Aren Jansen
I am currently a Research Scientist at Google DeepMind, working on foundational research in multimodal language modeling and media generation. Before joining Google in 2015, I was a Research Scientist at the Johns Hopkins University Human Language Technology Center of Excellence, an Assistant Research Professor in the John Hopkins Department of Electrical and Computer Engineering, and a faculty member of the Center for Language and Speech Processing. My research has explored a wide range of ML topics that involve generative modeling, unsupervised/semi-supervised representation learning, information retrieval, content-based recommendation, latent structure discovery, time series modeling and analysis, and scalable algorithms for big data applications.
See my personal website or my Google scholar page for a full list of publications.
Research Areas
Authored Publications
Sort By
Google
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
Chris Donahue
Dima Kuzmin
Joonseok Lee
Judith Li
Kun Su
Mauro Verzetti
Qingqing Huang
Yu Wang
Vol. 38 No. 5: AAAI-24 Technical Tracks 5, AAAI Press (2024), pp. 4952-4960
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation
Bradley Kim
Alonso Martinez
Yu-Chuan Su
Agrim Gupta
Lu Jiang
Jacob Walker
Neural Information Processing Systems (NeurIPS) (2024) (to appear)
MusicLM: Generating Music From Text
Andrea Agostinelli
Zalán Borsos
Mauro Verzetti
Antoine Caillon
Qingqing Huang
Marco Tagliasacchi
Matt Sharifi
Neil Zeghidour
Christian Frank
under review (2023)
Shared computational principles for language processing in humans and deep language models
Ariel Goldstein
Zaid Zada
Eliav Buchnik
Amy Price
Bobbi Aubrey
Samuel A. Nastase
Harshvardhan Gazula
Gina Choe
Aditi Rao
Catherine Kim
Colton Casto
Lora Fanda
Werner Doyle
Daniel Friedman
Patricia Dugan
Lucia Melloni
Roi Reichart
Sasha Devore
Adeen Flinker
Liat Hasenfratz
Omer Levy,
Kenneth A. Norman
Orrin Devinsky
Uri Hasson
Nature Neuroscience (2022)
MuLan: A Joint Embedding of Music Audio and Natural Language
Qingqing Huang
Joonseok Lee
Ravi Ganti
Judith Yue Li
Proceedings of the the 23rd International Society for Music Information Retrieval Conference (ISMIR) (2022) (to appear)
A Machine-Learning Based Objective Measure for ALS disease progression
Fernando Viera
Alan S Premasiri
Maeve McNally
Steven Perrin
npj Digital Medicine (2022)
A Convolutional Neural Network for Automated Detection of Humpback Whale Song in a Diverse, Long-Term Passive Acoustic Dataset
Ann N. Allen
Matt Harvey
Karlina P. Merkens
Carrie C. Wall
Erin M. Oleson
Frontiers in Marine Science, 8 (2021), pp. 165
Sparse, Efficient, and Semantic MixIT: Taming In-the-Wild Unsupervised Sound Separation
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (2021)
