L. Hertel

发表

Convolutional Neural Networks for Electron Neutrino and Electron Shower Energy Reconstruction in the NOvA Detectors

L. Hertel, 2017 .

Sherpa: Hyperparameter Optimization for Machine Learning Models

Lars Hertel, Pierre Baldi, Julian Collado, 2018 .

Volume IV. The DUNE far detector single-phase technology

Jorge S. Díaz, V. P. Luzio, J. I. Crespo-Anadón, 2020, Journal of Instrumentation.

Neutrino interaction classification with a convolutional neural network in the DUNE far detector

J. I. Crespo-Anad'on, V. P. Luzio, P. Baldi, 2020, Physical Review D.

Volume I. Introduction to DUNE

V. P. Luzio, J. I. Crespo-Anadón, P. Baldi, 2020, Journal of Instrumentation.

Convolutional neural networks for energy and vertex reconstruction in DUNE

L. Hertel, Julian Collado, I. Seong, 2019 .

First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform

V. P. Luzio, J. I. Crespo-Anadón, P. Baldi, 2020, Journal of Instrumentation.

Long-baseline neutrino oscillation physics potential of the DUNE experiment

J. I. Crespo-Anad'on, V. P. Luzio, P. Baldi, 2020, The European Physical Journal C.

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics

R. Hatcher, R. Illingworth, A. Rappoldi, 2020, 2002.03005.

Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment

J. I. Crespo-Anad'on, V. P. Luzio, P. Baldi, 2020, The European physical journal. C, Particles and fields.

Improved energy reconstruction in NOvA with regression convolutional neural networks

Lars Hertel, Pierre Baldi, P. Baldi, 2018, Physical Review D.

First results on ProtoDUNE-SP liquid argon time projection chamber performance from a beam test at the CERN Neutrino Platform

V. P. Luzio, J. I. Crespo-Anadón, P. Baldi, 2020, 2007.06722.

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume IV Far Detector Single-phase Technology

V. P. Luzio, J. I. Crespo-Anadón, P. Baldi, 2020, 2002.03010.

Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report

J. I. Crespo-Anad'on, V. P. Luzio, P. Baldi, 2021, Instruments.

Volume III. DUNE far detector technical coordination

Jorge S. Díaz, V. P. Luzio, J. I. Crespo-Anadón, 2020, Journal of Instrumentation.

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume III DUNE Far Detector Technical Coordination

V. P. Luzio, J. I. Crespo-Anadón, P. Baldi, 2020, 2002.03008.

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics

V. P. Luzio, J. I. Crespo-Anadón, P. Baldi, 2020, 2002.03005.

Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment

J. I. Crespo-Anad'on, V. P. Luzio, P. Baldi, 2020, The European Physical Journal. C, Particles and Fields.

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume II: DUNE Physics

V. P. Luzio, J. I. Crespo-Anadón, P. Baldi, 2020, 2002.03005.

Supernova Neutrino Burst Detection with the Deep Underground Neutrino Experiment

J. I. Crespo-Anad'on, V. P. Luzio, P. Baldi, 2020, 2008.06647.

Long-baseline neutrino oscillation physics potential of the DUNE experiment

J. I. Crespo-Anad'on, V. P. Luzio, P. Baldi, 2020, 2006.16043.

Deep Underground Neutrino Experiment (DUNE) Near Detector Conceptual Design Report

J. I. Crespo-Anad'on, V. P. Luzio, P. Baldi, 2021, 2103.13910.

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume I: Introduction to DUNE

V. P. Luzio, J. I. Crespo-Anadón, A. Aurisano, 2020, 2002.02967.

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

Huy Phan, Lars Hertel, Marco Maaß, 2016, INTERSPEECH.

A computational study of suppression of sharp wave ripple complexes by controlling calcium and gap junctions in pyramidal cells

L. Marshall, T. Martinetz, L. Hertel, 2021, Bioengineered.

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume IV Far Detector Single-phase Technology

V. P. Luzio, J. I. Crespo-Anadón, P. Baldi, 2020, 2002.03010.

Deep Underground Neutrino Experiment (DUNE), Far Detector Technical Design Report, Volume III DUNE Far Detector Technical Coordination

V. P. Luzio, J. I. Crespo-Anadón, P. Baldi, 2020, 2002.03008.

Approximate Inference for Deep Latent Gaussian Mixtures

Lars Hertel, Padhraic Smyth, Eric Nalisnick, 2016 .

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

Huy Phan, Lars Hertel, Alfred Mertins, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Searching for solar KDAR with DUNE

J. I. Crespo-Anad'on, V. P. Luzio, P. Baldi, 2021, 2107.09109.

Experiment Simulation Configurations Approximating DUNE TDR

J. I. Crespo-Anad'on, V. P. Luzio, P. Baldi, 2021, 2103.04797.

Deep convolutional neural networks as generic feature extractors

Thomas Martinetz, Lars Hertel, Erhardt Barth, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

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

Lars Hertel, Pierre Baldi, Daniel L. Gillen, 2020, ArXiv.

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

Huy Phan, Lars Hertel, Marco Maaß, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

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

Huy Phan, Lars Hertel, Marco Maaß, 2016, ArXiv.

Sherpa: Robust Hyperparameter Optimization for Machine Learning

Lars Hertel, Pierre Baldi, Jordan Ott, 2020, SoftwareX.

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

Huy Phan, Lars Hertel, Marco Maaß, 2016, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Label Tree Embeddings for Acoustic Scene Classification

Huy Phan, Lars Hertel, Marco Maaß, 2016, ACM Multimedia.

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

Huy Phan, Lars Hertel, Marco Maaß, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Learning compact structural representations for audio events using regressor banks

Huy Phan, Lars Hertel, Marco Maaß, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Audio phrases for audio event recognition

Huy Phan, Lars Hertel, Marco Maaß, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

A multi-channel fusion framework for audio event detection

Huy Phan, Lars Hertel, Marco Maaß, 2015, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).

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

Huy Phan, Lars Hertel, Alfred Mertins, 2016 .

Representing nonspeech audio signals through speech classification models

Huy Phan, Lars Hertel, Marco Maaß, 2015, INTERSPEECH.

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

Huy Phan, Lars Hertel, Alfred Mertins, 2016, ArXiv.

Long-baseline neutrino oscillation physics potential of the DUNE experiment

V. P. Luzio, A. Aurisano, F. Azfar, 2020, 2006.16043.

Volume I. Introduction to DUNE

V. P. Luzio, J. I. Crespo-Anadón, P. Baldi, 2020, Journal of Instrumentation.

Supernova Neutrino Burst Detection with the Deep Underground Neutrino Experiment

V. P. Luzio, A. Aurisano, F. Azfar, 2020, 2008.06647.