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·
Research Scientist
,
Databricks
2023–
·
PhD Student in Electrical Engineering and Computer Science
,
UC Berkeley
2017–2023
Publications
(19)
Inferring single-trial neural population dynamics using sequential auto-encoders
Nature Methods · 2017
709
cited
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
Computer Vision and Pattern Recognition · 2021
307
cited
Capacity and Trainability in Recurrent Neural Networks
International Conference on Learning Representations · 2016
213
cited
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
arXiv.org · 2023
23
cited
Protein Secondary Structure Prediction Using Deep Multi-scale Convolutional Neural Networks and Next-Step Conditioning
arXiv.org · 2016
20
cited
Towards Understanding How Machines Can Learn Causal Overhypotheses
Annual Meeting of the Cognitive Science Society · 2022
19
cited
Exploring Exploration: Comparing Children with RL Agents in Unified Environments
arXiv.org · 2020
17
cited
Learning Causal Overhypotheses through Exploration in Children and Computational Models
CLEaR · 2022
11
cited
GANmouflage: 3D Object Nondetection with Texture Fields
Computer Vision and Pattern Recognition · 2022
9
cited
Accelerating Training of Deep Neural Networks with a Standardization Loss
arXiv.org · 2019
3
cited
Automatically inferring task context for continual learning
2019 Conference on Cognitive Computational Neuroscience · 2019
2
cited
CA2T-Net: Category-Agnostic 3D Articulation Transfer from Single Image
arXiv.org · 2023
2
cited
Exploring Exploration: Comparing Children with Agents in Unified Exploration Environments
Annual Meeting of the Cognitive Science Society · 2020
2
cited
Sparse coding protects against adversarial attacks
1
cited
Three-Dimensional Object Completion in Humans and Computational Models
Annual Meeting of the Cognitive Science Society · 2022
1
cited
Pageantry: From Medieval to Modern
2018
Precise Estimates of Single-Trial Dynamics in Motor Cortex using Deep Learning Techniques
2017
Radicals Have Conquered the American University
2019
Using Deep Learning tools for fitting Reinforcement Learning Models
2022 Conference on Cognitive Computational Neuroscience · 2022
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Jasmine Collins | Researcher Profile | Sotabase | Sotabase