Sotabase

Career

· Postdoctoral Researcher, UC Berkeley, Redwood Center for Theoretical Neuroscience2024–
· Team Lead - Theory, Science Corporation2023–2024
· Postdoctoral Researcher, University of California, Santa Barbara (UCSB)2022–2023

Publications (45)

Efficient Neuromorphic Signal Processing with Loihi 2
IEEE Workshop on Signal Processing Systems · 2021
248
cited
What Do You Mean, No? Toddlers’ Comprehension of Logical “No” and “Not”
2017
52
cited
Children’s representation of abstract relations in relational/array match-to-sample tasks
Cognitive Psychology · 2017
47
cited
Architectures of Topological Deep Learning: A Survey on Topological Neural Networks
arXiv.org · 2023
43
cited
Efficient Neuromorphic Signal Processing with Resonator Neurons
Journal of Signal Processing Systems · 2022
27
cited
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks
Annual Conference Computational Learning Theory · 2023
20
cited
Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures
Machine Learning: Science and Technology · 2024
17
cited
Bispectral Neural Networks
International Conference on Learning Representations · 2022
16
cited
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
arXiv.org · 2022
15
cited
Learning How to Generalize
Cognitive Sciences · 2019
12
cited
Mixed-membership community detection via line graph curvature
NeurReps · 2022
11
cited
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems
arXiv.org · 2023
10
cited
Quantifying Extrinsic Curvature in Neural Manifolds
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2022
9
cited
Representational efficiency outweighs action efficiency in human program induction
Annual Meeting of the Cognitive Science Society · 2018
8
cited
Human Priors in Hierarchical Program Induction
2018
6
cited
ICML 2023 Topological Deep Learning Challenge : Design and Results
TAG-ML · 2023
5
cited
A General Framework for Robust G-Invariance in G-Equivariant Networks
Neural Information Processing Systems · 2023
4
cited
Quantifying information content in data compression using the autocorrelation function
IEEE Signal Processing Letters · 2005
4
cited
The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks
Neural Information Processing Systems · 2024
3
cited
Barron’s Theorem for Equivariant Networks
2022
2
cited
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Sophia Sanborn | Researcher Profile | Sotabase | Sotabase