Niki Kilbertus

papers

254

total citations

papers (11)

Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution

NEURIPS 2022arXiv

citations

Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes

ICLR 2025arXiv

citations

Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints

NEURIPS 2023arXiv

citations

Sparsity in Continuous-Depth Neural Networks

NEURIPS 2022arXiv

citations

Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity

AAAI 2025arXiv

citations

Generative Intervention Models for Causal Perturbation Modeling

ICML 2025arXiv

citations

Learning Representations of Instruments for Partial Identification of Treatment Effects

ICML 2025arXiv

citations

An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation

NEURIPS 2025arXiv

citations

Niki Kilbertus

papers (11)

Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution

ODEFormer: Symbolic Regression of Dynamical Systems with Transformers

A Class of Algorithms for General Instrumental Variable Models

On Component Interactions in Two-Stage Recommender Systems

Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes

Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints

Sparsity in Continuous-Depth Neural Networks

Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity

Generative Intervention Models for Causal Perturbation Modeling

Learning Representations of Instruments for Partial Identification of Treatment Effects

An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation

papers (11)

Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution

ODEFormer: Symbolic Regression of Dynamical Systems with Transformers

A Class of Algorithms for General Instrumental Variable Models

On Component Interactions in Two-Stage Recommender Systems

Signature Kernel Conditional Independence Tests in Causal Discovery for Stochastic Processes

Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints

Sparsity in Continuous-Depth Neural Networks

Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity

Generative Intervention Models for Causal Perturbation Modeling

Learning Representations of Instruments for Partial Identification of Treatment Effects

An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation