Duffield, Nick
- Bayesian Graph Neural Networks with Adaptive Connection Sampling
2020/06/07 by Arman Hasanzadeh, Hasanzadeh, Arman, Ehsan Hajiramezanali +11 · 10 citations
Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Variational Graph Recurrent Neural Networks
2019/08/26 by Ehsan Hajiramezanali, Arman Hasanzadeh, Hajiramezanali, Ehsan +9 · 10 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Topic Modeling
- Graph Sample and Hold: A Framework for Big-Graph Analytics
2014/03/16 by Nesreen K. Ahmed, Nick Duffield, Ahmed, Nesreen K. +5 · 9 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Applications (stat.AP) #Complex Network Analysis Techniques #Databases (cs.DB) #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Software System Performance and Reliability
- Semi-Implicit Graph Variational Auto-Encoders
2019/08/19 by Arman Hasanzadeh, Hasanzadeh, Arman, Ehsan Hajiramezanali +9 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Genomics and Chromatin Dynamics #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- On Sampling from Massive Graph Streams
2017/03/07 by Nesreen K. Ahmed, Nick Duffield, Ahmed, Nesreen K. +5 · 3 citations
Computer Science · #Advanced Graph Neural Networks #Anomaly Detection Techniques and Applications #Data Stream Mining Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Information Retrieval (cs.IR) #Social and Information Networks (cs.SI) #Statistics Theory (math.ST)
- Near-Optimal Disjoint-Path Facility Location Through Set Cover by Pairs
2016/11/03 by Johnson, David S., Breslau, Lee, Diakonikolas, Ilias +6 · 1 citation
#68M10 #90C59 #94C15 #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences
- Adaptive Conditional Quantile Neural Processes
2023/05/30 by Peiman Mohseni, Nick Duffield, Mohseni, Peiman +5 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Sampling to estimate arbitrary subset sums
2005/09/09 by Nick Duffield, Carsten Lund, Duffield, Nick +3 · 2 citations
Computer Science · #Algorithms and Data Compression #C.2.3 #Data Management and Algorithms #Data Structures and Algorithms (cs.DS) #E.1 #F.2 #FOS: Computer and information sciences #G.3 #H.3 #Optimization and Search Problems #cs.DS
- Towards Invariant Time Series Forecasting in Smart Cities
2024/05/08 by Ziyi Zhang, Shaogang Ren, Zhang, Ziyi +5 · 1 citation
Computer Science · Economics, Econometrics and Finance · Engineering · #Complex Systems and Time Series Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting #Traffic Prediction and Management Techniques
- InvarGC: Invariant Granger Causality for Heterogeneous Interventional Time Series under Latent Confounding
2025/10/22 by Ziyi Zhang, Shaogang Ren, Zhang, Ziyi +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Time Series Analysis and Forecasting