Connor Stone

2 papers · 2024–2025 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 👥 Mega-Team · Squad

Venues

ICLR (1) NeurIPS (1)

Top co-authors

Juan Rafael Martínez-Galarza (1) Nikolay Malkin (1) Benjamin M. Boyd (1) Jeroen Audenaert (1) Tom Hehir (1) Mike Walmsley (1) Ioana Ciucă (1) Helen Qu (1) Brian Cherinka (1) Laurence Perreault-Levasseur (1)

Research topics

Deep Learning (2) Machine Learning (2) Models (2) Artificial Intelligence (1) Computer Vision (1) Application Areas (1) Core AI (1) Domain-Specific (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

time series analysis (1) image classification (1) transfer learning (1) multimodal learning (1) remote sensing (1) time series (1) model comparison (1) generative model (1) foundation model (1) large-scale multimodal dataset (1) scientific astronomical data (1) multi-channel image (1) large-scale machine learning (1) hyperspectral image (1) probability mass (1) chi-squared test (1) hyperspectral imaging (1) scientific dataset (1) astronomical data (1) likelihood-free evaluation (1)

Papers

PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation ICLR 2025 The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data NeurIPS 2024