technocracy

arXiv:2601.16413v1 Announce Type: new Abstract: Deep convolutional neural networks can use hierarchical information to progressively extract structural information to recover high-quality images. However, preserving the effectiveness of the obtained structural information is important in image super-resolution. In this paper, we propose a cosine network for image super-resolution (CSRNet) by improving a network architecture and optimizing the training strategy. To extract complementary homologous structural information, odd and even heterogeneous blocks are designed to enlarge the architectural differences and improve […]

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arXiv:2601.05429v1 Announce Type: new Abstract: Finding a free parking space in a city has become a challenging task over the past decades. A recently proposed auction-based parking assignment can alleviate cruising for parking and also set a market-driven, demand-responsive parking price. However, the wide acceptance of such a system is far from certain. To evaluate the merits of auction-based parking assignment, we assume that drivers have access to a smartphone-based reservation system prior to its mandatory introduction and […]

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Precision medicine promises to transform health care by offering individualised treatments that dramatically improve clinical outcomes. A necessary prerequisite is to identify subgroups of patients who respond differently to different therapies. Current approaches are limited to static measures of treatment success, neglecting the repeated measures found in most clinical trials. Our approach combines the concept of partly conditional modelling with treatment effect estimation based on the Virtual Twins method. The resulting time-specific responses to treatment are characterised using […]

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Fully observable Matsuzawa puzzles are grid worlds where an agent must pick up coins in a particular order, travel down a long hallway, then pick up coins in order again. The secondary chamber has the coins in exactly the locations in which they occurred in the primary. https://i.imgur.com/5nvi0oe.png coins must be picked up in the order of their face number. coins in the secondary chamber are pickable only when there are no coins remaining in the primary. reward […]

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arXiv:2601.00227v1 Announce Type: new Abstract: Recent advances show that large language models (LLMs) can act as autonomous agents capable of generating GPU kernels, but integrating these AI-generated kernels into real-world inference systems remains challenging. FlashInfer-Bench addresses this gap by establishing a standardized, closed-loop framework that connects kernel generation, benchmarking, and deployment. At its core, FlashInfer Trace provides a unified schema describing kernel definitions, workloads, implementations, and evaluations, enabling consistent communication between agents and systems. Built on real serving […]

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arXiv:2602.07209v1 Announce Type: new Abstract: Localization and mapping of an environment are crucial tasks for any robot operating in unstructured environments. Time-of-flight (ToF) sensors (e.g.,~lidar) have proven useful in mobile robotics, where high-resolution sensors can be used for simultaneous localization and mapping. In soft and continuum robotics, however, these high-resolution sensors are too large for practical use. This, combined with the deformable nature of such robots, has resulted in continuum robot (CR) localization and mapping in unstructured environments […]

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arXiv:2010.01388v2 Announce Type: replace-cross Abstract: Moments when a time series changes its behavior are called change points. Occurrence of change point implies that the state of the system is altered and its timely detection might help to prevent unwanted consequences. In this paper, we present two change-point detection approaches based on neural networks and online learning. These algorithms demonstrate linear computational complexity and are suitable for change-point detection in large time series. We compare them with the best […]

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Most teams chasing 100% code coverage are optimizing for a number, not for quality. Here’s why that obsession is actively making your software worse. Quick Answer Is 100% test coverage bad? No. Is chasing 100% test coverage bad? Almost always yes. Coverage tells you which lines of code executed during tests. It says nothing about whether your tests validate the right behavior, handle edge cases, or catch regressions. A codebase with 70% meaningful coverage will outperform one with 100% shallow […]

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