Conference

ICLR 2026 Organizing Committee

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2026 Organizing Committee General Chair Carl Vondrick (Columbia University & Apple) Senior Program Chair Bharath Hariharan (Cornell University) Program Chairs Aleksandra Faust (Genesis Therapeutics) Lerrel Pinto (New York University) Colin Raffel (University of Toronto, Vector Institute and Hugging Face) Diyi Yang (Stanford University) Workflow Chair Zhenyu (Sherry) Xue (ICLR) Program Committee Representative Talha Irfan (ICLR) Senior Workshop Chair Yanan Sui (Tsinghua University) Workshop Chairs Andre Araujo (Google DeepMind) Adji Bousso Dieng (Princeton University) Nezihe Merve Gürel (TU Delft) Financial and Participation Chairs Pablo Samuel Castro (Google DeepMind / U. de Montreal / Mila) Erin Grant (New York University) Blog Post Chairs David Dobre (Mila) Nicholas Gao (Cusp AI) Jonas Köhler (CuspAI) Leo Schwinn (Technical University Munich) Sophie Xhonneux (Mila/University of Montreal) Volunteer Chairs Amith Ananthram (Columbia University) Noah Bergam (Columbia University) Social Chair Carlo D'Eramo (University of Würzburg / TU Darmstadt) Successful Page Load ICLR uses cookies for essential functions only. We do not sell your personal information. Our Privacy Policy » Accept

Executive Summary

The article presents the 2026 Organizing Committee for the International Conference on Learning Representations (ICLR). The committee consists of 17 members from renowned institutions such as Columbia University, Cornell University, Stanford University, and Google DeepMind. The members have expertise in various areas of artificial intelligence and machine learning. The committee's roles include general chair, senior program chair, program chairs, workflow chair, program committee representative, senior workshop chair, workshop chairs, financial and participation chairs, blog post chairs, and volunteer chairs. The article also mentions the use of cookies for essential functions only, with a link to the ICLR Privacy Policy.

Key Points

  • ▸ The 2026 ICLR Organizing Committee is composed of 17 members from prominent institutions.
  • ▸ Committee members have expertise in artificial intelligence, machine learning, and related fields.
  • ▸ Roles include general chair, senior program chair, program chairs, and other key positions.

Merits

Strength of Expertise

The committee members' collective expertise in AI and ML strengthens the credibility of the conference.

Diversified Representation

The presence of members from various institutions and backgrounds provides a well-rounded representation of the AI and ML community.

Demerits

Potential Conflict of Interest

Members' affiliations with industry leaders, such as Google DeepMind, may raise concerns about potential conflicts of interest.

Limited Transparency

The article does not provide detailed information about the selection process for committee members or their roles within the conference.

Expert Commentary

The 2026 ICLR Organizing Committee showcases a strong representation of AI and ML expertise. However, the presence of industry affiliations raises concerns about potential conflicts of interest. To maintain transparency and credibility, it is essential to establish clear guidelines for committee member selection and disclosure. As the AI and ML community continues to grow, conferences like ICLR play a vital role in shaping the field's trajectory. It is crucial to ensure that conference organization and management practices prioritize ethics, diversity, and inclusion.

Recommendations

  • ✓ Establish clear guidelines for committee member selection and disclosure to ensure transparency and minimize potential conflicts of interest.
  • ✓ Encourage diverse representation on the Organizing Committee, including institutions and backgrounds from underrepresented groups.

Sources

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