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Poster Session 1
Evan Casey · Colin A Raffel · Jonathan Simon · Juncheng Li · Robert Saunders · Petra Gemeinboeck · Eunsu Kang · Songwei Ge · Curtis Hawthorne · Anna Huang · Ting-Wei Su · Eric Chu · Memo Akten · Sonam Damani · Khyatti Gupta · Dilpreet Singh · Patrick Hutchings

Sat Dec 08 10:30 AM -- 11:30 AM (PST) @
in Second Workshop on Machine Learning for Creativity and Design »

Author Information

Evan Casey (artist)
Colin A Raffel (Google Brain)

My research focuses on machine learning techniques for sequential data. I am currently a resident at Google Brain. I recently completed a PhD in Electrical Engineering at Columbia University In LabROSA, supervised by Dan Ellis. My thesis focused on learning-based methods for comparing sequences. In 2010, I received a Master's in Music, Science and Technology from Stanford University's CCRMA, supervised by Julius O. Smith III. I did my undergrad at Oberlin College, where I majored in Mathematics.

Jonathan Simon (Fin Exploration Company)
Juncheng Li (Carnegie Mellon University)

Juncheng (Billy) Li is last year PhD student at Carnegie Mellon University’s Language Technology Institute at the School of Computer Science working with Prof. Florian Metze. Juncheng (Billy) Li had worked as a research scientist at the Bosch Center for Artificial Intelligence from 2015 till 2019 where he worked with Prof. Zico Kolter. Juncheng (Billy) has a background in Deep Learning in Acoustics signals and multimodal data, and he is currently working on exploring the adversarial robustness of the multimodal machine learning systems. Juncheng also acquired extensive experience in applying AI to industrial problems when he worked at Bosch, specifically, he has worked on projects including fault detection, machine simulation and sensor fusion. Juncheng has published at IEEE ICASSP, Interspeech, ICML and NeurIPS, and won the best student paper at ICASSP 2022, and best paper award at ICMR 2018.

Robert Saunders (Falmouth University)

Rob Saunders is Associate Professor in Computational Creativity and Co-Director of the Metamakers Institute at Falmouth University, UK. He is also Senior Research Fellow in the Design Lab at Sydney University, Australia. Rob develops computational models of curiosity and creativity. He collaborates with artists and designers to develop intelligent systems, interactive installations and robotic artworks.

Petra Gemeinboeck (Falmouth University)
Eunsu Kang (Carnegie Mellon University)

Eunsu Kang creates interactive audiovisual installations and artworks in collaboration with Machine Learning algorithms. Her research is currently focused on creative A.I. and artistic expressions by Machine Learning algorithms. Kang earned her Ph.D. from DXARTS at the University of Washington. She received an MA in Media Arts and Technology from UCSB and an MFA from the Ewha Womans University. She is currently a Visiting Professor of Art and Machine Learning at Carnegie Mellon University.

Songwei Ge (Carnegie Mellon University)
Curtis Hawthorne (Google Brain)
Anna Huang (Google Brain)
Ting-Wei Su (Stanford University)
Eric Chu (MIT)
Memo Akten (Goldsmiths, University of London)

Artist working with computation as a medium, exploring collisions between nature, science, technology, culture, ethics, ritual, tradition and religion. Doing PhD at Goldsmiths UoL in artificial intelligence and expressive human-machine interaction - particularly realtime image and sound synthesis and expressive manipulation using deep learning.

Sonam Damani (Microsoft)
Khyatti Gupta (Microsoft IDC)
Dilpreet Singh (Monash University)
Patrick Hutchings (Monash University)

Patrick Hutchings is a composer and AI researcher, often working in the cross section of these two areas. His research focus is in creative applications of artificial intelligence, where he looks at new ways of assisting and expanding creative practices with AI. He holds Bachelor degrees in Music and Science from the Australian National University, and continues his creative practice in music by composing for games, film and solo projects.

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