Katy Gero (Columbia University)
Le Zhou (Xi'an Jiaotong-Liverpool University; New York University, Shanghai)
Aven Le ZHOU（周乐）is an artist scholar and programmer work with creative Artificial Intelligence. He founded the AI-augmented creative studio -- artMachines and leads cross-disciplinary practices in said organization. His artworks and research interests spread in interactive media, generative art, and machine vision for creative interactions. He recently focuses on utilizing interactive artificial intelligence and generative machine learning to effectuate human-AI collaborative creativity. He is currently an Assistant Professor of XJTLU Design School with a focus on creative AI and interactive media. Prior to that, he teaches AI Arts and Interactive Machine Learning and was a resident research fellow at NYU Shanghai.
Simiao Yu (Imperial College London)
Zhengyan Gao (Tokyo Institute of Technology)
Chris Donahue (University of California, San Diego)
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.
TAEGYUN KWON (KAIST)
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.
Charles Martin (University of Oslo)
Charles Martin is a specialist in percussion, music technology, and musical AI from Australia. He links percussion with electroacoustic music and other media through new technologies. He is the author of musical iPad app, PhaseRings, and founded touchscreen ensemble, Ensemble Metatone, percussion group, Ensemble Evolution, and cross-artform group, Last Man to Die. Charles’ did his doctoral research at the Australian National University developing intelligent agents that mediate ensemble performance. At present, Charles is a postdoctoral fellow at the University of Oslo in the Engineering Prediction and Embodied Cognition (EPEC) project and the RITMO Centre for Interdisciplinary Studies in Rhythm, Time, and Motion where he is developing new ways to predict musical intentions and performances in smartphone apps and embedded devices.
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.
Asanobu Kitamoto (Center for Open Data in the Humanities / National Institute of Informatics)
Zheng Jiang (Carnegie Mellon University)
ML Researcher in CMU.
Syuan-Cheng Sun (Carnegie Mellon University)
Philipp Roland Schmitt (Parsons School of Design)
I work at the intersection of design, art and research — inspired by the discrepancy between what can be computed in theory and in reality. I am interested in the applications and implications of emerging technologies and frequently work with topics such as computer vision, artificial intelligence and robotics, digital labour and location-based data.
Maria Attarian (Google)
Alex Lamb (UMontreal (MILA))
Tarin CLANUWAT (Center for Open Data in the Humanities, National Institute of Informatics)
Mauro Martino (IBM Research AI)
#Mauro Martino leads IBM’s Visual AI Lab. Mauro Martino PhD is a scientist and artist who focuses on information technology related to exploration, dissemination and sharing of knowledge. His projects have been shown at international festivals including Ars Electronica, Rixc Art Science Festival, and art galleries including the Serpentine Gallery (London), GAFTA (San Francisco), kim? Contemporary Art Centre (Riga), and the Lincoln Center(New York). His work has been featured on the cover of Nature and PNAS, as well as Nature Communication, Nature Physics, Popular Science, The Economist, The Financial Times, WIRED Magazine, The Guardian, BBC News, MIT News, and Harvard News. He is a Professor of Practice at Northeastern University.
Holly Grimm (Sustia LLC)
Diné (Navajo) artist and machine learning engineer with interests in generative art and natural language processing for Indigenous languages. OpenAI Scholar. Creative Technologist at Google Artists + Machine Intelligence.
Nikolay Jetchev (Zalando SE)
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2022 : Q&A Panel Discussion 2 »
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Tom White · Jesse Engel · Aaron Hertzmann · Stephanie Dinkins · Holly Grimm
2020 : Art Showcase 2 »
2020 : Art Showcase 2 »
2020 Workshop: Machine Learning for Creativity and Design 4.0 »
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2019 : Artwork »
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2019 Poster: On Adversarial Mixup Resynthesis »
Christopher Beckham · Sina Honari · Alex Lamb · Vikas Verma · Farnoosh Ghadiri · R Devon Hjelm · Yoshua Bengio · Chris Pal
2018 : 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
2018 : Legend of Wrong Mountain: Full Generation of Traditional Chinese Opera Using Multiple Machine Learning Algorithms »
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2017 : Poster session + Coffee break »
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2017 Poster: GibbsNet: Iterative Adversarial Inference for Deep Graphical Models »
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