NeurIPS 2026 Schedule

Tutorial

Mon Dec 07 09:00 AM -- 12:00 PM (AEDT) @ Grand BR B2/B3 None

Uncertainty Quantification: From Detecting LLM Hallucinations to Strengthening Reasoning and AI Agents

Artem Shelmanov ⋅ Ekaterina Fadeeva ⋅ Maxim Panov

Tutorial

Mon Dec 07 09:00 AM -- 12:00 PM (AEDT) @ TikTok Entertainment Center None

The Principles of Diffusion Models: Toward Fast and Scalable Diffusion LLMs

Chieh-Hsin Lai ⋅ Subham Sahoo ⋅ Stefano Ermon

Tutorial

Mon Dec 07 09:00 AM -- 12:00 PM (AEDT) @ Darling Harbour Theatre None

From Scores to Evidence: Robust Evaluation of Foundation Models

Ana Gjorgjevikj ⋅ Barbara Koroušić Seljak ⋅ Tome Eftimov

Tutorial

Mon Dec 07 09:00 AM -- 12:00 PM (AEDT) @ Pyrmont Theatre None

Multi-Objective Optimization for Modern Machine Learning: Foundations, Recent Advances, and Emerging Applications

Jia (Kevin) Liu ⋅ Chaosheng Dong ⋅ Lisha Chen ⋅ Tianyi Chen ⋅ Kaiyi Ji

Tutorial

Mon Dec 07 09:00 AM -- 12:00 PM (AEDT) @ Parkside 1 None

Three Geometric Lenses on Graph Machine Learning

Melanie Weber

Tutorial

Mon Dec 07 09:00 AM -- 12:00 PM (AEDT) @ Grand BR B1 None

Empirical Design in Reinforcement Learning for Physical AI

Adam White ⋅ Martha White ⋅ Andrew Patterson

Tutorial

Mon Dec 07 02:00 PM -- 05:00 PM (AEDT) @ Grand BR B1 None

Causal Representation Learning

Julius von Kügelgen ⋅ Francesco Locatello ⋅ Kun Zhang

Tutorial

Mon Dec 07 02:00 PM -- 05:00 PM (AEDT) @ TikTok Ent Centre None

Distilling Reasoning: From Chain-of-Thought to Agentic Capabilities in Smaller Models

Vishrav Chaudhary ⋅ Akhil Arora ⋅ Subbarao Kambhampati

Tutorial

Mon Dec 07 02:00 PM -- 05:00 PM (AEDT) @ Darling Harbour Theatre None

Neuro-Symbolic Learning in the Era of Large Language Models

Haoxuan Li ⋅ Lan-Zhe Guo ⋅ Wang-Zhou Dai

Tutorial

Mon Dec 07 02:00 PM -- 05:00 PM (AEDT) @ Pyrmont Theatre None

Formal Guarantees for Frontier AI Systems

Gagandeep Singh ⋅ Isha Chaudhary ⋅ Nalin Wadhwa

Tutorial

Mon Dec 07 02:00 PM -- 05:00 PM (AEDT) @ Parkside 1 None

Principles of Deep Representation Learning via Low-Dimensional Models

Yi Ma ⋅ Qing Qu ⋅ Peng Wang

Tutorial

Mon Dec 07 02:00 PM -- 05:00 PM (AEDT) @ Grand BR B2/B3 None

From Heuristics to Guarantees: Bandit and RL Blueprint for Reliable Agentic-AI

Aadirupa Saha ⋅ Arun Verma ⋅ Djallel Bouneffouf

Tutorial

Tue Dec 08 03:00 AM -- 06:00 AM (AEDT) @ Room C111-112 None

Towards The Science of Multi-Agent Communication

Yi Fang ⋅ Xuan Wang

Tutorial

Tue Dec 08 03:00 AM -- 06:00 AM (AEDT) @ Room C113-114 None

Towards Trustworthy Agentic AI: Interpretability, Safety, and Steering

Anshuman Chhabra ⋅ Muhao Chen ⋅ Ben Zhou

Tutorial

Tue Dec 08 03:00 AM -- 06:00 AM (AEDT) @ Room C211-213 None

Neuroevolution of Intelligent Agents

Risto Miikkulainen

Tutorial

Wed Dec 09 07:30 PM -- 10:30 PM (AEDT) None

Generative AI and Stochastic Thermodynamics: A Tale of Free Energies

Tutorial

Thu Dec 10 07:30 PM -- 09:30 PM (AEDT) None

Time Series Foundation Models in Practice: From Forecasting to Classification and EEG Analysis

Thomas Moreau ⋅ Ievgen Redko ⋅ Théo Gnassounou

Tutorial

Fri Dec 11 07:30 PM -- 10:30 PM (AEDT) None

Performance Estimation Problems: Computer-Aided and AI-Assisted Analysis and Design of First-Order Optimization Methods

Aymeric Dieuleveut ⋅ Adrien Taylor ⋅ Daniel Berg Thomsen ⋅ Baptiste Goujaud

Tutorial

Fri Dec 11 11:00 PM -- 02:00 AM (AEDT) None

Economics of Generative AI

Stratis Tsirtsis ⋅ Manuel Rodriguez ⋅ Ander Artola Velasco ⋅ Roland Rathelot ⋅ Ole Teutloff ⋅ Ana-Andreea Stoica

Query	Result
Kernel	Current meeting year events with kernel in the abstract, author names, room location, date, or abstract
Deep Learning	Deep or Learning
"Deep Learning"	Deep Learning
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