Industria cultural y creativa

Parallel Scan Recurrent Neural Quantum States for Scalable Variational Monte Carlo

- Neural-network quantum states have emerged as a powerful variational framework for quantum many-body systems, with recent progress often driven by massively parallel architectures such as...

Ergodicity Library: A Python Toolkit for Stochastic-Process Simulation, Time-Average Diagnostics, and Agent-Based Experiments

- ergodicity is an open-source Python library for computational work on stochastic dynamics, with particular emphasis on non-ergodicity, time-average behavior, heavy-tailed processes, and decision...

OpenAaaS: An Open Agent-as-a-Service Framework for Distributed Materials-Informatics Research

- The Materials Genome Initiative catalyzed the proliferation of centralized platforms--SaaS, PaaS, and IaaS--that aggregate computational and experimental resources for accelerated materials...

Conformal Anomaly Detection in Python: Moving Beyond Heuristic Thresholds with 'nonconform'

- Most anomaly detection systems output scores rather than calibrated decisions, leaving practitioners to choose thresholds heuristically and without clear statistical interpretation. Conformal anomaly...

LLMs as Implicit Imputers: Uncertainty Should Scale with Missing Information

- Large language models (LLMs) are increasingly deployed in settings where the available context is incomplete or degraded. We argue that an LLM generating answers under incomplete context can be...

Extended Scenario Bundle Analysis: A Formal Framework for Strategic Scenario Modeling

- Strategic crisis analysis needs representations that combine qualitative expert judgement, explicit interdependence, and auditable update rules without requiring fully specified payoffs or...

Coreset-Induced Conditional Velocity Flow Matching

- We propose Coreset-Induced Conditional Velocity Flow Matching (CCVFM), a generative model that augments hierarchical rectified flow with a data-informed source distribution. Hierarchical flow...

SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting

- Neural population models, which predict the joint firing of many simultaneously recorded neurons forward in time, are typically evaluated by a single aggregate Pearson correlation $r$ between...

When to Trust Confidence Thresholding: Calibration Diagnostics for Pseudo-Labelled Regression

- Calibrated probability outputs of trained classifiers are increasingly used as inputs to downstream regression estimands such as effects, prevalences, or disparities for a latent group observed only...

Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs

- In the field of quantum reservoir computing (QRC), many different computational models and architectures have been proposed. From these models, we identify feedback based models -- which use a...

Optimization in Sparse 2D to Dense 3D Weakly Supervised Learning: Application to Multi-Label Segmentation of Large ex vivo MRI Data

- INTRODUCTION | Fully supervised 3D segmentation of high-resolution ex vivo MRI is limited by the prohibitive cost of volumetric annotation, forcing reliance on sparse 2D slices. Weakly supervised...

Yield Curves Dynamics Using Variational Autoencoders Under No-arbitrage

- This paper introduces a physics-informed generative framework that resolves the fundamental conflict between the statistical flexibility of deep learning and the rigorous theoretical constraints of...

Human face perception reflects inverse-generative and naturalistic discriminative objectives

- The perceptual representations supporting our ability to recognize faces remain a computational mystery. Deep neural networks offer mechanistic hypotheses for human face perception, but theoretically...

JANUS: Anatomy-Conditioned Gating for Robust CT Triage Under Distribution Shift

- Automated CT triage requires models that are simultaneously accurate across diverse pathologies and reliable under institutional shift. While Vision Transformers provide strong visual...

Uncertainty-Driven Anomaly Detection for Psychotic Relapse Using Smartwatches: Forecasting and Multi-Task Learning Fusion

- Digital phenotyping enables continuous passive monitoring of behavior and physiology, offering a promising paradigm for early detection of psychotic relapse. In this work, we develop and...

Topology-Preserving Neural Operator Learning via Hodge Decomposition

- In this paper, we study solution operators of physical field equations on geometric meshes from a function-space perspective. We reveal that Hodge orthogonality fundamentally resolves spectral...

MinT: Managed Infrastructure for Training and Serving Millions of LLMs

- We present MindLab Toolkit (MinT), a managed infrastructure system for Low-Rank Adaptation (LoRA) post-training and online serving. MinT targets a setting where many trained policies are produced...

Attention Once Is All You Need: Efficient Streaming Inference with Stateful Transformers

- Conventional transformer inference engines are request-driven, paying an O(n) prefill cost on every query. In streaming workloads, where data arrives continuously and queries probe an ever-growing...

The critical slowing down in diffusion models

- Computational sampling has been central to the sciences since the mid-20th century. While machine-learning-based approaches have recently enabled major advances, their behavior remains poorly...

Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO

- The integration of terahertz communications and ultra-massive multiple-input multiple-output (UM-MIMO) systems in 6G networks is motivated by their ability to enable unprecedented data rates,...

On Privacy-Preserving Image Transmission in Low-Altitude Networks: A Swin Transformer-Based Framework with Federated Learning

- The rapid development of low-altitude economy has driven the proliferation of Unmanned Aerial Vehicle (UAV) applications, including logistics, inspection, and emergency response. However,...