11.12.2023
![Teaser image to MCML at NeurIPS 2023](/images/conferences/neurips.jpg)
MCML at NeurIPS 2023
37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, December 10-16, 2023
We are happy to announce that MCML researchers are represented with 23 papers at NeurIPS 2023:
Sharp Bounds for Generalized Causal Sensitivity Analysis.
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SHAP-IQ: Unified Approximation of any-order Shapley Interactions.
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Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions.
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Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods.
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HoloNets: Spectral Convolutions do extend to Directed Graphs. (Workshop paper).
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ResolvNet: A Graph Convolutional Network with multi-scale Consistency. (Workshop paper).
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Learning Provably Robust Estimators for Inverse Problems via Jittering.
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GenTKG: Generative Forecasting on Temporal Knowledge Graph. (Workshop paper).
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From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL. (Workshop paper).
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Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.
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Modelling single-cell RNA-seq trajectories on a flat statistical manifold. (Workshop paper).
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SpatialSSL: Whole-Brain Spatial Transcriptomics in the Mouse Brain with Self-Supervised Learning. (Workshop paper).
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MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery.
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Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More.
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Reliable Off-Policy Learning for Dosage Combinations.
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Expressivity of Spiking Neural Networks through the Spike Response Model. (Workshop paper).
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Unpaired Multi-Domain Causal Representation Learning.
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CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs.
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LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation. (Workshop paper).
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11.12.2023
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