Publications

1671 results for Machine Learning

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
- - Dingsu Wang
  - Yuchen Yan
  - et al.
- 2023
- KDD 2023
Conference paper
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
- - Arindam Jati
  - Vijay Ekambaram
  - et al.
- 2023
- KDD 2023
Conference paper
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
- - Tsuyoshi Idé
  - Naoki Abe
- 2023
- KDD 2023
Conference paper
Challenges in post-training quantization of Vision Transformers
- - Piotr Sebastian Kluska
  - Florian Scheidegger
  - et al.
- 2023
- KDD 2023
Workshop paper
The Tenth International Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD‘23)
- - Lingfei Wu
  - Jiliang Tang
  - et al.
- 2023
- KDD 2023
Workshop
Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond
- - Naoki Abe
  - Kathleen Buckingham
  - et al.
- 2023
- KDD 2023
Workshop
Graph Neural Networks: Foundation, Frontiers and Applications
- - Lingfei Wu
  - Peng Cui
  - et al.
- 2023
- KDD 2023
Tutorial
A process-level perspective of the impact of molecular force fields on the computational screening of MOFs for carbon capture
- - Conor Cleeton
  - Felipe Lopes de Oliveira
  - et al.
- 2023
- Energy and Environmental Science
Paper
Aligned Diffusion Schrödinger Bridges
- - Vignesh Ram Somnath
  - Maria Rodriguez Martinez
  - et al.
- 2023
- UAI 2023
Conference paper
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs
- - Tengfei Ma
  - Trong Nghia Hoang
  - et al.
- 2023
- UAI 2023
Conference paper