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David Rolnick

30 papers · 2018–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ ๐ŸŒ Conference Polyglot (7) ๐Ÿƒ Academic Marathon (7) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿงญ Keyword Pioneer ๐Ÿ Cross-Pollinator (7)
๐Ÿ Cross-Pollinator (7) ๐ŸŒˆ Renaissance Researcher (7) ๐Ÿ—บ๏ธ Taxonomy Completionist (48) ๐Ÿ‘‘ Triple Crown ๐Ÿ‘ฅ Mega-Team (28) ๐Ÿ† Keyword Champion (2) ๐Ÿ† Grand Slam ๐Ÿ’Ž Century Club (29) ๐Ÿ—ƒ๏ธ Keyword Collector (106) ๐Ÿ”ฅ Unstoppable (8) โšก Prolific Year (5) ๐Ÿš€ Conference Pioneer

Conferences

ICML (10) NIPS (8) ICLR (4) AAAI (3) JMLR (3) CVPR (1) ECCV (1)

Papers

BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models AAAI 2026 Galileo: Learning Global & Local Features of Many Remote Sensing Modalities ICML 2025 Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery ICML 2025 The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions ICML 2025 FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring AAAI 2025 Position: Application-Driven Innovation in Machine Learning ICML 2024 Insect Identification in the Wild: The AMI Dataset ECCV 2024 PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design JMLR 2024 Stealing part of a production language model ICML 2024 Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling JMLR 2024 Maximal Initial Learning Rates in Deep ReLU Networks ICML 2023 Hidden Symmetries of ReLU Networks ICML 2023 ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning NIPS 2023 Normalization Layers Are All That Sharpness-Aware Minimization Needs NIPS 2023 SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science Data NIPS 2023 Bugs in the Data: How ImageNet Misrepresents Biodiversity AAAI 2023 Hard-Constrained Deep Learning for Climate Downscaling JMLR 2023 FAENet: Frame Averaging Equivariant GNN for Materials Modeling ICML 2023 Deep ReLU Networks Preserve Expected Length ICLR 2022 Understanding the Evolution of Linear Regions in Deep Reinforcement Learning NIPS 2022 Techniques for Symbol Grounding with SATNet NIPS 2021 DC3: A learning method for optimization with hard constraints ICLR 2021 Reverse-engineering deep ReLU networks ICML 2020 Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics CVPR 2019 Deep ReLU Networks Have Surprisingly Few Activation Patterns NIPS 2019 Complexity of Linear Regions in Deep Networks ICML 2019 Measuring and regularizing networks in function space ICLR 2019 Experience Replay for Continual Learning NIPS 2019 How to Start Training: The Effect of Initialization and Architecture NIPS 2018 The power of deeper networks for expressing natural functions ICLR 2018