David Rolnick

1. Tackling Climate Change with Machine Learning
   2019/06/10 by David Rolnick, Priya L. Donti, Rolnick, David +41 · 15 voices · 21 citations
   #cs.CY #cs.AI #cs.LG #stat.ML
2. Why Does Deep and Cheap Learning Work So Well?
   2016/08/29 by Henry W. Lin, Max Tegmark, David Rolnick · 4 voices · 18 citations
   Computer Science · Physics and Astronomy · #Stochastic Gradient Optimization Techniques #Gaussian Processes and Bayesian Inference #Statistical Mechanics and Entropy
3. Stealing Part of a Production Language Model
   2024/03/11 by Nicholas Carlini, Carlini, Nicholas, Daniel Paleka +26 · 11 voices · 27 citations
   Computer Science · #Natural Language Processing Techniques #cs.CR
4. Experience Replay for Continual Learning
   2018/11/28 by David Rolnick, Arun Ahuja, Rolnick, David +7 · 101 citations
   Computer Science · Decision Sciences · #Domain Adaptation and Few-Shot Learning #Advanced Bandit Algorithms Research #Online Learning and Analytics
5. The power of deeper networks for expressing natural functions
   2017/05/16 by David Rolnick, Rolnick, David, Max Tegmark +1 · 3 voices · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #cs.LG #cs.NE #stat.ML
6. Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
   2023/04/27 by Gabriel Tseng, Tseng, Gabriel, Cartuyvels, Ruben +8 · 13 citations
   Computer Science · Earth and Planetary Sciences · #Distributed and Parallel Computing Systems #Environmental Monitoring and Data Management #Computational Physics and Python Applications
7. FAENet: Frame Averaging Equivariant GNN for Materials Modeling
   2023/04/28 by Alexandre Duval, Victor Schmidt, Duval, Alexandre +10 · 12 citations
   Computer Science · Materials Science · #Advanced Graph Neural Networks #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
8. Hard-Constrained Deep Learning for Climate Downscaling
   2022/08/08 by Paula Harder, Harder, Paula, Álex Hernández-García +13 · 9 citations
   Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
9. AI4SNOW SnowGalileo Datasets and Model Checkpoints
   2025/02/13 by Gabriel Tseng, Tseng, Gabriel, Anthony Fuller +17 · 3 voices · 6 citations
   Social Sciences · Computer Science · #Geographic Information Systems Studies #Advanced Computational Techniques and Applications #Data Management and Algorithms
10. Techniques for Symbol Grounding with SATNet
    2021/06/16 by Sever Topan, Topan, Sever, David Rolnick +3 · 3 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
    2023/05/23 by Qidong Yang, Álex Hernández-García, Yang, Qidong +13 · 4 citations
    Earth and Planetary Sciences · Computer Science · #Cryospheric studies and observations #Climate change and permafrost #Advanced Mathematical Modeling in Engineering
12. OpenForest: A data catalogue for machine learning in forest monitoring
    2023/11/01 by Arthur Ouaknine, Teja Kattenborn, Ouaknine, Arthur +5 · 3 citations
    Agricultural and Biological Sciences · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Forest Ecology and Biodiversity Studies #Remote Sensing and LiDAR Applications #Remote Sensing in Agriculture
13. Acyclic Subgraphs of Planar Digraphs
    2014/07/30 by Noah Golowich, Golowich, Noah, David Rolnick +1 · 1 citation
    Computer Science · Engineering · Mathematics · #Advanced Graph Theory Research #Combinatorics (math.CO) #FOS: Mathematics #Limits and Structures in Graph Theory #graph theory and CDMA systems
14. Deep ReLU Networks Preserve Expected Length
    2021/02/21 by Boris Hanin, Hanin, Boris, Ryan Jeong +3 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Neural Networks and Applications
15. Harnessing artificial intelligence to fill global shortfalls in biodiversity knowledge
    2025/02/20 by Laura J. Pollock, Justin Kitzes, Sara Beery +9 · 1 voice · 2 citations
    Environmental Science · #Conservation, Ecology, Wildlife Education #Species Distribution and Climate Change
16. Insect Identification in the Wild: The AMI Dataset
    2024/06/18 by Aditya Jain, Fagner Cunha, Jain, Aditya +53 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Environmental Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Identification and Quantification in Food #Insect and Arachnid Ecology and Behavior #Machine Learning (cs.LG) #Species Distribution and Climate Change
17. Maximal Initial Learning Rates in Deep ReLU Networks
    2022/12/14 by Gaurav Iyer, Iyer, Gaurav, Boris Hanin +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
18. PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design
    2022/11/22 by Alexandre Duval, Victor Schmidt, Duval, Alexandre +9 · 1 citation
    Materials Science · Computer Science · #Machine Learning in Materials Science #Catalytic Processes in Materials Science #Cloud Computing and Resource Management
19. Evaluating the transferability potential of deep learning models for climate downscaling
    2024/07/17 by Ayush Prasad, Prasad, Ayush, Paula Harder +11 · 2 citations
    Decision Sciences · Environmental Science · #demographic modeling and climate adaptation #Climate variability and models #Atmospheric and Environmental Gas Dynamics
20. Using Image-based AI for insect monitoring and conservation - InsectAI COST Action
    2025/02/10 by Tom August, Mario V. Balzan, Paul Bodesheim +44 · 1 voice · 1 citation
    Agricultural and Biological Sciences · Environmental Science · #Insect behavior and control techniques #Remote Sensing in Agriculture #Species Distribution and Climate Change
21. Climate Variable Downscaling with Conditional Normalizing Flows
    2024/05/31 by C. Winkler, Paula Harder, Winkler, Christina +3 · 1 citation
    Economics, Econometrics and Finance · Environmental Science · #Climate Change Policy and Economics #Environmental Impact and Sustainability
22. Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal
    2025/07/16 by Christina Butsko, Butsko, Christina, Kristof Van Tricht +15 · 1 citation
    Environmental Science · Social Sciences · Engineering · #Remote Sensing in Agriculture #Geographic Information Systems Studies #Remote-Sensing Image Classification