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Aditya Shankar
PhD Candidate
Aditya Shankar is a PhD candidate working on privacy-preserving and federated learning, and on synthetic data generation with diffusion models (SiloFuse, WaveStitch).
Publications
Harpoon: Generalised Manifold Guidance for Conditional Tabular Diffusion
ICLR 2026 PDF
QEC lake: Data Lake for AI-enhanced Quantum Error Correction
PVLDB 2026
WaveStitch: Flexible and Fast Conditional Time Series Generation With Diffusion Models
ACM SIGMOD 2026 DOI
Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning
ARES 2025 DOI
SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models
IEEE ICDE 2024 DOI
