Join us, on Wednesday, December 10th 2025,
11:00 EST/ 17:00 CET for a focused, no-fluff webinar, where we’ll break down the most compelling ICCV 2025 work on model explainability, failure analysis, debugging, and model reliability.
For those of us building, deploying, and troubleshooting neural networks in production, the real question after ICCV 2025 is simple: How do these new research breakthroughs actually help us understand what our models are doing, and what they’re still doing wrong?
In this session, led by Yotam Azriel, CEO & CTO of Tensorleap, we’ll go beyond the “what” of the papers and dig into the “so what”- translating cutting-edge research into practical insights you can apply immediately across vision, multimodal, and foundation-model pipelines.
You’ll come away with a distilled view of where the field is moving, the debugging methodologies that matter, and the emerging patterns shaping how we diagnose and interpret complex neural networks today.
Anyone who wants high-signal insights from ICCV- without drowning in 2,000+ papers- will walk away with immediate, practical value.