Maximize Your Impact At ICML 2026
ICML 2026 is set to take place July 6–11 at the COEX Convention & Exhibition Center in Seoul, South Korea. As one of the premier international conferences on machine learning, this event draws academic, commercial, and technical leaders who are actively shaping the future of artificial intelligence and data science. It’s more than a research forum—ICML functions as a pivotal exchange where scientific insight meets commercial interest across industries including tech, finance, healthcare, and robotics.
Decision-makers attending ICML are not just thinking about algorithms—they’re evaluating partnerships, allocating research budgets, and planning long-term investments in machine learning infrastructure. Attendees include professors leading applied research programs, CTOs overseeing AI strategy, startup founders seeking funding, and enterprise buyers exploring new integrations. By gaining early access to the enriched attendee list, your team can connect with the right technical decision-makers before key introductions are lost among the crowd.
How Sales, Marketing And Revops Teams Can Use This Attendee List
ICML attendees are highly technical, often responsible for setting research agendas and selecting tools that fuel large-scale AI initiatives. Vendelux’s enriched conference attendee list helps your team segment contacts by seniority, academic credentials, or industry focus, making messaging far more precise. If your offering supports machine learning tooling, model deployment, cloud scalability, or academic collaboration, this is one of the most high-leverage audiences in the industry.
Use the attendee data to book early meetings with department leads who influence spend. Segment academic versus commercial attendees to tailor outreach clearly. After the event, reconnect with conference attendees by following up on specific research topics, presentation tracks, or use cases to make the interaction relevant. Whether you’re building pilot programs, exploring joint research, or closing enterprise software contracts, knowing who will be there can directly impact how many meetings you secure.
Timing Is Everything
ICML 2026 runs from July 6–11, 2026. With a strong global reputation, this event’s attendees set their schedules many months in advance. Early engagement ensures your outreach coincides with how attendees are planning their delegations, funding discussions, and submission reviews.
By accessing the enriched attendee list through Vendelux, your team can identify high-value contacts ahead of the event. This allows for more effective follow-ups, stronger in-person meetings, and a much clearer return on event investment. Outreach that starts in spring 2026 will be well-positioned for engagement during the peak of the conference.
What’s Included In The ICML 2026 Attendee List?
Vendelux provides visibility into key executives, researchers, and decision-makers expected to attend ICML 2026 through a combination of organizer-provided data and predictive modeling. Clients can upload a list of target accounts to highlight relevant matches and contact information.
The enriched attendee list includes first and last name, job title, company name, company website, city, state, and country, along with LinkedIn profile links, verified email addresses, and mobile or direct phone numbers when available.
Where Is ICML 2026?
ICML 2026 will be held at the COEX Convention & Exhibition Center in Seoul, South Korea.
When Is ICML 2026?
ICML 2026 is scheduled for July 6–11, 2026.
What Type Of Event Is ICML 2026?
ICML is one of the world’s most influential machine learning conferences, bringing together top researchers, engineers, and developers working at the intersection of academia and industry. The event features technical paper presentations, poster sessions, tutorials, and workshops, with opportunities for networking and industry-academic exchange throughout the week.
How Many People Attend ICML 2026?
ICML is expected to draw more than 6,000 attendees from over 50 countries. Participants typically include PhD-level researchers, senior engineers, university faculty, product leads, and technology executives from leading AI-focused organizations.
