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• Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
  2021 · 76 citations
• Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)
  2021 · 14 citations
• Can Physics-Informed Neural Networks beat the Finite Element Method?
  2023 · 11 citations
• Conditional Image Generation with Score-Based Diffusion Models
  2021 · 8 citations
• Non-Uniform Diffusion Models
  2022 · 4 citations
• Recent Methodological Advances in Federated Learning for Healthcare
  2023 · 3 citations
• Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
  2024 · 1 citations
• Traffic Video Object Detection using Motion Prior
  2023 · 1 citations
• On The Temporal Domain of Differential Equation Inspired Graph Neural Networks
  2024 · 1 citations
• GRANOLA: Adaptive Normalization for Graph Neural Networks
  2024 · 1 citations
• DiGRAF: Diffeomorphic Graph-Adaptive Activation Function
  2024 · 1 citations
• FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
  2025
• Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research
  2026
• Training-Free Dual Hyperbolic Adapters for Better Cross-Modal Reasoning
  2025
• Graph Neural Regularizers for PDE Inverse Problems
  2025