David Rolnick
31 papers · 2018–2026 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 17 separate collaboration groups - the largest holds only 26% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which David Rolnick?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Boris Hanin, Ryan Jeong, Gaurav Iyer
5 papers
· 2018–2023
· ICML, NeurIPS, ICLR
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Maximal Initial Learning Rates in Deep ReLU Networks
ICML 2023
Deep ReLU Networks Preserve Expected Length
ICLR 2022
Complexity of Linear Regions in Deep Networks
ICML 2019
Deep ReLU Networks Have Surprisingly Few Activation Patterns
NeurIPS 2019
How to Start Training: The Effect of Initialization and Architecture
NeurIPS 2018
13 papers whose co-authors appear nowhere else under this name
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
ICML 2025
FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring
AAAI 2025
The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions
ICML 2025
Insect Identification in the Wild: The AMI Dataset
ECCV 2024
Stealing part of a production language model
ICML 2024
Bugs in the Data: How ImageNet Misrepresents Biodiversity
AAAI 2023
Hidden Symmetries of ReLU Networks
ICML 2023
Normalization Layers Are All That Sharpness-Aware Minimization Needs
NeurIPS 2023
Understanding the Evolution of Linear Regions in Deep Reinforcement Learning
NeurIPS 2022
Techniques for Symbol Grounding with SATNet
NeurIPS 2021
Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics
CVPR 2019
Experience Replay for Continual Learning
NeurIPS 2019
The power of deeper networks for expressing natural functions
ICLR 2018