Aditya Shankar

14 papers A* 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion.
CoRR
Aditya Shankar, Yuandou Wang, Rihan Hai, Lydia Y. Chen
2026 J jnl
TMPDiff: Temporal Mixed-Precision for Diffusion Models.
CoRR
Basile Lewandowski, Simon Kurz, Aditya Shankar, Robert Birke, Jian-Jia Chen, Lydia Y. Chen
2025 — conf
Federated Time Series Generation on Feature and Temporally Misaligned Data.
ECML/PKDD (2)
Zhi Wen Soi, Chenrui Fan, Aditya Shankar, Abel Malan, Lydia Y. Chen
2025 — conf
Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning.
ARES (1)
Aditya Shankar, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai, Lydia Y. Chen
2025 J jnl
TimeWak: Temporal Chained-Hashing Watermark for Time Series Data.
CoRR
Zhi Wen Soi, Chaoyi Zhu, Fouad Abiad, Aditya Shankar, Jeroen M. Galjaard, Huijuan Wang, Lydia Y. Chen
2025 J jnl
WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models.
Proc. ACM Manag. Data
Aditya Shankar, Lydia Yiyu Chen, Arie van Deursen, Rihan Hai
2025 J jnl
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models.
CoRR
Aditya Shankar, Lydia Y. Chen, Arie van Deursen, Rihan Hai
2024 J jnl
FRN: Fusion and recalibration network for low-light image enhancement.
Multim. Tools Appl.
Kavinder Singh, Ashutosh Pandey, Akshat Agarwal, Mohit Kumar Agarwal, Aditya Shankar, Anil Singh Parihar
2024 J jnl
Federated Time Series Generation on Feature and Temporally Misaligned Data.
CoRR
Chenrui Fan, Zhi Wen Soi, Aditya Shankar, Abele Malan, Lydia Y. Chen
2024 J jnl
Parameterizing Federated Continual Learning for Reproducible Research.
CoRR
Bart Cox, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen
2024 A* conf
S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models.
ICDE
Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen
2024 J jnl
Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning.
CoRR
Aditya Shankar, Lydia Y. Chen, Jérémie Decouchant, Dimitra Gkorou, Rihan Hai
2024 J jnl
SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models.
CoRR
Aditya Shankar, Hans Brouwer, Rihan Hai, Lydia Y. Chen
2023 — conf
Parameterizing Federated Continual Learning for Reproducible Research.
PKDD/ECML Workshops (5)
Bart Cox, Jeroen Galjaard, Aditya Shankar, Jérémie Decouchant, Lydia Y. Chen