arXiv:2602.06021v1 Announce Type: new Abstract: When a diffusion model is not memorizing the training data set, how does it generalize exactly? A quantitative understanding of the distribution it generates would be beneficial to, for example, an assessment of the model’s performance for downstream applications. We thus explicitly characterize what diffusion model generates, by proposing a log-density ridge manifold and quantifying how the generated data relate to this manifold as inference dynamics progresses. More precisely, inference undergoes a reach-align-slide […]

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arXiv:2601.15481v1 Announce Type: new Abstract: Emergency Department overcrowding is a critical issue that compromises patient safety and operational efficiency, necessitating accurate demand forecasting for effective resource allocation. This study evaluates and compares three distinct predictive models: Seasonal AutoRegressive Integrated Moving Average with eXogenous regressors (SARIMAX), EXtreme Gradient Boosting (XGBoost) and Long Short-Term Memory (LSTM) networks for forecasting daily ED arrivals over a seven-day horizon. Utilizing data from an Australian tertiary referral hospital spanning January 2017 to December 2021, […]

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Product decisions are often discussed as if they exist in a vacuum. Build the right features, optimise engagement, scale what works. In practice, those decisions are heavily shaped by context — especially in emerging markets. Shipping REM (Rapid Eye Movement), a live mobile game released to players in an emerging market, challenged many assumptions I had absorbed from mainstream game development and startup discourse. The biggest lesson was simple: good product decisions come from real constraints, not best […]

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Below is my annual summary of some of the best books I read in the past year. There are a few themes that weave their way throughout: the brain, running, history, and biographies. Here I also try to rank them loosely – the first ones are my top choices. Enjoy!  The Strange Order of Things by Antonio Damasio I heard Damasio talk a few times and was unimpressed, feeling that his arrogance to substance ratio was too high […]

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I saw a post on X recently that said Bill Gates is closer to you in wealth than he is to Elon Musk. Mind blown. For round numbers, let’s say Elon Musk’s net worth is 800 billion and Bill Gates’ net worth is 100 billion. So if your net worth is less 450 billion, the statement in the post is true. The reason the statement above is mind blowing is that in this context you naturally think on […]

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Deep reinforcement learning (RL) is increasingly deployed in resource-constrained environments, yet the go-to function approximators – multilayer perceptrons (MLPs) – are often parameter-inefficient due to an imperfect inductive bias for the smooth structure of many value functions. This mismatch can also hinder sample efficiency and slow policy learning in this capacity-limited regime. Although model compression techniques exist, they operate post-hoc and do not improve learning efficiency. Recent spline-based separable architectures – such as Kolmogorov-Arnold Networks (KANs) – have […]

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arXiv:2604.01312v1 Announce Type: new Abstract: Learning human preferences in language models remains fundamentally challenging, as reward modeling relies on subtle, subjective comparisons or shades of gray rather than clear-cut labels. This study investigates the limits of current approaches and proposes a feature-augmented framework to better capture the multidimensional nature of human judgment. Using the Anthropic HHRLHF dataset, we evaluate ten diverse large language models LLMs under a standard pairwise preference setting, where baseline performance remains below 0.74 ROC […]

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Finding high-quality, cascading failure logs from real manufacturing to train continuous control RL agents is practically impossible due to proprietary air-gaps. Most open-source datasets are just Gaussian noise, which doesn’t respect the physical invariants needed for realistic state-transition dynamics. I’ve been experimenting with building a hybrid LLM-Physics simulation of a liquid-phase exothermic batch reactor to generate high-fidelity telemetry, and I’d love to get this community’s thoughts on the methodology for industrial environment design. **How we structured the state […]

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