Sotabase

Career

· Software Engineer, Centene Corporation2024–

Publications (20)

Are Language Models Actually Useful for Time Series Forecasting?
Neural Information Processing Systems · 2024
176
cited
SPML: A DSL for Defending Language Models Against Prompt Attacks
arXiv.org · 2024
31
cited
Learning Temporal Point Processes with Intermittent Observations
International Conference on Artificial Intelligence and Statistics · 2021
26
cited
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer
ACM Transactions on Intelligent Systems and Technology · 2022
23
cited
ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences
Knowledge Discovery and Data Mining · 2022
18
cited
Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
AAAI Conference on Artificial Intelligence · 2022
15
cited
Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes
WISE · 2020
14
cited
Region Invariant Normalizing Flows for Mobility Transfer
International Conference on Information and Knowledge Management · 2021
14
cited
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes
ACM Transactions on Intelligent Systems and Technology · 2022
13
cited
Defending Language Models Against Image-Based Prompt Attacks via User-Provided Specifications
2024 IEEE Security and Privacy Workshops (SPW) · 2024
11
cited
Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs
IEEE Transactions on Big Data · 2022
4
cited
BERT Meets Relational DB: Contextual Representations of Relational Databases
arXiv.org · 2021
3
cited
Modeling Time-Series and Spatial Data for Recommendations and Other Applications
arXiv.org · 2022
2
cited
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing
ACM Transactions on Intelligent Systems and Technology · 2023
2
cited
Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases
COMAD/CODS · 2023
2
cited
Differentiable Adversarial Attacks for Marked Temporal Point Processes
AAAI Conference on Artificial Intelligence · 2025
1
cited
Learning Neural Models for Continuous-Time Sequences
arXiv.org · 2021
1
cited
Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event Traces
arXiv.org · 2020
1
cited
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows
ACM Transactions on Intelligent Systems and Technology · 2023
1
cited
A Neural Approach for Modeling Continuous Time Sequences with Intermittent Observations
2021
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Vinayak Gupta | Researcher Profile | Sotabase | Sotabase