· ai
[Paper] Exploring the Effect of Basis Rotation on NQS Performance
Neural Quantum States (NQS) use neural networks to represent wavefunctions of quantum many-body systems, but their performance depends on the choice of basis, y...
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- · ai
[Paper] Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training
Current approaches for designing self-explainable models (SEMs) require complicated training procedures and specific architectures which makes them impractical....
- · devops
[Paper] Asymptotic behaviour of galactic small-scale dynamos at modest magnetic Prandtl number
Magnetic fields are critical at many scales to galactic dynamics and structure, including multiphase pressure balance, dust processing, and star formation. Dyna...
- · ai
[Paper] Regularized Random Fourier Features and Finite Element Reconstruction for Operator Learning in Sobolev Space
Operator learning is a data-driven approximation of mappings between infinite-dimensional function spaces, such as the solution operators of partial differentia...
- · ai
[Paper] Weighted Stochastic Differential Equation to Implement Wasserstein-Fisher-Rao Gradient Flow
Score-based diffusion models currently constitute the state of the art in continuous generative modeling. These methods are typically formulated via overdamped ...
- · ai
[Paper] Learning vertical coordinates via automatic differentiation of a dynamical core
Terrain-following coordinates in atmospheric models often imprint their grid structure onto the solution, particularly over steep topography, where distorted co...
- · ai
[Paper] Visually Prompted Benchmarks Are Surprisingly Fragile
A key challenge in evaluating VLMs is testing models' ability to analyze visual content independently from their textual priors. Recent benchmarks such as BLINK...
- · ai
[Paper] InSPECT: Invariant Spectral Features Preservation of Diffusion Models
Modern diffusion models (DMs) have achieved state-of-the-art image generation. However, the fundamental design choice of diffusing data all the way to white noi...
- · ai
[Paper] Interpretable Plant Leaf Disease Detection Using Attention-Enhanced CNN
Plant diseases pose a significant threat to global food security, necessitating accurate and interpretable disease detection methods. This study introduces an i...
- · ai
[Paper] AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning
Generalist robot learning remains constrained by data: large-scale, diverse, and high-quality interaction data are expensive to collect in the real world. While...
- · ai
[Paper] InfSplign: Inference-Time Spatial Alignment of Text-to-Image Diffusion Models
Text-to-image (T2I) diffusion models generate high-quality images but often fail to capture the spatial relations specified in text prompts. This limitation can...
- · ai
[Paper] ShareChat: A Dataset of Chatbot Conversations in the Wild
While Large Language Models (LLMs) have evolved into distinct platforms with unique interface designs and capabilities, existing public datasets treat models as...