Maximilian Beck

Orcid: 0009-0005-7449-6189

According to our database1, Maximilian Beck authored at least 17 papers between 2022 and 2026.

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Timeline

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Bibliography

2026
Production-Optimized Automotive Software Architecture: Theory and Applications.
IEEE Trans. Ind. Informatics, May, 2026

Effective Distillation to Hybrid xLSTM Architectures.
CoRR, March, 2026

Towards a Neural Debugger for Python.
CoRR, March, 2026

2025
CWM: An Open-Weights LLM for Research on Code Generation with World Models.
CoRR, October, 2025

xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity.
CoRR, October, 2025

Short window attention enables long-term memorization.
CoRR, September, 2025

PointMapPolicy: Structured Point Cloud Processing for Multi-Modal Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Vision-LSTM: xLSTM as Generic Vision Backbone.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
FlashRNN: Optimizing Traditional RNNs on Modern Hardware.
CoRR, 2024

xLSTM: Extended Long Short-Term Memory.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Artificial Intelligence for Cybersecurity.
IEEE Softw., 2023

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space.
Proceedings of the Conference on Lifelong Learning Agents, 2022


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