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Papers
Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies
AAAI 2026
Out-of-distribution robustness for multivariate analysis via causal regularisation
AISTATS 2025
Scalable and Adaptive Variational Bayes Methods for Hawkes Processes
JMLR 2025
Modelled Multivariate Overlap: A method for measuring vowel merger
Interspeech 2024
Nonparametric Copula Models for Multivariate, Mixed, and Missing Data
JMLR 2024
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models
CLeaR 2024
Influence-Aware Attention for Multivariate Temporal Point Processes
CLeaR 2023
Random Forests for Change Point Detection
JMLR 2023
SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification
AAAI 2023
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
AISTATS 2023
A Model for the Prediction of Lifetime Profit Estimate of Dairy Cattle (Student Abstract)
AAAI 2022
A Multivariate Causal Discovery based on Post-Nonlinear Model
CLeaR 2022
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression
ICML 2022
Deconvolutional Density Network: Modeling Free-Form Conditional Distributions
AAAI 2022
Locally private online change point detection
NeurIPS 2021
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case
ICLR 2020
Neural Likelihoods via Cumulative Distribution Functions
UAI 2020
The Potts-Ising model for discrete multivariate data
NeurIPS 2020
Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
JMLR 2020
Correspondence Analysis Using Neural Networks
AISTATS 2019
Cross-sectional Learning of Extremal Dependence among Financial Assets
NeurIPS 2019
Investigating the Variability of Voice Quality and Pain Levels as a Function of Multiple Clinical Parameters
Interspeech 2019
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
NeurIPS 2019
Analyzing EEG Signals in Auditory Speech Comprehension Using Temporal Response Functions and Generalized Additive Models
Interspeech 2018
Estimators for Multivariate Information Measures in General Probability Spaces
NeurIPS 2018