Adaptive Pruning for Increased Robustness and Reduced Computational Overhead in Gaussian Process Accelerated Saddle Point Searches Paper • 2510.06030 • Published Oct 7 • 2
Metatensor and metatomic: foundational libraries for interoperable atomistic machine learning Paper • 2508.15704 • Published Aug 21
Bayesian Hierarchical Models for Quantitative Estimates for Performance metrics applied to Saddle Search Algorithms Paper • 2505.13621 • Published May 19
Efficient Implementation of Gaussian Process Regression Accelerated Saddle Point Searches with Application to Molecular Reactions Paper • 2505.12519 • Published May 18
Compositional Analysis of Fragrance Accords Using Femtosecond Thermal Lens Spectroscopy Paper • 2503.20431 • Published Mar 26
High-order finite element method for atomic structure calculations Paper • 2307.05856 • Published Jul 12, 2023
d-SEAMS: Deferred Structural Elucidation Analysis for Molecular Simulations Paper • 1909.09830 • Published Sep 21, 2019
Diffusion of self-propelled Janus tracer in polymeric environment Paper • 1704.06207 • Published Apr 20, 2017
See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation Paper • 2509.22653 • Published Sep 26 • 24
Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery Paper • 2411.02136 • Published Nov 4, 2024 • 1
Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data Paper • 2501.03492 • Published Jan 7
FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Views Paper • 2502.12138 • Published Feb 17
Level-S$^2$fM: Structure from Motion on Neural Level Set of Implicit Surfaces Paper • 2211.12018 • Published Nov 22, 2022 • 1
InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior Paper • 2404.11613 • Published Apr 17, 2024 • 11
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning Paper • 2210.12971 • Published Oct 24, 2022