Analyzing Customer-Facing Vendor Experiences with Time Series Forecasting and Monte Carlo Techniquesby Vivek Kaushik, Jason…
Amelia: A Large Model and Dataset for Airport Surface Movement Forecastingby Ingrid Navarro, Pablo Ortega-Kral,…
Diffusion-Based Generation of Neural Activity from Disentangled Latent Codesby Jonathan D. McCart, Andrew R. Sedler,…
NeuroSEM: A hybrid framework for simulating multiphysics problems by coupling PINNs and spectral elementsby Khemraj…
Informed Correctors for Discrete Diffusion Modelsby Yixiu Zhao, Jiaxin Shi, Feng Chen, Shaul Druckmann, Lester…
GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networksby Jihee You, So…
Towards an Integrated Performance Framework for Fire Science and Management Workflowsby H. Ahmed, R. Shende,…
Adaptive Pre-training Data Detection for Large Language Models via Surprising Tokensby Anqi Zhang, Chaofeng WuFirst…
Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximationby Taehyun Cho, Seungyub…
Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Netby Rohini Banerjee, Cecilia G. Morales, Artur…