The Sensors Are Innovative in Internet of Things. - Mohammadreza Rezvan; Mohammadamin Barekatain (WICON, 2014)

Applying an innovative semantic sensor network model in Internet of Things. - Mohammadreza Rezvan; Mohammadamin Barekatain; Ahmad Zaeri; Kazem Taghandiki (ICTC, 2015)

Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection. - Mohammadamin Barekatain; Miquel Martí; Hsueh-Fu Shih; Samuel Murray; Kotaro Nakayama; Yutaka Matsuo; Helmut Prendinger (CVPR Workshops, 2017)

Speedup of deep learning ensembles for semantic segmentation using a model compression technique. - Andrew Holliday; Mohammadamin Barekatain; Johannes Laurmaa; Chetak Kandaswamy; Helmut Prendinger (Comput. Vis. Image Underst., 2017)

Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks. - Ziga Avsec; Mohammadamin Barekatain; Jun Cheng 007; Julien Gagneur (Bioinform., 2018)

Machine learning for internet of things data analysis: a survey. - Mohammad Saeid Mahdavinejad; Mohammadreza Rezvan; Mohammadamin Barekatain; Peyman Adibi; Payam M. Barnaghi; Amit P. Sheth (Digit. Commun. Networks, 2018)

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics. - Mohammadamin Barekatain; Ryo Yonetani; Masashi Hamaya (IJCAI, 2020)

Learning and Planning in Complex Action Spaces. - Thomas Hubert; Julian Schrittwieser; Ioannis Antonoglou; Mohammadamin Barekatain; Simon Schmitt; David Silver (ICML, 2021)

Path Planning using Neural A* Search. - Ryo Yonetani; Tatsunori Taniai; Mohammadamin Barekatain; Mai Nishimura; Asako Kanezaki (ICML, 2021)

Online and Offline Reinforcement Learning by Planning with a Learned Model. - Julian Schrittwieser; Thomas Hubert; Amol Mandhane; Mohammadamin Barekatain; Ioannis Antonoglou; David Silver (NeurIPS, 2021)

Persistent Message Passing. - Heiko Strathmann; Mohammadamin Barekatain; Charles Blundell; Petar Velickovic (CoRR, 2021)

Discovering faster matrix multiplication algorithms with reinforcement learning. - Alhussein Fawzi; Matej Balog; Aja Huang; Thomas Hubert; Bernardino Romera-Paredes; Mohammadamin Barekatain; Alexander Novikov 001; Francisco J. R. Ruiz; Julian Schrittwieser; Grzegorz Swirszcz; David Silver; Demis Hassabis; et al. (Nat., 2022)

Faster sorting algorithms discovered using deep reinforcement learning. - 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; et al. (Nat., 2023)

Mathematical discoveries from program search with large language models. - Bernardino Romera-Paredes; Mohammadamin Barekatain; Alexander Novikov 001; Matej Balog; M. Pawan Kumar; Emilien Dupont; Francisco J. R. Ruiz; Jordan S. Ellenberg; Pengming Wang 001; Omar Fawzi; Pushmeet Kohli; Alhussein Fawzi (Nat., 2024)

Quantum circuit optimization with AlphaTensor. - Francisco J. R. Ruiz; Tuomas Laakkonen; Johannes Bausch; Matej Balog; Mohammadamin Barekatain; Francisco J. H. Heras; Alexander Novikov 001; Nathan Fitzpatrick; Bernardino Romera-Paredes; John van de Wetering; Alhussein Fawzi; Konstantinos Meichanetzidis; et al. (Nat. Mac. Intell., 2025)