu and Chiwoo Park View PDF HTML (experimental) Abstract:We introduce Deep Jump Gaussian Processes (DJGP), a novel method for surrogate modeling of a piecewise continuous …
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[2303.12957] Reinforcement Learning with Exogenous States and Rewards
[Submitted on 22 Mar 2023 (v1), last revised 14 Jan 2026 (this version, v2)] View a PDF of the paper titled Reinforcement Learning with Exogenous States and Rewards, by George Trimponias and Thomas G. Dietterich View PDF HTML (experimental) Abstract:Exogenous state variables and rewards can slow reinforcement learning by injecting uncontrolled variation into the reward signal. This paper formalizes exogenous …
Read More »A Statistical Assessment of Amortized Inference Under Signal-to-Noise Variation and Distribution Shift
arXiv:2601.07944v1 Announce Type: new Abstract: Since the turn of the century, approximate Bayesian inference has steadily evolved as new computational techniques have been incorporated to handle increasingly complex and large-scale predictive problems. The recent success of deep neural networks and foundation models has now given rise to a new paradigm in statistical modeling, in which Bayesian inference can be amortized …
Read More »An introduction to AWS Bedrock | Towards Data Science
at the beginning of 2026, AWS has several related yet distinct components that make up its agentic and LLM abstractions. Bedrock is the model layer that enables access to large language models. Agents for Bedrock is the managed application layer. In other words, AWS runs the agents for you based on your requirements. Bedrock AgentCore is an infrastructure layer that …
Read More »[2409.14590] Explainable AI needs formalization
[Submitted on 22 Sep 2024 (v1), last revised 9 Jan 2026 (this version, v4)] View a PDF of the paper titled Explainable AI needs formalization, by Stefan Haufe and 6 other authors View PDF HTML (experimental) Abstract:The field of “explainable artificial intelligence” (XAI) seemingly addresses the desire that decisions of machine learning systems should be human-understandable. However, in its current …
Read More »Automatic Prompt Optimization for Multimodal Vision Agents: A Self-Driving Car Example
Optimizing Multimodal Agents Multimodal AI agents, those that can process text and images (or other media), are rapidly entering real-world domains like autonomous driving, healthcare, and robotics. In these settings, we have traditionally used vision models like CNNs; in the post-GPT era, we can use vision and multimodal language models that leverage human instructions in the form of prompts, rather …
Read More »Indonesia blocks Grok over non-consensual, sexualized deepfakes
Indonesian officials said Saturday that they are temporarily blocking access to xAI’s chatbot Grok. This is one of the most aggressive moves so far from government officials responding to a flood of sexualized, AI-generated imagery — often depicting real women and minors, and sometimes showing assault and abuse — posted by Grok in response to requests from users on the …
Read More »How LLMs Handle Infinite Context With Finite Memory
1. Introduction two years, we witnessed a race for sequence length in AI language models. We gradually evolved from 4k context length to 32k, then 128k, to the massive 1-million token window first promised by models like Gemini 1.5 pro. The promise was alluring: dump entire codebases or novels into the model and let it reason across the entire thing. …
Read More »[2512.21944] Data relativistic uncertainty framework for low-illumination anime scenery image enhancement
[Submitted on 26 Dec 2025 (v1), last revised 7 Jan 2026 (this version, v2)] View a PDF of the paper titled Data relativistic uncertainty framework for low-illumination anime scenery image enhancement, by Yiquan Gao and 1 other authors View PDF HTML (experimental) Abstract:By contrast with the prevailing works of low-light enhancement in natural images and videos, this study copes with …
Read More »The creator of Claude Code just revealed his workflow, and developers are losing their minds
When the creator of the world’s most advanced coding agent speaks, Silicon Valley doesn’t just listen — it takes notes. For the past week, the engineering community has been dissecting a thread on X from Boris Cherny, the creator and head of Claude Code at Anthropic. What began as a casual sharing of his personal terminal setup has spiraled into …
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