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This position paper addresses the challenge newsrooms face in disclosing generative AI involvement in news articles in ways that maintain or build reader trust
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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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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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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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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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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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Flow Matching (FM) models excel at generative tasks but suffer from slow ODE-based iterative sampling, limiting real-time use
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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 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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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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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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This paper addresses the emerging reality of the "agentic web," where users interact with online services predominantly through AI agents acting on their behalf
