Aditya Shankar

According to our database, Aditya Shankar authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Detecting Diffusion-Generated Time Series Under Generator Shift.

Zhi Wen Soi, Aditya Shankar, Gert Lek, Abele Malan, Daniel Neider, Jian-Jia Chen, Lydia Y. Chen

CoRR, May, 2026

TMPDiff: Temporal Mixed-Precision for Diffusion Models.

Basile Lewandowski, Simon Kurz, Aditya Shankar, Robert Birke, Jian-Jia Chen, Lydia Y. Chen

CoRR, March, 2026

Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion.

Aditya Shankar, Yuandou Wang, Rihan Hai, Lydia Y. Chen

CoRR, February, 2026

2025

WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models.

Aditya Shankar, Lydia Yiyu Chen, Arie van Deursen, Rihan Hai

Proc. ACM Manag. Data, 2025

Federated Time Series Generation on Feature and Temporally Misaligned Data.

Zhi Wen Soi, Chenrui Fan, Aditya Shankar, Abel Malan, Lydia Y. Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

TimeWak: Temporal Chained-Hashing Watermark for Time Series Data.

Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad, Aditya Shankar, Jeroen Galjaard, Huijuan Wang, Lydia Y. Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning.

Aditya Shankar, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai, Lydia Y. Chen

Proceedings of the Availability, Reliability and Security - 20th International Conference, 2025

2024

FRN: Fusion and recalibration network for low-light image enhancement.

Kavinder Singh, Ashutosh Pandey, Akshat Agarwal, Mohit Kumar Agarwal, Aditya Shankar, Anil Singh Parihar

Multim. Tools Appl., January, 2024

Federated Time Series Generation on Feature and Temporally Misaligned Data.

Chenrui Fan, Zhi Wen Soi, Aditya Shankar, Abele Malan, Lydia Y. Chen

CoRR, 2024

Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning.

Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai

CoRR, 2024

SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models.

Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen

CoRR, 2024

S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models.

Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Parameterizing Federated Continual Learning for Reproducible Research.

Bart Cox, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023