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ORCIDMohammadamin Barekatain
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Journal Articles
- 2024
[j6]Bernardino Romera-Paredes
, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, Alhussein Fawzi:
Mathematical discoveries from program search with large language models. Nat. 625(7995): 468-475 (2024)- 2023
- [j5]Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco Selvi, Cosmin Paduraru, Edouard Leurent, Shariq Iqbal, Jean-Baptiste Lespiau, Alex Ahern, Thomas Köppe, Kevin Millikin, Stephen Gaffney, Sophie Elster, Jackson Broshear, Chris Gamble, Kieran Milan, Robert Tung, Minjae Hwang, A. Taylan Cemgil, Mohammadamin Barekatain, Yujia Li, Amol Mandhane, Thomas Hubert, Julian Schrittwieser, Demis Hassabis, Pushmeet Kohli, Martin A. Riedmiller, Oriol Vinyals, David Silver:
Faster sorting algorithms discovered using deep reinforcement learning. Nat. 618(7964): 257-263 (2023) - 2022
- [j4]Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, Pushmeet Kohli:
Discovering faster matrix multiplication algorithms with reinforcement learning. Nat. 610(7930): 47-53 (2022) - 2018
- [j3]Ziga Avsec, Mohammadamin Barekatain, Jun Cheng, Julien Gagneur:
Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks. Bioinform. 34(8): 1261-1269 (2018) - [j2]Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth:
Machine learning for internet of things data analysis: a survey. Digit. Commun. Networks 4(3): 161-175 (2018) - 2017
- [j1]Andrew Holliday, Mohammadamin Barekatain, Johannes Laurmaa, Chetak Kandaswamy, Helmut Prendinger:
Speedup of deep learning ensembles for semantic segmentation using a model compression technique. Comput. Vis. Image Underst. 164: 16-26 (2017)
Conference and Workshop Papers
- 2021
- [c7]Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Mohammadamin Barekatain, Simon Schmitt, David Silver:
Learning and Planning in Complex Action Spaces. ICML 2021: 4476-4486 - [c6]Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki:
Path Planning using Neural A* Search. ICML 2021: 12029-12039 - [c5]Julian Schrittwieser, Thomas Hubert, Amol Mandhane, Mohammadamin Barekatain, Ioannis Antonoglou, David Silver:
Online and Offline Reinforcement Learning by Planning with a Learned Model. NeurIPS 2021: 27580-27591 - 2020
- [c4]Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya:
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. IJCAI 2020: 3108-3116 - 2017
- [c3]Mohammadamin Barekatain, Miquel Martí, Hsueh-Fu Shih, Samuel Murray, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger:
Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection. CVPR Workshops 2017: 2153-2160 - 2015
- [c2]Mohammadreza Rezvan, Mohammadamin Barekatain, Ahmad Zaeri, Kazem Taghandiki:
Applying an innovative semantic sensor network model in Internet of Things. ICTC 2015: 324-328 - 2014
- [c1]Mohammadreza Rezvan, Mohammadamin Barekatain:
The Sensors Are Innovative in Internet of Things. WICON 2014: 253-261
Informal and Other Publications
- 2024
- [i8]Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli:
Quantum Circuit Optimization with AlphaTensor. CoRR abs/2402.14396 (2024) - 2021
- [i7]Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Velickovic:
Persistent Message Passing. CoRR abs/2103.01043 (2021) - [i6]Julian Schrittwieser, Thomas Hubert, Amol Mandhane, Mohammadamin Barekatain, Ioannis Antonoglou, David Silver:
Online and Offline Reinforcement Learning by Planning with a Learned Model. CoRR abs/2104.06294 (2021) - [i5]Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Mohammadamin Barekatain, Simon Schmitt, David Silver:
Learning and Planning in Complex Action Spaces. CoRR abs/2104.06303 (2021) - 2020
- [i4]Ryo Yonetani, Tatsunori Taniai, Mohammadamin Barekatain, Mai Nishimura, Asako Kanezaki:
Path Planning using Neural A* Search. CoRR abs/2009.07476 (2020) - 2019
- [i3]Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya:
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. CoRR abs/1909.13111 (2019) - 2018
- [i2]Mohammad Saeid Mahdavinejad, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam M. Barnaghi, Amit P. Sheth:
Machine learning for Internet of Things data analysis: A survey. CoRR abs/1802.06305 (2018) - 2017
- [i1]Mohammadamin Barekatain, Miquel Martí, Hsueh-Fu Shih, Samuel Murray, Kotaro Nakayama, Yutaka Matsuo, Helmut Prendinger:
Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection. CoRR abs/1706.03038 (2017)
Coauthor Index
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