Marco Morik

According to our database, Marco Morik authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Enhancing Brain Source Reconstruction by Initializing 3-D Neural Networks With Physical Inverse Solutions.

Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima

IEEE Trans. Medical Imaging, January, 2026

Visual Disentangled Diffusion Autoencoders: Scalable Counterfactual Generation for Foundation Models.

Sidney Bender, Marco Morik

CoRR, January, 2026

Beyond the final layer: Attentive multilayer fusion for vision transformers.

Laure Ciernik, Marco Morik, Lukas Thede, Luca Eyring, Shinichi Nakajima, Zeynep Akata, Lukas Muttenthaler

CoRR, January, 2026

2025

Objective drives the consistency of representational similarity across datasets.

Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Deep Learning Meets Source Reconstruction.

Klaus-Robert Müller, Marco Morik

Proceedings of the 13th International Conference on Brain-Computer Interface, 2025

2024

Training objective drives the consistency of representational similarity across datasets.

Laure Ciernik, Lorenz Linhardt, Marco Morik, Jonas Dippel, Simon Kornblith, Lukas Muttenthaler

CoRR, 2024

Enhancing Brain Source Reconstruction through Physics-Informed 3D Neural Networks.

Marco Morik, Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima

CoRR, 2024

An Analysis of Human Alignment of Latent Diffusion Models.

Lorenz Linhardt, Marco Morik, Sidney Bender, Naima Elosegui Borras

CoRR, 2024

2021

Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract).

Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Controlling Fairness and Bias in Dynamic Learning-to-Rank.

Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

Listing All Maximal <i>k</i>-Plexes in Temporal Graphs.

Matthias Bentert, Anne-Sophie Himmel, Hendrik Molter, Marco Morik, Rolf Niedermeier, René Saitenmacher

ACM J. Exp. Algorithmics, 2019

The complexity of routing with collision avoidance.

Till Fluschnik, Marco Morik, Manuel Sorge

J. Comput. Syst. Sci., 2019

State Representation Learning with Robotic Priors for Partially Observable Environments.

Marco Morik, Divyam Rastogi, Rico Jonschkowski, Oliver Brock

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

Listing All Maximal k-Plexes in Temporal Graphs.

Matthias Bentert, Anne-Sophie Himmel, Hendrik Molter, Marco Morik, Rolf Niedermeier, René Saitenmacher

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

The Complexity of Routing with Few Collisions.

Till Fluschnik, Marco Morik, Manuel Sorge

Proceedings of the Fundamentals of Computation Theory - 21st International Symposium, 2017