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Pathfinder

Papers

Showing 125 of 43 papers

TitleStatusHype
Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical SupervisionCode0
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology0
Identify As A Human Does: A Pathfinder of Next-Generation Anti-Cheat Framework for First-Person Shooter Games0
Pathfinder for Low-altitude Aircraft with Binary Neural NetworkCode0
pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy0
PathFinder: Attention-Driven Dynamic Non-Line-of-Sight Tracking with a Mobile Robot0
RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey0
Classification of compact radio sources in the Galactic plane with supervised machine learning0
Deep Learning for Gamma-Ray Bursts: A data driven event framework for X/Gamma-Ray analysis in space telescopesCode1
Investigating the Performance and Reliability, of the Q-Learning Algorithm in Various Unknown EnvironmentsCode0
PathFinder: Guided Search over Multi-Step Reasoning Paths0
RadioGalaxyNET: Dataset and Novel Computer Vision Algorithms for the Detection of Extended Radio Galaxies and Infrared HostsCode0
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels0
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single CameraCode0
Deep Learning for Morphological Identification of Extended Radio Galaxies using Weak LabelsCode0
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon TasksCode1
Trustless Price Feeds of Cryptocurrencies: Pathfinder0
Searching for long faint astronomical high energy transients: a data driven approachCode1
Solar Wind Speed Estimate with Machine Learning Ensemble Models for LISA0
Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic EventsCode1
PathFinder: Discovering Decision Pathways in Deep Neural Networks0
Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder0
Simplified State Space Layers for Sequence ModelingCode2
Updater-Extractor Architecture for Inductive World State Representations0
Pathfinder: Parallel quasi-Newton variational inferenceCode1
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