David Rolnick
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
7
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models. | Catherine Villeneuve, Benjamin Akera, Mlisande Teng, David Rolnick |
| 2025 | AAAI | FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring. | Nikolaos-Ioannis Bountos, Arthur Ouaknine, Ioannis Papoutsis, David Rolnick |
| 2025 | CVPR | Task-Informed Meta-Learning for Remote Sensing. | Gabriel Tseng, Hannah Kerner, David Rolnick |
| 2025 | ICML | The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions. | Gl Sena Altintas, Devin Kwok, Colin Raffel, David Rolnick |
| 2025 | ICML | Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal. | Christina Butsko, Gabriel Tseng, Kristof Van Tricht, Giorgia Milli, David Rolnick, Ruben Cartuyvels, Inbal Becker-Reshef, Zoltan Szantoi, Hannah Kerner |
| 2025 | ICML | Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery. | Pratinav Seth, Michelle P. Lin, Brefo Yaw Dwamena, Jade Boutot, Mary Kang, David Rolnick |
| 2025 | ICML | Galileo: Learning Global & Local Features of Many Remote Sensing Modalities. | Gabriel Tseng, Anthony Fuller, Marlena Reil, Henry Herzog, Patrick Beukema, Favyen Bastani, James R. Green, Evan Shelhamer, Hannah Kerner, David Rolnick |
| 2024 | ECCV | Insect Identification in the Wild: The AMI Dataset. | Aditya Jain, Fagner Cunha, Michael James Bunsen, Juan Sebastin Caas, Lonard Pasi, Nathan Pinoy, Flemming Helsing, JoAnne Russo, Marc Botham, Michael Sabourin, Jonathan Frchette, Alexandre Anctil, Yacksecari Lopez, Eduardo Navarro, Filonila Perez Pimentel, Ana Cecilia Zamora, Jos Alejandro Ramirez Silva, Jonathan Gagnon, Tom A. August, Kim Bjerge, Alba Gomez Segura, Marc Blisle, Yves Basset, Kent P. McFarland, David Roy, Toke Thomas Hye, Maxim Larrive, David Rolnick |
| 2024 | ICML | Stealing part of a production language model. | Nicholas Carlini, Daniel Paleka, Krishnamurthy Dj Dvijotham, Thomas Steinke, Jonathan Hayase, A. Feder Cooper, Katherine Lee, Matthew Jagielski, Milad Nasr, Arthur Conmy, Eric Wallace, David Rolnick, Florian Tramr |
| 2024 | ICML | Position: Application-Driven Innovation in Machine Learning. | David Rolnick, Aln Aspuru-Guzik, Sara Beery, Bistra Dilkina, Priya L. Donti, Marzyeh Ghassemi, Hannah Kerner, Claire Monteleoni, Esther Rolf, Milind Tambe, Adam White |
| 2023 | AAAI | Bugs in the Data: How ImageNet Misrepresents Biodiversity. | Alexandra Sasha Luccioni, David Rolnick |
| 2023 | ICML | FAENet: Frame Averaging Equivariant GNN for Materials Modeling. | Alexandre Duval, Victor Schmidt, Alex Hernndez-Garca, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick |
| 2023 | ICML | Hidden Symmetries of ReLU Networks. | J. Elisenda Grigsby, Kathryn Lindsey, David Rolnick |
| 2023 | ICML | Maximal Initial Learning Rates in Deep ReLU Networks. | Gaurav Iyer, Boris Hanin, David Rolnick |
| 2022 | ICLR | Deep ReLU Networks Preserve Expected Length. | Boris Hanin, Ryan S. Jeong, David Rolnick |
| 2021 | ICLR | DC3: A learning method for optimization with hard constraints. | Priya L. Donti, David Rolnick, J. Zico Kolter |
| 2020 | ICML | Reverse-engineering deep ReLU networks. | David Rolnick, Konrad P. Kording |
| 2019 | CVPR | Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics. | Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Nir Shavit |
| 2019 | ICLR | Measuring and regularizing networks in function space. | Ari S. Benjamin, David Rolnick, Konrad P. Krding |
| 2019 | ICML | Complexity of Linear Regions in Deep Networks. | Boris Hanin, David Rolnick |
| 2019 | KDD | Randomized Experimental Design via Geographic Clustering. | David Rolnick, Kevin Aydin, Jean Pouget-Abadie, Shahab Kamali, Vahab S. Mirrokni, Amir Najmi |
| 2018 | ICLR | The power of deeper networks for expressing natural functions. | David Rolnick, Max Tegmark |
| 2015 | ISSAC | Graph-Coloring Ideals: Nullstellensatz Certificates, Grbner Bases for Chordal Graphs, and Hardness of Grbner Bases. | Jess A. De Loera, Susan Margulies, Michael Pernpeintner, Eric Riedl, David Rolnick, Gwen Spencer, Despina Stasi, Jon Swenson |