11.12.2023

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:

S. Chen, J. Gu, Z. Han, Y. Ma, P. Torr and V. Tresp.
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models.
URL. GitHub.

D. Frauen, V. Melnychuk and S. Feuerriegel.
Sharp Bounds for Generalized Causal Sensitivity Analysis.
URL.

F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier and B. Hammer.
SHAP-IQ: Unified Approximation of any-order Shapley Interactions.
URL.

M. Ghahremani Boozandani and C. Wachinger.
RegBN: Batch Normalization of Multimodal Data with Regularization.
URL. GitHub.

L. Gosch, S. Geisler, D. Sturm, B. Charpentier, D. Zügner and S. Günnemann.
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions.
URL.

T. Klug, D. Atik and R. Heckel.
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods.
URL.

C. Koke and D. Cremers.
HoloNets: Spectral Convolutions do extend to Directed Graphs. (Workshop paper).
URL.

C. Koke, A. Saroha, Y. Shen, M. Eisenberger and D. Cremers.
ResolvNet: A Graph Convolutional Network with multi-scale Consistency. (Workshop paper).
URL.

A. Krainovic, M. Soltanolkotabi and R. Heckel.
Learning Provably Robust Estimators for Inverse Problems via Jittering.
URL.

R. Liao, X. Jia, Y. Ma and V. Tresp.
GenTKG: Generative Forecasting on Temporal Knowledge Graph. (Workshop paper).
URL.

X. Li, E. Nie and S. Liang.
From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL. (Workshop paper).
URL.

S. Maskey, R. Paolino, A. Bacho and G. Kutyniok.
A Fractional Graph Laplacian Approach to Oversmoothing.
URL. GitHub.

V. Melnychuk, D. Frauen and S. Feuerriegel.
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.
URL.

A. Palma, S. Rybakov, L. Hetzel and F. J. Theis.
Modelling single-cell RNA-seq trajectories on a flat statistical manifold. (Workshop paper).
URL.

T. Richter, A. Schaar, F. Drummer, C.-W. Liao, L. Endres and F. J. Theis.
SpatialSSL: Whole-Brain Spatial Transcriptomics in the Mouse Brain with Self-Supervised Learning. (Workshop paper).
URL.

S. Scepanovic, I. Obadic, S. Joglekar, L. GIUSTARINI, C. Nattero, D. Quercia and X. Zhu.
MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery.
URL.

Y. Scholten, J. Schuchardt, A. Bojchevski and S. Stephan.
Hierarchical randomized smoothing.
URL.

J. Schuchardt, Y. Scholten and S. Günnemann.
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More.
URL.

J. Schweisthal, D. Frauen, V. Melnychuk and S. Feuerriegel.
Reliable Off-Policy Learning for Dosage Combinations.
URL.

M. Singh, A. Fono and G. Kutyniok.
Expressivity of Spiking Neural Networks through the Spike Response Model. (Workshop paper).
URL.

N. Sturma, C. Squires, M. Drton and C. Uhler.
Unpaired Multi-Domain Causal Representation Learning.
URL.

G. Zhai, E. P. Örnek, S.-C. Wu, Y. Di, F. Tombari, N. Navab and B. Busam.
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs.
URL.

S. Zhang, P. Wicke, L. K. Senel, L. Figueredo, A. Naceri, S. Haddadin, B. Plank and H. Schütze.
LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation. (Workshop paper).
URL.

11.12.2023

10.09.2024

MCML at ECML-PKDD 2024

We are happy to announce that MCML researchers are represented at ECML-PKDD 2024.

14.08.2024

MCML at ACL 2024

We are happy to announce that MCML researchers are represented at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

20.07.2024

MCML at ICML 2024

We are happy to announce that MCML researchers are represented at the 41st International Conference on Machine Learning (ICML 2024).

15.07.2024

MCML at UAI 2024

We are happy to announce that MCML researchers are represented at the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024).

14.06.2024

MCML at CVPR 2024

We are happy to announce that MCML researchers are represented at the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024.

MCML at NeurIPS 2023

37th Conference on Neural Information Processing Systems (NeurIPS 2023). New Orleans, LA, USA, December 10-16, 2023

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