Sotabase

Career

· CEO and Founder, Cartesia2023–
· B.Tech in Electrical Engineering and M.Tech in Information & Communication Technology, Indian Institute of Technology - Delhi (IITD)2018–2016
· PhD in Computer Science, Stanford University2018–2024
· Master's Degree in Machine Learning, Carnegie Mellon University2016–2018
· Researcher, Salesforce AI Research
· Research Scientist, Snorkel AI

Publications (47)

On the Opportunities and Risks of Foundation Models
arXiv.org · 2021
5,795
cited
Efficiently Modeling Long Sequences with Structured State Spaces
International Conference on Learning Representations · 2021
2,972
cited
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers
Neural Information Processing Systems · 2021
969
cited
On the Parameterization and Initialization of Diagonal State Space Models
Neural Information Processing Systems · 2022
489
cited
It's Raw! Audio Generation with State-Space Models
International Conference on Machine Learning · 2022
235
cited
S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces
Neural Information Processing Systems · 2022
225
cited
Robustness Gym: Unifying the NLP Evaluation Landscape
North American Chapter of the Association for Computational Linguistics · 2021
156
cited
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
International Conference on Learning Representations · 2020
129
cited
Mandoline: Model Evaluation under Distribution Shift
International Conference on Machine Learning · 2021
81
cited
Effectively Modeling Time Series with Simple Discrete State Spaces
International Conference on Learning Representations · 2023
71
cited
S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces
arXiv.org · 2022
53
cited
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization
Annual Meeting of the Association for Computational Linguistics · 2021
24
cited
Managing ML Pipelines: Feature Stores and the Coming Wave of Embedding Ecosystems
Proceedings of the VLDB Endowment · 2021
20
cited
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
International Conference on Learning Representations · 2018
16
cited
Personalized Benchmarking with the Ludwig Benchmarking Toolkit
NeurIPS Datasets and Benchmarks · 2021
11
cited
Octopus: A Framework for Cost-Quality-Time Optimization in Crowdsourcing
AAAI Conference on Human Computation & Crowdsourcing · 2017
9
cited
Sample Efficient Policy Search for Optimal Stopping Domains
International Joint Conference on Artificial Intelligence · 2017
8
cited
Data Management Opportunities for Foundation Models
Conference on Innovative Data Systems Research · 2022
7
cited
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems
North American Chapter of the Association for Computational Linguistics · 2021
6
cited
PLOTS: Procedure Learning from Observations using Subtask Structure
Adaptive Agents and Multi-Agent Systems · 2019
3
cited
Sotabase
Karan Goel | Researcher Profile | Sotabase | Sotabase