Archives: 9th April 2026

AIM at ICLR 2026

ICLR2024 AIM at ICLR 2026On 23-27 April, AIM researchers will participate at the Fourteenth International Conference on Learning Representations (ICLR 2026), taking place in Rio de Janeiro, Brazil. ICLR is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence called representation learning, but generally referred to as deep learning.

AIM members will be presenting the following papers at the main track of ICLR 2026:

  • SCRAPL: scattering transform with random paths for machine learning, by Christopher Mitcheltree, Vincent Lostanlen, Emmanouil Benetos, Mathieu Lagrange
  • OmniVideoBench: towards audio-visual understanding evaluation for omni MLLMs, by Caorui Li, Yu Chen, Yiyan Ji, Jin Xu, Zhenyu Cui, Shihao Li, Yuanxing Zhang, Zhenghao Song, Dingling Zhang, Heying, Haoxiang Liu, Yuxuan Wang, Qiufeng Wang, Jiafu Tang, Zhenhe Wu, Jiehui Luo, Zhiyu Pan, Weihao Xie, Chenchen Zhang, Zhaohui Wang, Jiayi Tian, Yanghai Wang, Zhe Cao, Minxin Dai, ke wang, Runzhe Wen, Yinghao Ma, Yaning Pan, Sungkyun Chang, Termeh Taheri, Haiwen Xia, Christos Plachouras, Emmanouil Benetos, Yizhi Li, Ge Zhang, Jian Yang, Tianhao Peng, Zili Wang, Minghao Liu, Junran Peng, Zhaoxiang Zhang, Jiaheng Liu
  • YuE: scaling open foundation models for long-form music generation, by Ruibin Yuan, Hanfeng Lin, Shuyue Guo, Ge Zhang, Jiahao Pan, Yongyi Zang, Haohe Liu, Yiming Liang, Wenye Ma, Xingjian Du, Xeron Du, Zhen Ye, Tianyu Zheng, Zhengxuan Jiang, Yinghao Ma, Minghao Liu, Zeyue Tian, Ziya Zhou, Liumeng Xue, Xingwei Qu, Yizhi Li, Shangda Wu, Tianhao Shen, Ziyang Ma, Jun Zhan, Chunhui Wang, Yatian Wang, Xiaowei Chi, Xinyue Zhang, Zhenzhu Yang, XiangzhouWang, Shansong Liu, Lingrui Mei, Peng Li, Junjie Wang, Jianwei Yu, Guojian Pang, Xu Li, Zihao Wang, Xiaohuan Zhou, Lijun Yu, Emmanouil Benetos, Yong Chen, Chenghua Lin, Xie Chen, Gus Xia, Zhaoxiang Zhang, Chao Zhang, Wenhu Chen, Xinyu Zhou, Xipeng Qiu, Roger Dannenberg, Jiaheng Liu, Jian Yang, Wenhao Huang, Wei Xue, Xu Tan, Yike Guo

See you all at ICLR!


AIM Student Completes Research Fellowship at UK Parliament

alex_fellowship AIM Student Completes Research Fellowship at UK Parliament

AIM PhD student Alexander Williams recently completed a 3-month research fellowship at the Parliamentary Office of Science and Technology (POST) following a successful application to the UKRI Policy Internship Scheme.

POST is an impartial research and knowledge exchange service based in the UK Parliament. They work to ensure cutting-edge research evidence and expertise is available to members of both houses of parliament (House of Commons and House of Lords), covering emerging and complex science and social science topics.

During the fellowship, Alex worked closely with POST’s Physical Sciences and Digital Lead, Simon Brawley, to research and write a POSTnote—an impartial, accurate, and peer-reviewed briefing tailored for UK parliamentarians—on data centres and their sustainability.

Data centres are crucial infrastructure that underpin many aspects of modern life, including artificial intelligence. The POSTnote, titled What are data centres and how sustainable are they?, discusses what data centres are, their presence in the UK, and their impact on different aspects of sustainability. This briefing was produced in consultation with experts and stakeholders from academia, industry, government, and beyond, including interviews with Google, techUK and academics from University of Oxford, Loughborough University, and University of Manchester.

The POSTnote can be read in full here.

Well done Alex!