Zhaozhi Qian

发表

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations

M. Schaar, A. Bellot, Nabeel Seedat, 2022, ICML.

Neural Laplace: Learning diverse classes of differential equations in the Laplace domain

M. Schaar, Zhaozhi Qian, S. Holt, 2022, ArXiv.

D-CODE: D ISCOVERING C LOSED - FORM ODE S FROM O BSERVED T RAJECTORIES

M. Schaar, Krzysztof Kacprzyk, Z. Qian, 2022 .

D-CIPHER: Discovery of Closed-form PDEs

M. Schaar, Krzysztof Kacprzyk, Zhaozhi Qian, 2022, ArXiv.

Neural Laplace: Learning diverse classes of differential equations in the Laplace domain

M. Schaar, Z. Qian, Zhaozhi Qian, 2022, ICML.

D-CIPHER: Discovery of Closed-form Partial Differential Equations

M. Schaar, Krzysztof Kacprzyk, Z. Qian, 2022, 2206.10586.

Ethnicity and Outcomes of COVID-19 Patients in England

M. Schaar, J. Rashbass, A. Alaa, 2020 .

Navigating causal deep learning

M. Schaar, Jeroen Berrevoets, Krzysztof Kacprzyk, 2022, ArXiv.

Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression pdf

Mihaela van der Schaar, William R. Zame, Zhaozhi Qian, 2021, NeurIPS.

Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis

Mihaela van der Schaar, Ahmed M. Alaa, James Jordon, 2021, ICML.

Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes

Ahmed M. Alaa, Mihaela van der Schaar, Zhaozhi Qian, 2020, AISTATS.

Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift

Mihaela van der Schaar, Ahmed M. Alaa, Alex J. Chan, 2020, ICML.

Weighted Distance-Based Models for Ranking Data Using the R Package rankdist

Philip L. H. Yu, Zhaozhi Qian, P. Yu, 2019, Journal of Statistical Software.

Estimating Multi-cause Treatment Effects via Single-cause Perturbation

M. Schaar, A. Curth, Z. Qian, 2021, NeurIPS.

When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes pdf

Ahmed M. Alaa, Mihaela van der Schaar, Zhaozhi Qian, 2020, ArXiv.

When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes

Ahmed M. Alaa, Mihaela van der Schaar, Zhaozhi Qian, 2020, NeurIPS.

CPAS: the UK’s national machine learning-based hospital capacity planning system for COVID-19

Mihaela van der Schaar, Ahmed M. Alaa, Zhaozhi Qian, 2020, Machine Learning.

Explaining Latent Representations with a Corpus of Examples pdf

Mihaela van der Schaar, Fergus Imrie, Zhaozhi Qian, 2021, NeurIPS.

Causal Deep Learning

M. Schaar, Jeroen Berrevoets, Krzysztof Kacprzyk, 2023, ArXiv.

SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes

A. Wood, M. Schaar, Ioana Bica, 2021, NeurIPS.

Between-centre differences for COVID-19 ICU mortality from early data in England

M. van der Schaar, A. Ercole, A. Alaa, 2020, Intensive Care Medicine.

Clairvoyance: A Pipeline Toolkit for Medical Time Series

Mihaela van der Schaar, Jinsung Yoon, Ari Ercole, 2023, ICLR.

Neural Laplace Control for Continuous-time Delayed Systems

M. Schaar, Alihan Hüyük, Z. Qian, 2023, AISTATS.

Membership Inference Attacks against Synthetic Data through Overfitting Detection

M. Schaar, Z. Qian, Zhaozhi Qian, 2023, AISTATS.

Synthetic data for privacy-preserving clinical risk prediction

M. Schaar, N. Navani, B. Cebere, 2023, medRxiv.

D-CIPHER: Discovery of Closed-form Partial Differential Equations

M. Schaar, Krzysztof Kacprzyk, Z. Qian, 2022, 2206.10586.

D-CIPHER: Discovery of Closed-form PDEs

M. Schaar, Krzysztof Kacprzyk, Z. Qian, 2022, ArXiv.

MARS: Assisting Human with Information Processing Tasks Using Machine Learning

M. Schaar, Cong Shen, Alihan Hüyük, 2022, ACM Trans. Comput. Heal..

Learning Representations without Compositional Assumptions

Zhaozhi Qian, M. Schaar, Tennison Liu, 2023, ICML.

ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference

M. Schaar, Jeroen Berrevoets, Krzysztof Kacprzyk, 2024, 2403.10766.

Deep Generative Symbolic Regression

M. Schaar, Z. Qian, Zhaozhi Qian, 2023, ICLR.

When to Make and Break Commitments?

M. Schaar, Alihan Hüyük, Zhaozhi Qian, 2023, ICLR.

W HEN TO M AKE AND B REAK C OMMITMENTS ?

M. Schaar, Alihan Hüyük, Zhaozhi Qian, 2023 .

GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure

M. Schaar, Jeroen Berrevoets, Z. Qian, 2023, ICLR.

DAGnosis: Localized Identification of Data Inconsistencies using Structures

M. Schaar, Nabeel Seedat, Jeroen Berrevoets, 2024, ArXiv.

Synthetic data, real errors: how (not) to publish and use synthetic data

M. Schaar, Z. Qian, Zhaozhi Qian, 2023, ICML.

Retrospective cohort study of admission timing and mortality following COVID-19 infection in England

J. Rashbass, M. van der Schaar, A. Alaa, 2020, BMJ Open.

Modelling Competitive Sports: Bradley-Terry-Élő Models for Supervised and On-Line Learning of Paired Competition Outcomes pdf

Franz J. Király, Zhaozhi Qian, F. Király, 2017, ArXiv.

Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge pdf

Mihaela van der Schaar, Ioana Bica, Zhaozhi Qian, 2021, ACM Trans. Comput. Heal..

Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality

Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, 2024, Foundations and Trends® in Signal Processing.