Sotabase

Career

· Teaching Faculty, Columbia University in the City of New York2017–
· Adjunct Assistant Professor, Columbia University in the City of New York2015–2015
· Research Specialist, Janelia Research Campus, HHMI2013–2017
· Research Scientist, Amazon2012–2013
· Research Intern, Yahoo!2011–2011
· Research Intern, Qualcomm2008–2008
· Graduate Student Researcher, UC San Diego2005–2012
· Doctor of Philosophy (PhD), Computer Science, University of California, San Diego2005–2013
· Bachelor of Science (BS), Computer Science, University of California, San Diego2001–2004

Publications (40)

A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level
Proceedings of the National Academy of Sciences of the United States of America · 2021
176
cited
Learning hierarchical similarity metrics
2012 IEEE Conference on Computer Vision and Pattern Recognition · 2012
134
cited
Learning the structure of manifolds using random projections
Neural Information Processing Systems · 2007
134
cited
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics
ACM Conference on Economics and Computation · 2020
129
cited
CitiSense: improving geospatial environmental assessment of air quality using a wireless personal exposure monitoring system
Wireless Health · 2012
101
cited
Which Spatial Partition Trees are Adaptive to Intrinsic Dimension?
Conference on Uncertainty in Artificial Intelligence · 2009
85
cited
Noise-tolerant fair classification
Neural Information Processing Systems · 2019
79
cited
Multiple Instance Learning with Manifold Bags
International Conference on Machine Learning · 2011
46
cited
A Concentration Theorem for Projections
Conference on Uncertainty in Artificial Intelligence · 2006
41
cited
Sample Complexity of Learning Mahalanobis Distance Metrics
Neural Information Processing Systems · 2015
37
cited
Distance Preserving Embeddings for General n-Dimensional Manifolds
Annual Conference Computational Learning Theory · 2012
32
cited
Stochastic Neighbor Embedding under f-divergences
arXiv.org · 2018
23
cited
A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More
arXiv.org · 2021
20
cited
Solving Linear Algebra by Program Synthesis
arXiv.org · 2021
20
cited
Solving Probability and Statistics Problems by Program Synthesis
arXiv.org · 2021
15
cited
Complaint-Driven Training Data Debugging at Interactive Speeds
SIGMOD Conference · 2022
11
cited
An analysis of document graph construction methods for AMR summarization
arXiv.org · 2021
10
cited
Automated Symbolic Law Discovery: A Computer Vision Approach
AAAI Conference on Artificial Intelligence · 2021
10
cited
CitiSense ± Adaptive Services for Community-Driven Behavioral and Environmental Monitoring to Induce Change
2011
10
cited
Efficient energy management and data recovery in sensor networks using latent variables based tensor factorization
International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems · 2013
9
cited
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Nakul Verma | Researcher Profile | Sotabase | Sotabase