arXiv:2411.02694v2 Announce Type: replace Abstract: Point processes are widely used statistical models for continuous-time discrete event data, such as medical records, crime reports, and social network interactions, to capture the influence of historical events on future occurrences. In many applications, however, event times are not observed exactly, motivating the need to incorporate time uncertainty into point process modeling. In this work, we introduce a framework for modeling time-uncertain self-exciting point processes, known as Hawkes processes, possibly defined over […]

Ver mais

The goal of sufficient dimension reduction in supervised learning is to find the low dimensional subspace of input features that is “sufficient” for predicting output values. In this paper, we propose a novel sufficient dimension reduction method using a squared-loss variant of mutual information as a dependency measure. We utilize an analytic approximator of squared-loss mutual information based on density ratio estimation, which is shown to possess suitable convergence properties. We then develop a natural gradient algorithm for […]

Ver mais

Reliable agentic AI requires not only accurate reasoning and adaptive control, but also mechanisms that preserve reliability over time. While recent work has introduced system-level evaluation frameworks (e.g., HB-Eval) and real-time control architectures (e.g., Adapt-Plan), the question of how reliability is retained across an agent’s operational lifespan remains largely unaddressed. Existing memory mechanisms typically store experiences based on recency or salience, inadvertently allowing low-quality behaviors to accumulate and degrade long-term performance.This paper introduces Evaluation-Driven Memory (EDM), a persistence […]

Ver mais

Not everything is about saving time. It’s about solving a real problem and things that matter. Everywhere you look, someone’s building an AI tool to save you time. There’s an app to plan your meals, one to write your emails, another to manage your money automatically. It’s all supposed to make life effortless. But lately, I’ve started to wonder if effort itself is the point. A few years ago, I set up a budgeting app that tracked everything. […]

Ver mais

The cross-entropy loss is our go-to loss for training deep learning-based classifiers. In this article, I am giving you a quick tour of how we usually compute the cross-entropy loss and how we compute it in PyTorch. There are two parts to it, and here we will look at a binary classification context first. You may wonder why bother writing this article; computing the cross-entropy loss should be relatively straightforward!? Yes and no. We can compute the cross-entropy […]

Ver mais

A core component of research is the communication of research ideas. Top-tier venues, especially in machine learning, expect these research ideas to be novel, have significant impact and influence in the community and be appropriately empirically or theoretically tested. This is reflected in the way that research is communicated: through papers, talks, posters, tutorials, etc. where the idea is clearly the central element. While some venues encourage open sourcing of code or datasets or try to shift focus […]

Ver mais

Hey r/MachineLearning! We’re building MemeQA: a crowd-sourced dataset to test Vision-Language Models (VLMs) on meme comprehension, humor, and cultural context. Led by researchers at THWS and CAIRO’s NLP Team, it’s got 10+ dimensions per meme—like emotional mappings, humor types, and cross-cultural patterns. I’ve got 31 memes to start, but need YOUR originals or favorites to make it comprehensive! Submit using our website: memes.thws.ai We’ll evaluate for VLM benchmarks and credit contributors. What meme stumps AI? Drop it below! […]

Ver mais

Last month I wrote about porting JustHTML from Python to JavaScript using Codex CLI and GPT-5.2 in a few hours while also buying a Christmas tree and watching Knives Out 3. I ended that post with a series of open questions about the ethics and legality of this style of work. Alexander Petros on lobste.rs just challenged me to answer them, which is fair enough! Here’s my attempt at that. You can read the original post for background, […]

Ver mais