Our AI+Science group from @Caltech has a number of papers at @NeurIPSConf in chronological order: FunDPS: Guided Diffusion Sampling on Function Spaces with Applications to PDEs R-KV: Redundancy-aware KV Cache Compression for Reasoning Models Friday 11:00-2:00pm NOBLE -- Neural Operator with Biologically-informed Latent Embeddings to Capture Experimental Variability in Biological Neuron Models Friday 4:30-7:30pm Workshops: Sparse autoencoder neural operators: Model recovery in function spaces Saturday 11:00-noon (oral), 15:45-17:00 (poster), Upper Level Ballroom 20D Geometric Operator Learning with Optimal Transport From Black Hole to Galaxy: Neural Operator Framework for Accretion and Feedback Dynamics Saturday 11:00-noon, Upper Level Ballroom 6CF Fourier Neural Operators for Fast Simulation and Inverse Design of Second-Harmonic Generation in TFLN Waveguide Inverse Design with Fourier Neural Operators for Quantum System Control Saturday 2:30-3:30pm, Upper Level Ballroom 6CF AI-Driven Mathematical Discovery for the Andrews–Curtis Conjecture LeanDojo-v2: A Comprehensive Library for AI-Assisted Theorem Proving in Lean Saturday 3:30 pm, Upper Level Ballroom 6A Coarse-to-Fine 3D MRI Reconstruction via 3D Neural Operators. Saturday 3:00-3:45pm, Upper level Rm 32AB M+Adam: Stable Low-Precision Training with Combined Adam--Madam Updates Saturday 3:00pm, Upper Level Ballroom 20A Flow-Guided Neural Operator for Self-Supervised Learning on Time Series Data Sunday 9:50am, Rm 28 A-E