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Flexible Kernels for Protein Property Prediction
This paper addresses the critical problem of predicting diverse protein properties, such as binding affinity and thermostability, from limited experimental data
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Free Parametrization of L_2-Bounded Structured State-Space Controllers for Nonlinear Control with Stability Guarantees
This paper tackles the critical challenge in nonlinear control of designing stabilizing controllers that can optimize complex objectives without sacrificing closed-loop stability
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From the microscope to High Performance Computing centers, a national effort toward automated data workflows for microscopy facility users in France
The paper addresses the growing challenge of managing large and complex biological microscopy data which include multidimensional, multimodal, and time-resolved images
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LLM-Mediated Demand Response Coordination in Smart Microgrids
This paper addresses the challenge of voluntary demand response coordination in smart microgrids, modeled as a repeated Prisoner's Dilemma on a social network of prosumers
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Matrix element method at NLO — A fine proof of concept in POWHEG
As a proof of concept, they implement this NLO MEM within POWHEG for fully leptonic W+W− production at the LHC, focusing on the dimension-six CP-even triple-gauge-boson operator QW in the Standard …
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Mean Flow Distillation — Robust and Stable Distillation for Flow Matching Models
Flow Matching (FM) models excel at generative tasks but suffer from slow ODE-based iterative sampling, limiting real-time use
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Optimizing 2D Input Representations and Sub-phase Fusion Strategies for Differential Diagnosis of Asthma and COPD Using CNN- and GRU-Based Networks
This study addresses the challenge of differential diagnosis between asthma and COPD using acoustic analysis of multi-channel pulmonary sounds
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Piper — A Programmable Distributed Training System
Piper addresses the complexity and inflexibility in current large-scale distributed training systems that combine multiple parallelism strategies (data, pipeline, expert, tensor parallelism) and me…
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Pre-Fault Voltage Discrimination and Time-Domain Protection for Distribution Networks with Inverter-Based Resources
This paper addresses the challenge of fault detection in distribution networks increasingly penetrated by inverter-based resources (IBRs), which produce low short-circuit fault currents that underm…
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Spatially heterogeneous power-law attenuation with multiple relaxation mechanisms for ultrasound modeling
This paper addresses the challenge of accurately modeling spatially heterogeneous power-law frequency-dependent attenuation in biological tissues for ultrasound simulations
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The Agentic Web Requires New Normative Infrastructure
This paper addresses the emerging reality of the "agentic web," where users interact with online services predominantly through AI agents acting on their behalf
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Time-frequency localization of bird calls in dense soundscapes
This work addresses the limitation of most bioacoustic classifiers that only predict species presence in broad time windows without precisely localizing bird vocalizations in time and frequency