Vinayak Gupta

Orcid: 0000-0002-2626-8852

According to our database1, Vinayak Gupta authored at least 25 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Tapestry of Time and Actions: Modeling Human Activity Sequences Using Temporal Point Process Flows.
ACM Trans. Intell. Syst. Technol., June, 2024

GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views.
CoRR, 2024

Are Language Models Actually Useful for Time Series Forecasting?
CoRR, 2024

SPML: A DSL for Defending Language Models Against Prompt Attacks.
CoRR, 2024

Defending Language Models Against Image-Based Prompt Attacks via User-Provided Specifications.
Proceedings of the IEEE Security and Privacy, 2024

U2NeRF: Unsupervised Underwater Image Restoration and Neural Radiance Fields.
Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Language Models Still Struggle to Zero-shot Reason about Time Series.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

GSN: Generalisable Segmentation in Neural Radiance Field.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Modeling Spatial Trajectories Using Coarse-Grained Smartphone Logs.
IEEE Trans. Big Data, April, 2023

Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing.
CoRR, 2023

Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022
Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes.
ACM Trans. Intell. Syst. Technol., 2022

Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer.
ACM Trans. Intell. Syst. Technol., 2022

Modeling Time-Series and Spatial Data for Recommendations and Other Applications.
CoRR, 2022

ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Detection and Diagnosis of Skin Diseases Using Residual Neural Networks (RESNET).
Int. J. Image Graph., 2021

Learning Neural Models for Continuous-Time Sequences.
CoRR, 2021

BERT Meets Relational DB: Contextual Representations of Relational Databases.
CoRR, 2021

Neural Network Based Intelligent Traffic System.
Proceedings of the 2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2021

Region Invariant Normalizing Flows for Mobility Transfer.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning Temporal Point Processes with Intermittent Observations.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Modeling Implicit Communities using Spatio-Temporal Point Processes from Geo-tagged Event Traces.
CoRR, 2020

Modeling Implicit Communities from Geo-Tagged Event Traces Using Spatio-Temporal Point Processes.
Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

2017
LBRR: Load Balanced Ring Routing Protocol for Heterogeneous Sensor Networks with Sink Mobility.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017


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