I’ve been reading more about training in imagined environments, especially the work of the Dreamer series and RialTo, and I’m curious about how this could apply to CL. Take an example of a robot deployed in a home that notices it has a high failure rate when picking up a specific object (let’s say cans in a kitchen). It then builds a world model of the kitchen from it’s deployment data, generates can-grasping rollouts within it and RL […]

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Solving massive-scale optimization problems requires scalable first-order methods with low per-iteration cost. This tutorial highlights a shift in optimization: using differentiable programming not only to execute algorithms but to learn how to design them. Modern frameworks such as PyTorch, TensorFlow, and JAX enable this paradigm through efficient automatic differentiation. Embedding first-order methods within these systems allows end-to-end training that improves convergence and solution quality. Guided by Fenchel-Rockafellar duality, the tutorial demonstrates how duality-informed iterative schemes such as ADMM […]

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The Engineer’s Dilemma Engineers, architects, and developers share a common flaw: we hate ambiguity. We build systems based on logic, predictable inputs, and measurable outputs. Yet, the most important metric of our existence—Happiness—is usually treated as a vague, ethereal concept that “just happens.” I don’t like things that “just happen.” I like things I can track, optimize, and debug. If life is a system, then Happiness is the output. If the output is inconsistent, the code is buggy. […]

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arXiv:2603.00568v1 Announce Type: new Abstract: Molecule representation learning is crucial for understanding and predicting molecular properties. However, conventional atom-centric models, which treat chemical bonds merely as pairwise interactions, often overlook complex bond-level phenomena like resonance and stereoselectivity. This oversight limits their predictive accuracy for nuanced chemical behaviors. To address this limitation, we introduce textbf{DeMol}, a dual-graph framework whose architecture is motivated by a rigorous information-theoretic analysis demonstrating the information gain from a bond-centric perspective. DeMol explicitly models molecules […]

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This study develops a mobile-supported system that local governments can use in their irregular waste collection services within the scope of smart cities. Irregular waste refers to waste that individuals or organizations produce non-periodically, which arises unexpectedly or in an unusual manner. This waste can accumulate within the city and cause environmental pollution if it is not notified to the municipality or local government for collection. Unlike small-volume household waste collected at routine times, irregular waste is generally […]

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arXiv:2602.15181v1 Announce Type: new Abstract: Camera virtualization — an emerging solution to novel view synthesis — holds transformative potential for visual entertainment, live performances, and sports broadcasting by enabling the generation of photorealistic images from novel viewpoints using images from a limited set of calibrated multiple static physical cameras. Despite recent advances, achieving spatially and temporally coherent and photorealistic rendering of dynamic scenes with efficient time-archival capabilities, particularly in fast-paced sports and stage performances, remains challenging for existing […]

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arXiv:2601.20961v1 Announce Type: cross Abstract: We provide a complete theory of optimal universal rates for binary classification in the agnostic setting. This extends the realizable-case theory of Bousquet, Hanneke, Moran, van Handel, and Yehudayoff (2021) by removing the realizability assumption on the distribution. We identify a fundamental tetrachotomy of optimal rates: for every concept class, the optimal universal rate of convergence of the excess error rate is one of $e^{-n}$, $e^{-o(n)}$, $o(n^{-1/2})$, or arbitrarily slow. We further identify […]

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Patrick Smacchia, the author of NDepend, offered me a license for NDepend and I was thrilled, as I was always interested in it. In this blog post, I’ll be talking about my opinion and thoughts after trying it for the first time. Static code analysis Being able to check the quality of your source code before it’s even ran is a very valuable thing to have.

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In this month’s episode of Functional Futures, our guest is Oscar Spencer – a co-author of a functional programming language called Grain that compiles to WebAssembly. Listen to the episode to learn more about Grain, WebAssembly, and how to sell functional programming to developers. You can check out the full episode on our YouTube channel or listen to the audio version on our podcast page. Below, you can find some of the highlights of the episode, edited for […]

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arXiv:2604.04951v1 Announce Type: new Abstract: Imagine receiving a video call from your CFO, surrounded by colleagues, asking you to urgently authorise a confidential transfer. You comply. Every person on that call was fake, and you just lost $25 million. This is not a hypothetical. It happened in Hong Kong in January 2024, and it is becoming the template for a new generation of fraud. AI has not invented a new crime. It has industrialised an ancient one: the […]

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