Timezone: »

 
Poster Session 2
Gabriele Prato · Urmish Thakker · Laura Galindez Olascoaga · Tianyu Zhang · Vahid Partovi Nia · Kamil Adamczewski

Author Information

Gabriele Prato (Mila, Université de Montréal)
Urmish Thakker (Arm Inc)
Laura Galindez Olascoaga (KU Leuven)

I am a PhD candidate at the Microelectronics and sensors (MICAS) lab of KU Leuven, Belgium. My research consists on the development of hardware-aware machine learning frameworks and algorithms, which are meant to exploit the hardware devices they run in optimally.

Tianyu Zhang (WeBank AI group)

## Tianyu Zhang E-mail: brutuszhang@webank.com Currently, He is a senior AI researcher in WeBank Guangdong, China. ## Education Received the Ph.D. degree from Graduate School of Applied Informatics, University of Hyogo, Japan in March 2018. ## Research His research interests include Neural Network compression, Federated Learning, and Bayesian Optimization.

Vahid Partovi Nia (Huawei Technologies)
Kamil Adamczewski (Max Planck Institute for Intelligent Systems)

More from the Same Authors

  • 2021 : MLPerf Tiny Benchmark »
    Colby Banbury · Vijay Janapa Reddi · Peter Torelli · Nat Jeffries · Csaba Kiraly · Jeremy Holleman · Pietro Montino · David Kanter · Pete Warden · Danilo Pau · Urmish Thakker · antonio torrini · jay cordaro · Giuseppe Di Guglielmo · Javier Duarte · Honson Tran · Nhan Tran · niu wenxu · xu xuesong
  • 2019 : Poster session »
    Sebastian Farquhar · Erik Daxberger · Andreas Look · Matt Benatan · Ruiyi Zhang · Marton Havasi · Fredrik Gustafsson · James A Brofos · Nabeel Seedat · Micha Livne · Ivan Ustyuzhaninov · Adam Cobb · Felix D McGregor · Patrick McClure · Tim R. Davidson · Gaurush Hiranandani · Sanjeev Arora · Masha Itkina · Didrik Nielsen · William Harvey · Matias Valdenegro-Toro · Stefano Peluchetti · Riccardo Moriconi · Tianyu Cui · Vaclav Smidl · Taylan Cemgil · Jack Fitzsimons · He Zhao · · mariana vargas vieyra · Apratim Bhattacharyya · Rahul Sharma · Geoffroy Dubourg-Felonneau · Jonathan Warrell · Slava Voloshynovskiy · Mihaela Rosca · Jiaming Song · Andrew Ross · Homa Fashandi · Ruiqi Gao · Hooshmand Shokri Razaghi · Joshua Chang · Zhenzhong Xiao · Vanessa Boehm · Giorgio Giannone · Ranganath Krishnan · Joe Davison · Arsenii Ashukha · Jeremiah Liu · Sicong (Sheldon) Huang · Evgenii Nikishin · Sunho Park · Nilesh Ahuja · Mahesh Subedar · · Artyom Gadetsky · Jhosimar Arias Figueroa · Tim G. J. Rudner · Waseem Aslam · Adrián Csiszárik · John Moberg · Ali Hebbal · Kathrin Grosse · Pekka Marttinen · Bang An · Hlynur Jónsson · Samuel Kessler · Abhishek Kumar · Mikhail Figurnov · Omesh Tickoo · Steindor Saemundsson · Ari Heljakka · Dániel Varga · Niklas Heim · Simone Rossi · Max Laves · Waseem Gharbieh · Nicholas Roberts · Luis Armando Pérez Rey · Matthew Willetts · Prithvijit Chakrabarty · Sumedh Ghaisas · Carl Shneider · Wray Buntine · Kamil Adamczewski · Xavier Gitiaux · Suwen Lin · Hao Fu · Gunnar Rätsch · Aidan Gomez · Erik Bodin · Dinh Phung · Lennart Svensson · Juliano Tusi Amaral Laganá Pinto · Milad Alizadeh · Jianzhun Du · Kevin Murphy · Beatrix Benkő · Shashaank Vattikuti · Jonathan Gordon · Christopher Kanan · Sontje Ihler · Darin Graham · Michael Teng · Louis Kirsch · Tomas Pevny · Taras Holotyak
  • 2019 Poster: Towards Hardware-Aware Tractable Learning of Probabilistic Models »
    Laura Galindez Olascoaga · Wannes Meert · Nimish Shah · Marian Verhelst · Guy Van den Broeck
  • 2018 Poster: Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models »
    Shoubo Hu · Zhitang Chen · Vahid Partovi Nia · Laiwan CHAN · Yanhui Geng