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Author search results
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- Alexander Lerch 0001
aka: Alex Lerch 0001
Georgia Institute of Technology, Center for Music Technology, Atlanta, USA - Alexander Lerch 0002
FameL GmbH, Seiersberg, Austria
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Publication search results
found 164 matches
- 2024
- Alexander Lercher, Johann Glock, Christian Macho, Martin Pinzger:
Microservice API Evolution in Practice: A Study on Strategies and Challenges. J. Syst. Softw. 215: 112110 (2024) - Dongyang Li, Lei Wang, Li Li, Weian Guo, Qidi Wu, Alexander Lerch:
A Large-Scale Multiobjective Particle Swarm Optimizer With Enhanced Balance of Convergence and Diversity. IEEE Trans. Cybern. 54(3): 1596-1607 (2024) - Chaeyeon Han, Pavan Seshadri, Yiwei Ding, Noah Posner, Bon-Woo Koo, Animesh Agrawal, Alexander Lerch, Subhrajit Guhathakurta:
Understanding pedestrian movement using urban sensing technologies: the promise of audio-based sensors. Urban Inform. 3(1): 22 (2024) - Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner:
SODA: Bottleneck Diffusion Models for Representation Learning. CVPR 2024: 23115-23127 - Yiwei Ding, Alexander Lerch:
Embedding Compression for Teacher-to-Student Knowledge Transfer. ICASSP Workshops 2024: 403-407 - Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo, Noah Posner, Subhrajit Guhathakurta, Alexander Lerch:
ASPED: An Audio Dataset for Detecting Pedestrians. ICASSP 2024: 406-410 - Karn N. Watcharasupat, Alexander Lerch:
Quantifying Spatial Audio Quality Impairment. ICASSP 2024: 746-750 - Rishabh Kabra, Loic Matthey, Alexander Lerchner, Niloy J. Mitra:
Leveraging VLM-Based Pipelines to Annotate 3D Objects. ICML 2024 - Alexander Lercher:
Managing API Evolution in Microservice Architecture. ICSE Companion 2024: 195-197 - Shimiao Liu, Alexander Lerch:
Enhancing Video Music Recommendation with Transformer-Driven Audio-Visual Embeddings. IS2 2024: 1-6 - Yiwei Ding, Alexander Lerch:
Embedding Compression for Teacher-to-Student Knowledge Transfer. CoRR abs/2402.06761 (2024) - SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young:
Scaling Instructable Agents Across Many Simulated Worlds. CoRR abs/2404.10179 (2024) - Chaeyeon Han, Pavan Seshadri, Yiwei Ding, Noah Posner, Bon-Woo Koo, Animesh Agrawal, Alexander Lerch, Subhrajit Guhathakurta:
Understanding Pedestrian Movement Using Urban Sensing Technologies: The Promise of Audio-based Sensors. CoRR abs/2406.09998 (2024) - Karn N. Watcharasupat, Alexander Lerch:
A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems. CoRR abs/2406.18747 (2024) - T. Aleksandra Ma, Alexander Lerch:
Music auto-tagging in the long tail: A few-shot approach. CoRR abs/2409.07730 (2024) - 2023
- Yun-Ning Hung, Chao-Han Huck Yang, Pin-Yu Chen, Alexander Lerch:
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming. ICASSP 2023: 1-5 - Yiwei Ding, Alexander Lerch:
Audio Embeddings as Teachers for Music Classification. ISMIR 2023: 579-587 - Peter Knees, Alexander Lerch:
MILC 2023: 3rd Workshop on Intelligent Music Interfaces for Listening and Creation. IUI Companion 2023: 185-186 - Hsin-Hung Chen, Alexander Lerch:
Music Instrument Classification Reprogrammed. MMM (1) 2023: 345-357 - Karn N. Watcharasupat, Alexander Lerch:
Evaluation of Spatial Distortion in Multichannel Audio. CoRR abs/2306.08053 (2023) - Yiwei Ding, Alexander Lerch:
Audio Embeddings as Teachers for Music Classification. CoRR abs/2306.17424 (2023) - Karn N. Watcharasupat, Chih-Wei Wu, Yiwei Ding, Iroro Orife, Aaron J. Hipple, Phillip A. Williams, Scott Kramer, Alexander Lerch, William Wolcott:
A Generalized Bandsplit Neural Network for Cinematic Audio Source Separation. CoRR abs/2309.02539 (2023) - Pavan Seshadri, Chaeyeon Han, Bon-Woo Koo, Noah Posner, Subhrajit Guhathakurta, Alexander Lerch:
ASPED: An Audio Dataset for Detecting Pedestrians. CoRR abs/2309.06531 (2023) - Alexander Lercher, Johann Glock, Christian Macho, Martin Pinzger:
Microservice API Evolution in Practice: A Study on Strategies and Challenges. CoRR abs/2311.08175 (2023) - Ashvala Vinay, Alexander Lerch:
AQUATK: An Audio Quality Assessment Toolkit. CoRR abs/2311.10113 (2023) - Rishabh Kabra, Loic Matthey, Alexander Lerchner, Niloy J. Mitra:
Evaluating VLMs for Score-Based, Multi-Probe Annotation of 3D Objects. CoRR abs/2311.17851 (2023) - Drew A. Hudson, Daniel Zoran, Mateusz Malinowski, Andrew K. Lampinen, Andrew Jaegle, James L. McClelland, Loic Matthey, Felix Hill, Alexander Lerchner:
SODA: Bottleneck Diffusion Models for Representation Learning. CoRR abs/2311.17901 (2023) - 2022
- Yun-Ning Hung, Chih-Wei Wu, Iroro Orife, Aaron Hipple, William Wolcott, Alexander Lerch:
A large TV dataset for speech and music activity detection. EURASIP J. Audio Speech Music. Process. 2022(1): 21 (2022) - Weian Guo, Zhenyao Hua, Zecheng Kang, Dongyang Li, Lei Wang, Qidi Wu, Alexander Lerch:
Deep reinforcement learning for urban multi-taxis cruising strategy. Neural Comput. Appl. 34(19): 16275-16289 (2022) - Alexander Lerch:
libACA, pyACA, and ACA-Code: Audio content analysis in 3 languages. Softw. Impacts 13: 100349 (2022)
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