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Affinity Workshop

LatinX in AI

Abraham Ramos · Laura Montoya · Ana Maria Quintero-Ossa
Jul 14, 9:30 AM - 5:30 PM West Meeting Room 118-120

The LatinX in AI (LXAI) Workshop will be co-located with ICML 2024, bringing together Latinx researchers, practitioners, and enthusiasts in machine learning to foster collaboration, mentorship, and knowledge exchange.

The LXAI Workshop will feature invited speakers, contributed talks, and poster presentations, highlighting cutting-edge research conducted by Latinx individuals in academia and industry. Additionally, a mentorship session will provide participants with valuable insights into career development, research trends, and pathways for increased Latinx representation in AI.

This event aims to create a welcoming and inclusive environment where Latinx researchers at all career stages can connect, share ideas, and inspire future generations. We strongly encourage participation from underrepresented minorities and allies who support diversity in machine learning and AI.

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Affinity Workshop

4th MusIML workshop at ICML’25

Ahmed Youssef · Suleiman Ali Khan · Gasser Elbanna · Ehsaneddin Asgari · Shaokai Yang · Kamran Soomro · Muhammad Irfan Khan · Nasik Muhammad Nafi
Jul 14, 10:00 AM - 4:00 PM West Meeting Room 211-214

Muslim in ML Workshop will showcase an inspiring program featuring invited talks, oral presentations, and poster sessions. This event provides a vibrant platform for researchers, practitioners, and students from the Muslim community to connect, exchange ideas, and foster collaborations in the field of machine learning. The workshop aims to celebrate and amplify the contributions of Muslim individuals in machine learning while promoting inclusivity and community engagement. While the workshop highlights contributions from Muslim individuals, people of all backgrounds and faiths are welcome to attend.

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Affinity Workshop

New In ML

Tianyu Zhang · Andrew Williams · Zach Xu · Lu Li · Edwin Zhang · Juan A. Rodriguez · Suyuchen Wang · Felix Friedrich · Perouz Taslakian · Sai Rajeswar · Spandana Gella · Irina Rish · Jie Fu
Jul 15, 8:00 AM - 5:30 PM West Meeting Room 211-214

The New In ML workshop is an affinity workshop which designed to empower early-career machine learning researchers by providing mentorship, practical guidance, and an inclusive forum for professional growth. This workshop will feature keynote sessions, including a discussion on AI research principles (including AI safety), as well as targeted talks from leaders in academia and industry, covering topics such as research best practices, reproducibility, and the effective use of large language models for coding, writing, and reviewing. Participants are invited to submit their work through a dual-track call for papers, comprising a main track for preliminary research and a reproducibility track aimed at validating existing findings. Through interactive sessions, personalized feedback from senior reviewers, and comprehensive career guidance, the workshop aims to cultivate a collaborative community that supports the transition of new researchers into competitive, impactful contributors in the field of machine learning.

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Affinity Workshop

WiML

Tatjana Chavdarova · Giulia Clerici · Mariya Hendriksen · Sophia Abraham · Ninon Lizé Masclef · Meriem Mehri · Christianah Titilope Oyewale · Mandana Samiei
Jul 16, 10:00 AM - 9:00 PM West Meeting Room 211-214

The Women in Machine Learning (WiML) Symposium @ ICML 2025 is an inclusive, community-centered in‑person event held on Wednesday, July 16, 2025, in Vancouver, Canada, as part of the ICML conference. The full‑day program (9:30 AM–3:35 PM) features a blend of invited talks, panel discussions, poster sessions, mentoring round tables, breakout Q&A sessions, and networking opportunities—all designed to foster mentorship, highlight cutting‑edge research, encourage idea exchange, and support the growth of women in the machine learning community.

WiML—founded in 2006—connects women working in machine learning to promote mentorship, collaboration, and visibility through academic and industry‑based events and initiatives.

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