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Martin Mundt

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

20

Venues

15

Active years

2016–2025

Best venue rank

A*

Where they publish

Papers

20 indexed papers, newest first.

YearVenueTitleAuthors
2025ICCVCore Tokensets for Data-Efficient Sequential Training of Transformers.Subarnaduti Paul, Manuel Brack, Patrick Schramowski, Kristian Kersting, Martin Mundt
2025ICMLWhere is the Truth? The Risk of Getting Confounded in a Continual World.Florian Peter Busch, Roshni Ramanna Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt
2025SMCThree-Touch: A Manual Overlaying Technique for Augmented Content.Martin Mundt, Johannes Klckner, Leonie Seynsche, Tintu Mathew
2025UAIScaling Probabilistic Circuits via Data Partitioning.Jonas Seng, Florian Peter Busch, Pooja Prasad, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
2024AISTATSDeep Classifier Mimicry without Data Access.Steven Braun, Martin Mundt, Kristian Kersting
2024ICLRAdaptive Rational Activations to Boost Deep Reinforcement Learning.Quentin Delfosse, Patrick Schramowski, Martin Mundt, Alejandro Molina, Kristian Kersting
2024MICCAIDistribution-Aware Replay for Continual MRI Segmentation.Nick Lemke, Camila Gonzlez, Anirban Mukhopadhyay, Martin Mundt
2024WACVDesigning a Hybrid Neural System to Learn Real-world Crack Segmentation from Fractal-based Simulation.Achref Jaziri, Martin Mundt, Andres Fernandez Rodriguez, Visvanathan Ramesh
2023AAAIContinual Causality: A Retrospective of the Inaugural AAAI-23 Bridge Program.Martin Mundt, Keiland W. Cooper, Devendra Singh Dhami, Adle H. Ribeiro, James Seale Smith, Alexis Bellot, Tyler L. Hayes
2023BTWBenchmarking the Second Generation of Intel SGX for Machine Learning Workloads.Adrian Lutsch, Gagandeep Singh, Martin Mundt, Ragnar Mogk, Carsten Binnig
2023UAIProbabilistic circuits that know what they don't know.Fabrizio Ventola, Steven Braun, Zhongjie Yu, Martin Mundt, Kristian Kersting
2022ECCVWhen Deep Classifiers Agree: Analyzing Correlations Between Learning Order and Image Statistics.Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh
2022ICLRCLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability.Martin Mundt, Steven Lang, Quentin Delfosse, Kristian Kersting
2022UAIPredictive Whittle networks for time series.Zhongjie Yu, Fabrizio Ventola, Nils Thoma, Devendra Singh Dhami, Martin Mundt, Kristian Kersting
2021CVPRAvalanche: An End-to-End Library for Continual Learning.Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
2021CVPRNeural Architecture Search of Deep Priors: Towards Continual Learning Without Catastrophic Interference.Martin Mundt, Iuliia Pliushch, Visvanathan Ramesh
2020NordiCHIAn Evaluation of Pie Menus for System Control in Virtual Reality.Martin Mundt, Tintu Mathew
2019CVPRMeta-Learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification With the COncrete DEfect BRidge IMage Dataset.Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
2017RoboCupLarge-Scale Stochastic Scene Generation and Semantic Annotation for Deep Convolutional Neural Network Training in the RoboCup SPL.Timm Hess, Martin Mundt, Tobias Weis, Visvanathan Ramesh
2016ESANNFeature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics.Martin Mundt, Sebastian Blaes, Thomas Burwick