Mathias Lechner

About Mathias Lechner

Mathias Lechner, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Institute of Science and Technology Austria, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the Size and Approximation Error of Distilled Datasets

Compositional policy learning in stochastic control systems with formal guarantees

Gigastep-One Billion Steps per Second Multi-agent Reinforcement Learning

Revisiting the adversarial robustness-accuracy tradeoff in robot learning

Learning with Chemical versus Electrical Synapses--Does it Make a Difference?

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control

Learning provably stabilizing neural controllers for discrete-time stochastic systems

Towards Cooperative Flight Control Using Visual-Attention

Mathias Lechner Information

University

Position

___

Citations(all)

1003

Citations(since 2020)

997

Cited By

105

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Mathias Lechner Skills & Research Interests

Machine Learning

Top articles of Mathias Lechner

On the Size and Approximation Error of Distilled Datasets

Advances in Neural Information Processing Systems

2024/2/13

Compositional policy learning in stochastic control systems with formal guarantees

Advances in Neural Information Processing Systems

2024/2/13

Gigastep-One Billion Steps per Second Multi-agent Reinforcement Learning

Advances in Neural Information Processing Systems

2024/2/13

Revisiting the adversarial robustness-accuracy tradeoff in robot learning

IEEE Robotics and Automation Letters

2023/1/31

Learning with Chemical versus Electrical Synapses--Does it Make a Difference?

arXiv preprint arXiv:2401.08602

2023/11/21

Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control

2023/10/27

Learning provably stabilizing neural controllers for discrete-time stochastic systems

2023/10/22

Krishnendu Chatterjee
Krishnendu Chatterjee

H-Index: 43

Mathias Lechner
Mathias Lechner

H-Index: 6

Towards Cooperative Flight Control Using Visual-Attention

2023/10/1

Adversarial Training in Continuous-Time Models and Irregularly Sampled Time-Series

2023/8/7

Dataset distillation with convexified implicit gradients

2023/7/3

Quantization-aware interval bound propagation for training certifiably robust quantized neural networks

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Learning control policies for stochastic systems with reach-avoid guarantees

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Mathias Lechner
Mathias Lechner

H-Index: 6

Krishnendu Chatterjee
Krishnendu Chatterjee

H-Index: 43

Infrastructure-based End-to-End Learning and Prevention of Driver Failure

2023/5/29

On the Size and Approximation Error of Distilled Sets

arXiv preprint arXiv:2305.14113

2023/5/23

A learner-verifier framework for neural network controllers and certificates of stochastic systems

2023/4/22

Krishnendu Chatterjee
Krishnendu Chatterjee

H-Index: 43

Mathias Lechner
Mathias Lechner

H-Index: 6

Robust flight navigation out of distribution with liquid neural networks

Science Robotics

2023/4/19

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation

arXiv preprint arXiv:2302.01428

2023/2/2

Closed-form continuous-time neural networks

Nature Machine Intelligence

2022/11

PyHopper-A Plug-and-Play Hyperparameter Optimization Engine

2022/10/20

See List of Professors in Mathias Lechner University(Institute of Science and Technology Austria)

Co-Authors

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