Audio phrases for audio event recognition. - Huy Phan; Lars Hertel; Marco Maaß; Radoslaw Mazur; Alfred Mertins (EUSIPCO, 2015)

Deep convolutional neural networks as generic feature extractors. - Lars Hertel; Erhardt Barth; Thomas Käster; Thomas Martinetz (IJCNN, 2015)

Representing nonspeech audio signals through speech classification models. - Huy Phan; Lars Hertel; Marco Maaß; Radoslaw Mazur; Alfred Mertins (INTERSPEECH, 2015)

A multi-channel fusion framework for audio event detection. - Huy Phan; Marco Maaß; Lars Hertel; Radoslaw Mazur; Alfred Mertins (WASPAA, 2015)

Learning compact structural representations for audio events using regressor banks. - Huy Phan; Marco Maaß; Lars Hertel; Radoslaw Mazur; Ian McLoughlin 001; Alfred Mertins (ICASSP, 2016)

Comparing time and frequency domain for audio event recognition using deep learning. - Lars Hertel; Huy Phan; Alfred Mertins (IJCNN, 2016)

Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks. - Huy Phan; Lars Hertel; Marco Maaß; Alfred Mertins (INTERSPEECH, 2016)

Label Tree Embeddings for Acoustic Scene Classification. - Huy Phan; Lars Hertel; Marco Maaß; Philipp Koch; Alfred Mertins (ACM Multimedia, 2016)

Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling. - Lars Hertel; Huy Phan; 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)

CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection. - Huy Phan; Lars Hertel; Marco Maaß; Philipp Koch; Alfred Mertins (CoRR, 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)

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 (ICASSP, 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)

Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning. - Lars Hertel; Pierre Baldi; Daniel L. Gillen (CoRR, 2020)

Sherpa: Robust hyperparameter optimization for machine learning. - Lars Hertel; Julian Collado; Peter J. Sadowski; Jordan Ott; Pierre Baldi (SoftwareX, 2020)

On Hyperparameter Optimization for Deep Learning. - Lars Hertel (2020)

Reproducible Hyperparameter Optimization. - Lars Hertel; Pierre Baldi; Daniel L. Gillen (J. Comput. Graph. Stat., 2022)

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; et al. (KDD, 2024)

Efficient user history modeling with amortized inference for deep learning recommendation models. - Lars Hertel; Neil Daftary; Fedor Borisyuk; Aman Gupta; Rahul Mazumder (CoRR, 2024)

From Features to Transformers: Redefining Ranking for Scalable Impact. - Fedor Borisyuk; Lars Hertel; Ganesh Parameswaran; Gaurav Srivastava 001; Sudarshan Srinivasa Ramanujam; Borja Ocejo; Peng Du; Andrei Akterskii; Neil Daftary; Shao Tang; Daqi Sun; Qiang Charles Xiao; et al. (CoRR, 2025)