ΑΙhub.org
 

What’s on the programme at #ICML2025?


by
07 July 2025



share this:
ICML logo

This year’s International Conference on Machine Learning (ICML) will take place in Vancouver, Canada from 13-19 July 2025. As well as five invited talks, the programme boasts oral and poster presentations, affinity events, tutorials, and workshops.

Invited speakers

The five invited speakers are as follows:

  • Jon Kleinberg
  • Pamela Samuelson
  • Frauke Kreuter
  • Anca Dragan
  • Andreas Krause

Affinity events

There are four affinity group workshops scheduled for this year:

Tutorials

The tutorials will take place on Monday 14 July. There are 12 to choose from this year.

  • Generative AI Meets Reinforcement Learning
  • Harnessing Low Dimensionality in Diffusion Models: From Theory to Practice
  • Calibration and Bias in Algorithms, Data, and Models: a tutorial on metrics and plots for measuring calibration, bias, fairness, reliability, and robustness
  • Modern Methods in Associative Memory
  • Alignment Methods for Large Language Models
  • DP-fy your DATA: How to (and why) synthesize Differentially Private Synthetic Data
  • Flowing Through Continuous-Time Generative Models: A Clear and Systematic Tour
  • Tutorial on Mechanistic Interpretability for Language Models
  • The Underlying Logic of Language Models
  • Jailbreaking LLMs and Agentic Systems: Attacks, Defenses, and Evaluations
  • Game-theoretic Statistics and Sequential Anytime-Valid Inference
  • Training Neural Networks at Any Scale

Workshops

The workshops will take place on Friday 18 and Saturday 19 July.

You can find out more about the conference here.



tags: , ,


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

coffee corner

AIhub coffee corner: World models

  22 May 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Why the world’s banks are so worried about Anthropic’s latest AI model

  21 May 2026
The finance world’s concern rests on the impressive cyber capabilities of a product called Mythos.

Embracing empiricism – from the lottery hypothesis to creating real-world impact: an interview with Jonathan Frankle

  20 May 2026
Jonathan Frankle discusses empiricism, making an impact, and the legacy of his lottery ticket hypothesis.

A faster way to estimate AI power consumption

  19 May 2026
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.

Introducing ARFBench: A time series question-answering benchmark based on real incidents

  18 May 2026
To resolve system failures, engineers must troubleshoot outages quickly.

Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?

  15 May 2026
As the capacity of AI systems increases apace, so do concerns about the privacy of user data.

Reflections from #AIES2025

and   14 May 2026
We reflect on AIES 2025, outlining a discussion session on LLMs for clinical usage and human rights.

Deep learning-powered biochip to detect genetic markers

System can detect extremely small amounts of microRNAs, genetic markers linked to diseases such as heart disease.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence