#  ICML 2026 Presentations from our group 

 





Main meeting

1\. **A Random Matrix Perspective on the Consistency of Diffusion Models**  
Binxu Wang ⋅ Jacob A Zavatone-Veth ⋅ Cengiz Pehlevan  
**Oral** Thu, Jul 9, 2026 • 3:00 AM – 3:15 AM EDT ASEM BALLROOM 201-203  
**Poster** Thu, Jul 9, 2026 • 4:00 AM – 5:45 AM EDT

2\. **Demystifying LLM-as-a-Judge: Analytically Tractable Model for Inference-Time Scaling**  
Indranil Halder ⋅ Cengiz Pehlevan  
**Poster** Tue, Jul 7, 2026 • 9:30 PM – 11:15 PM EDT HALL A  
  
3\. **CompleteP for RL: Maintaining Feature Learning When Scaling Deep Reinforcement Learning**  
M Ganesh Kumar ⋅ Adam Lee ⋅ Blake Bordelon ⋅ Cengiz Pehlevan  
**Poster**Tue, Jul 7, 2026 • 1:00 AM – 2:45 AM EDT HALL A  
  
4\. **Universal One-third Time Scaling in Learning Peaked Distributions**  
Yizhou Liu ⋅ Ziming Liu ⋅ Cengiz Pehlevan ⋅ Jeff Gore  
**Poster**Tue, Jul 7, 2026 • 1:00 AM – 2:45 AM EDT  
  
5\. **Hyperparameter Transfer with Mixture-of-Expert Layers**  
Tianze Jiang ⋅ Blake Bordelon ⋅ Cengiz Pehlevan ⋅ Boris Hanin  
**Poster** Thu, Jul 9, 2026 • 4:00 AM – 5:45 AM EDT HALL A

Workshops  
  
1\. **Practical Bayesian Optimization for Scientific Discovery**  
Hamza Chaudhry ⋅ Sean Murphy ⋅ Umesh Padia ⋅ Cengiz Pehlevan ⋅ James Harrison ⋅ George Church ⋅ Jasper Snoek  
**Decision-Making from Offline Datasets to Online Adaptation: Black-Box Optimization to Reinforcement Learning**  
**AI for Science: AI Scientists -- Tools, Co-authors, or Founders?**

2\. **Anytime Pretraining: Horizon-Free Learning-Rate Schedules with Weight Averaging**  
Alex Meterez ⋅ Pranav Nair ⋅ Depen Morwani ⋅ Cengiz Pehlevan ⋅ Sham Kakade  
**High Dimensional Learning Dynamics: the Science of Scaling**  
  
3\. **Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch**  
Mary Letey ⋅ Yue Lu ⋅ Cengiz Pehlevan ⋅ Jacob A Zavatone-Veth  
**High Dimensional Learning Dynamics: the Science of Scaling**  
  
4\. Invited talk  
Cengiz Pehlevan  
**Foundations of Deep Generative Models: Understanding Memorization, Generalization, and Reasoning**



 

June 15, 2026

 

 

 



 

 

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