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Learning Representations without Compositional Assumptions.

, , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 21388-21403. PMLR, (2023)

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Estimating Multi-cause Treatment Effects via Single-cause Perturbation., , and . NeurIPS, page 23754-23767. (2021)When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes., , and . NeurIPS, (2020)Neural Laplace: Learning diverse classes of differential equations in the Laplace domain., , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 8811-8832. PMLR, (2022)Synthcity: facilitating innovative use cases of synthetic data in different data modalities., , and . CoRR, (2023)Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality., , , and . Found. Trends Signal Process., 18 (3): 200-309 (2024)D-CODE: Discovering Closed-form ODEs from Observed Trajectories., , and . ICLR, OpenReview.net, (2022)Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 792-802. PMLR, (2021)DAGnosis: Localized Identification of Data Inconsistencies using Structures., , , , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1864-1872. PMLR, (2024)Adaptive Experiment Design with Synthetic Controls., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 1180-1188. PMLR, (2024)When to Make and Break Commitments?, , and . ICLR, OpenReview.net, (2023)