NeurIPS 2026 Expo Schedule Overview

NeurIPS 2026 Expo Dec. 6, 2026

Start Time	Darling Harbour Theatre	Grand BR B1	Grand BR B2/B3	Parkside 1	Parkside 2	Pyrmont Theatre
Sun 11:00 a.m.	Mistral AI: When Models Optimize: From Automated Red Teaming to Reward Hacking	Turing: CEO Bench: Evaluating frontier agents on real company work	Together AI: AI That Optimizes AI: Agentic Kernel and Model Optimization in Production	Lambda: The Model Is Not the Agent: Building Better Agents from Experience, Systems, and Evaluation	Abaka AI: Training Data Expires Faster Than Ever: Five Shifts in How Frontier Models Learn, 2024–2027	Modal: Any GPU, Any Cloud: Training on a Planetary Fleet
Sun 12:00 p.m.	DRW: Continual Learning in Non-Stationary Environments	Snorkel AI: The Art & Science of Benchmarking Agents	MATS Research: Scaling AI Safety & Security	Microsoft: A Training-Free Framework for Spatially Grounded 2D Shape and 3D Object Encoding	Prior Labs: Tabular Foundation Models Have Taken the Lead: What Changed This Year and How to Use TabPFN	TD Bank /: Causal Inference has Entered its Foundation Model Era – What Industry Needs to Know
Sun 01:00 p.m.	Citadel and Citadel: Applying AI to Financial Markets: A Citadel and Citadel Securities Perspective	IBM: Composing Modular Capabilities into One Deployable LLM	Toloka: Fine-Tuning Small Models on Real Enterprise Tool Use: A Data and Evaluation Pipeline	NTT DATA AIVista: Constructing Data and Rule Ontologies for Enterprise Agents	Two Sigma: One Market, Many Clocks: Domain-Grounded Multimodal Learning in Quantitative Finance	Apple: Advancing the Frontiers of On-Device AI: Efficiency, Multimodality, and Emerging Models
Sun 05:00 p.m.	Google: Towards Foundational Robotics Models with 3D Reasoning	Intel: Breaking the Bottlenecks of Autoregressive LLM Inference	Reflection: Owning the Harness: Durable, Open Infrastructure for Long-Running Agents	Qualcomm: Beyond Chat: Always-On Context Engines for Proactive AI Assistants	Canva: Can We Turn Images into Words—and Back Again? Holistic Visual Descriptions for Understanding and Generation	JPMorganChase: Building Enterprise AI for Finance: Structured Models, Adaptive Memory, Trusted Agents, and Scalable Orchestration
Sun 06:00 p.m.	Scale AI: Environments Are the New Data: Building, Verifying, and Training Agents at Scale.	Jump Trading: Adapting AI Research to Quantitative Finance	Cohere: From Research to Industry: Building Scalable Production Systems and Teams	Commonwealth Bank: Turning Academic AI Research into Trusted Real-World Impact	LinkedIn: Agents in Production: Evals, Harnesses, and the Reinvention of Recommendation	Shopify: Continual Reinforcement Learning for AI Shopping Assistants