Lars Hertel

According to our database, Lars Hertel authored at least 19 papers between 2015 and 2024.

Collaborative distances:

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

2024

LiRank: Industrial Large Scale Ranking Models at LinkedIn.

Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh

CoRR, 2024

2022

Reproducible Hyperparameter Optimization.

Lars Hertel, Pierre Baldi, Daniel L. Gillen

J. Comput. Graph. Stat., 2022

2020

On Hyperparameter Optimization for Deep Learning.

Lars Hertel

PhD thesis, 2020

Sherpa: Robust hyperparameter optimization for machine learning.

Lars Hertel, Julian Collado, Peter J. Sadowski, Jordan Ott, Pierre Baldi

SoftwareX, 2020

Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning.

Lars Hertel, Pierre Baldi, Daniel L. Gillen

CoRR, 2020

2017

Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks.

Huy Phan, Lars Hertel, Marco Maaß, Philipp Koch, Radoslaw Mazur, Alfred Mertins

IEEE ACM Trans. Audio Speech Lang. Process., 2017

CNN-LTE: A class of 1-X pooling convolutional neural networks on label tree embeddings for audio scene classification.

Huy Phan, Philipp Koch, Lars Hertel, Marco Maaß, Radoslaw Mazur, Alfred Mertins

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Learning Representations for Nonspeech Audio Events Through Their Similarities to Speech Patterns.

Huy Phan, Lars Hertel, Marco Maaß, Radoslaw Mazur, Alfred Mertins

IEEE ACM Trans. Audio Speech Lang. Process., 2016

CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection.

Huy Phan, Lars Hertel, Marco Maaß, Philipp Koch, Alfred Mertins

CoRR, 2016

CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition.

Huy Phan, Lars Hertel, Marco Maaß, Philipp Koch, Alfred Mertins

CoRR, 2016

Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling.

Lars Hertel, Huy Phan, Alfred Mertins

CoRR, 2016

Label Tree Embeddings for Acoustic Scene Classification.

Huy Phan, Lars Hertel, Marco Maaß, Philipp Koch, Alfred Mertins

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks.

Huy Phan, Lars Hertel, Marco Maaß, Alfred Mertins

Proceedings of the Interspeech 2016, 2016

Comparing time and frequency domain for audio event recognition using deep learning.

Lars Hertel, Huy Phan, Alfred Mertins

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning compact structural representations for audio events using regressor banks.

Huy Phan, Marco Maaß, Lars Hertel, Radoslaw Mazur, Ian McLoughlin, Alfred Mertins

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

A multi-channel fusion framework for audio event detection.

Huy Phan, Marco Maaß, Lars Hertel, Radoslaw Mazur, Alfred Mertins

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Representing nonspeech audio signals through speech classification models.

Huy Phan, Lars Hertel, Marco Maaß, Radoslaw Mazur, Alfred Mertins

Proceedings of the INTERSPEECH 2015, 2015

Deep convolutional neural networks as generic feature extractors.

Lars Hertel, Erhardt Barth, Thomas Käster, Thomas Martinetz

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Audio phrases for audio event recognition.

Huy Phan, Lars Hertel, Marco Maaß, Radoslaw Mazur, Alfred Mertins

Proceedings of the 23rd European Signal Processing Conference, 2015