All posts by Christos Plachouras

AIM at ICLR 2026

Logo of the ICLR conferenceOn 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

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!


AIM at NeurIPS 2025

On 2-7 December, AIM researchers will participate at the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025), taking place in San Diego, USA. NeurIPS is a prestigious annual academic conference and non-profit foundation that fosters the exchange of research in artificial intelligence (AI), machine learning (ML), and computational neuroscience.

The following papers from AIM members will be presented at the Datasets and Benchmarks track of NeurIPS 2025:

  • OmniBench: Towards The Future of Universal Omni-Language Models by Yizhi Li, Ge Zhang, Yinghao Ma, Ruibin Yuan, King Zhu, Hangyu Guo, Yiming Liang, Jiaheng Liu, Zekun Moore Wang, Jian Yang, Siwei Wu, Xingwei Qu, Jinjie Shi, Xinyue Zhang, Zhenzhu Yang, Yidan WEN, Yanghai Wang, Shihao Li, Zhaoxiang Zhang, Ruibo Liu, Emmanouil Benetos, Wenhao Huang, Chenghua Lin
  • MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix by Ziyang Ma, Yinghao Ma, Yanqiao Zhu, Chen Yang, Yi-Wen Chao, Ruiyang Xu, Wenxi Chen, Yuanzhe Chen, Zhuo Chen, Jian Cong, Kai Li, Keliang Li, Siyou Li, Xinfeng Li, Xiquan Li, Zheng Lian, Yuzhe Liang, Minghao Liu, Zhikang Niu, tianrui wang, Yuping Wang, Yuxuan Wang, Yihao Wu, Guanrou Yang, Jianwei Yu, Ruibin Yuan, Zhisheng Zheng, Ziya Zhou, Haina Zhu, Wei Xue, Emmanouil Benetos, Kai Yu, EngSiong Chng, Xie Chen

The following paper will be presented at the Creative AI track of NeurIPS 2025:

The following papers will be presented at the NeurIPS 2025 Workshop on AI for Music:

Finally, the following paper will be presented at the Differentiable Systems and Scientific Machine Learning workshop of EurIPS:

  • Accelerating Automatic Differentiation of Direct Form Digital Filters by Chin-Yun Yu, George Fazekas

See you all at NeurIPS!