AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
- Giridhar Ganapavarapu
- Sumanta Mukherjee
- et al.
- 2023
- KDD 2023
Tutorial
Publications
16 results at KDD 2023
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders
- Dingsu Wang
- Yuchen Yan
- et al.
- 2023
- KDD 2023
Conference paperHierarchical Proxy Modeling for Improved HPO in Time Series Forecasting
- Arindam Jati
- Vijay Ekambaram
- et al.
- 2023
- KDD 2023
Conference paperIGB: Addressing the Gaps in Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research
- Arpandeep Khatua
- Vikram Sharma Mailthody
- et al.
- 2023
- KDD 2023
Conference paperThe Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles
- Md Shamim Hussain
- Mohammed J. Zaki
- et al.
- 2023
- KDD 2023
Conference paperGenerative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
- Tsuyoshi Idé
- Naoki Abe
- 2023
- KDD 2023
Conference paperTSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
- Vijay Ekambaram
- Arindam Jati
- et al.
- 2023
- KDD 2023
Conference paperIntegrating Chemical Language and Physicochemical Features for Enhanced Molecular Property Prediction with Multimodal Language Models
- Eduardo Almeida Soares
- Emilio Ashton Vital Brazil
- et al.
- 2023
- KDD 2023
Workshop paperChallenges in post-training quantization of Vision Transformers
- Piotr Sebastian Kluska
- Florian Scheidegger
- et al.
- 2023
- KDD 2023
Workshop paperKnowledge from Uncertainty in Evidential Deep Learning
- Cai Davies
- Marc Roig Vilamala
- et al.
- 2023
- KDD 2023
Workshop paper