Cornelius Weber

Cornelius Weber

Universität Hamburg

H-index: 27

Europe-Germany

About Cornelius Weber

Cornelius Weber, With an exceptional h-index of 27 and a recent h-index of 23 (since 2020), a distinguished researcher at Universität Hamburg, specializes in the field of neural networks, computational neuroscience, cognitive robotics.

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

Enabling action crossmodality for a pretrained large language model

Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer

Large Language Models for Orchestrating Bimanual Robots

Survey on reinforcement learning for language processing

Enhancing zero-shot chain-of-thought reasoning in large language models through logic

Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input

Whose emotion matters? Speaking activity localisation without prior knowledge

Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models

Cornelius Weber Information

University

Position

___

Citations(all)

3231

Citations(since 2020)

2036

Cited By

2026

hIndex(all)

27

hIndex(since 2020)

23

i10Index(all)

80

i10Index(since 2020)

48

Email

University Profile Page

Universität Hamburg

Google Scholar

View Google Scholar Profile

Cornelius Weber Skills & Research Interests

neural networks

computational neuroscience

cognitive robotics

Top articles of Cornelius Weber

Title

Journal

Author(s)

Publication Date

Enabling action crossmodality for a pretrained large language model

Natural Language Processing Journal

Anton Caesar

Ozan Özdemir

Cornelius Weber

Stefan Wermter

2024/4/20

Improving Speech Emotion Recognition with Unsupervised Speaking Style Transfer

Michael Neumann

Ngoc Thang Vu

2019/5/12

Large Language Models for Orchestrating Bimanual Robots

arXiv preprint arXiv:2404.02018

Kun Chu

Xufeng Zhao

Cornelius Weber

Mengdi Li

Wenhao Lu

...

2024/4/2

Survey on reinforcement learning for language processing

Victor Uc-Cetina

Nicolás Navarro-Guerrero

Anabel Martin-Gonzalez

Cornelius Weber

Stefan Wermter

2023/2

Enhancing zero-shot chain-of-thought reasoning in large language models through logic

arXiv preprint arXiv:2309.13339

Xufeng Zhao

Mengdi Li

Wenhao Lu

Cornelius Weber

Jae Hee Lee

...

2023/9/23

Learning Bidirectional Action-Language Translation with Limited Supervision and Testing with Incongruent Input

Applied Artificial Intelligence

Ozan Özdemir

Matthias Kerzel

Cornelius Weber

Jae Hee Lee

Muhammad Burhan Hafez

...

2023/2/22

Whose emotion matters? Speaking activity localisation without prior knowledge

Neurocomputing

Hugo Carneiro

Cornelius Weber

Stefan Wermter

2023/8/7

Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models

arXiv preprint arXiv:2311.02379

Kun Chu

Xufeng Zhao

Cornelius Weber

Mengdi Li

Stefan Wermter

2023/11/4

Internally rewarded reinforcement learning

Mengdi Li

Xufeng Zhao

Jae Hee Lee

Cornelius Weber

Stefan Wermter

2023/7/3

Disentangling prosody representations with unsupervised speech reconstruction

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Leyuan Qu

Taihao Li

Cornelius Weber

Theresa Pekarek-Rosin

Fuji Ren

...

2023/10/2

Visually grounded commonsense knowledge acquisition

Proceedings of the AAAI Conference on Artificial Intelligence

Yuan Yao

Tianyu Yu

Ao Zhang

Mengdi Li

Ruobing Xie

...

2023/6/26

Chat with the environment: Interactive multimodal perception using large language models

Xufeng Zhao

Mengdi Li

Cornelius Weber

Muhammad Burhan Hafez

Stefan Wermter

2023/10/1

Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition

Neural Networks

Leyuan Qu

Cornelius Weber

Stefan Wermter

2023/4/1

Sample-efficient real-time planning with curiosity cross-entropy method and contrastive learning

Mostafa Kotb

Cornelius Weber

Stefan Wermter

2023/10/1

Lipsound2: Self-supervised pre-training for lip-to-speech reconstruction and lip reading

IEEE transactions on neural networks and learning systems

Leyuan Qu

Cornelius Weber

Stefan Wermter

2022/7/22

More Diverse Training, Better Compositionality! Evidence from Multimodal Language Learning

Caspar Volquardsen

Jae Hee Lee

Cornelius Weber

Stefan Wermter

2022/9/6

Knowing Earlier what Right Means to You: A Comprehensive VQA Dataset for Grounding Relative Directions via Multi-Task Learning

arXiv preprint arXiv:2207.02624

Kyra Ahrens

Matthias Kerzel

Jae Hee Lee

Cornelius Weber

Stefan Wermter

2022/7/6

Learning flexible translation between robot actions and language descriptions

Ozan Özdemir

Matthias Kerzel

Cornelius Weber

Jae Hee Lee

Stefan Wermter

2022/9/6

Impact makes a sound and sound makes an impact: Sound guides representations and explorations

Xufeng Zhao

Cornelius Weber

Muhammad Burhan Hafez

Stefan Wermter

2022/10/23

What is right for me is not yet right for you: A dataset for grounding relative directions via multi-task learning

arXiv preprint arXiv:2205.02671

Jae Hee Lee

Matthias Kerzel

Kyra Ahrens

Cornelius Weber

Stefan Wermter

2022/5/5

See List of Professors in Cornelius Weber University(Universität Hamburg)