Patrick Schwab
12 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (10)
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Cross-Pollinator
(10)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(23)
π
Grand Slam
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Keyword Champion
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Century Club
(11)
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Trend Setter
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Conference Pioneer
Conferences
AAAI (4)
AISTATS (2)
ICLR (2)
ICML (2)
CLEAR (1)
NIPS (1)
Top co-authors
Keywords
causal inference
(2)
feature importance
(2)
attention mechanism
(2)
representation learning
(1)
uncertainty quantification
(1)
multivariate time series
(1)
binary classification
(1)
electronic health record
(1)
deep learning
(1)
granger causality
(1)
time series classification
(1)
message passing
(1)
counterfactual reasoning
(1)
mixture of expert
(1)
treatment effect estimation
(1)
multitask learning
(1)
feature learning
(1)
treatment effect
(1)
observational datum
(1)
federated learning
(1)
Papers
Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling
AAAI 2026
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data
CLEAR 2025
Optimising Clinical Federated Learning through Mode Connectivity-based Model Aggregation
AISTATS 2025
Information Transfer Across Clinical Tasks via Adaptive Parameter Optimisation
AISTATS 2025
Deriving Causal Order from Single-Variable Interventions: Guarantees & Algorithm
ICLR 2025
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design
ICML 2023
GeneDisco: A Benchmark for Experimental Design in Drug Discovery
ICLR 2022
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves
AAAI 2020
PhoneMD: Learning to Diagnose Parkinsonβs Disease from Smartphone Data
AAAI 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty
NIPS 2019
Granger-Causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks
AAAI 2019
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
ICML 2018