NeurIPS 2025 Schedule
San Diego Mexico City Show Detail Schedule Sun Mon Tue Wed Thu Fri Sat Sun Timezone: America/Los_Angeles Filter Events Affinity Event Affinity Poster Session Award Break Competition Creative AI Session Education Track Session Exhibitor Spot Talks Expo Demonstration Expo Talk Panel Expo Workshop Invited Talk Oral Session Panel Poster Session Reception Registration Desk Remarks Social Streaming Lounge Test Of Time Town Hall Tutorial Workshop Filter Rooms: Don Alberto 1 Don Alberto 2 Don Alberto 3 Don Alberto 4 Exhibit Hall A,B Exhibit Hall A,B + Sails Pavilion Exhibit Hall C,D,E Exhibit Hall D Foyer Exhibit Hall F Exhibit Hall F,G,H Exhibit Hall G,H Foyer Julian & Sol Mezzanine Room 15AB Sal 1 (Business Center) San: Exhibit Hall C Socorro Terrace Upper Level Ballroom 20A Upper Level Ballroom 20AB Upper Level Ballroom 20C Upper Level Ballroom 20CD Upper Level Ballroom 20D Upper Level Ballroom 6A Upper Level Ballroom 6AB Upper Level Ballroom 6B Upper Level Ballroom 6CDEF Upper Level Ballroom 6CF Upper Level Ballroom 6DE Upper Level Room 10 Upper Level Room 11AB Upper Level Room 1AB Upper Level Room 2 Upper Level Room 23ABC Upper Level Room 24ABC Upper Level Room 25ABC Upper Level Room 26AB Upper Level Room 27AB Upper Level Room 28A-E Upper Level Room 29A-D Upper Level Room 3 Upper Level Room 30A-E Upper Level Room 31ABC Upper Level Room 32AB Upper Level Room 33ABC Upper Level Room 4 Upper Level Room 5AB Upper Level Room 7 Upper Level Room 8 Upper Level Room 9 Upper Level Sails Pavilion MON 1 DEC noon Registration Desk (ends 6:00 PM) TUE 2 DEC 7:30 a.m. Registration Desk (ends 6:00 PM) 8 a.m. Affinity Event: Women in Machine Learning (ends 5:00 PM) 8:30 a.m. Expo Talk Panel: GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection (ends 9:30 AM) Expo Talk Panel: Telling Stories at Scale: Multimodal ML in the Global Media Landscape (ends 9:30 AM) Expo Talk Panel: Multimodal Data Foundation at Industry-Scale (ends 9:30 AM) Expo Talk Panel: Data Scout: “From Prompt to Corpus: Accelerating Domain-Specific Data Collection with LLMGuided Discovery” (ends 9:30 AM) Expo Talk Panel: Toward General Full Autonomy: Open Research Challenges in Scalable Self-Driving (ends 9:30 AM) Expo Talk Panel: Foundational Generative Recommendations for E-Commerce (ends 9:30 AM) Expo Talk Panel: Beyond Benchmarks: Rethinking Reasoning in Language Models (ends 9:30 AM) 9 a.m. Break: Coffee Break (ends 10:00 AM) Affinity Event: LatinX in AI (ends 5:00 PM) 9:30 a.m. Tutorial: Model Merging: Theory, Practice and Applications (ends 12:00 PM) Tutorial: New Frontiers of Hyperparameter Optimization: Recent advances and open challenges in theory and practice (ends 12:00 PM) Tutorial: Energy and Power as First-Class ML Design Metrics (ends 12:00 PM) Tutorial: Planning in the Era of Language Models (ends 12:00 PM) Tutorial: Foundations of Tensor/Low-Rank Computations for AI (ends 12:00 PM) Tutorial: Explain AI Models: Methods and Opportunities in Explainable AI, Data-Centric AI, and Mechanistic Interpretability (ends 12:00 PM) Tutorial: Human-AI Alignment: Foundations, Methods, Practice, and Challenges (ends 12:00 PM) 10 a.m. Education Track [10:00-5:00] s 10:00-5:00 [10:00] Education Material Showcase [10:00] Tutorial led by Julien Besset [11:00] Coffee Break [11:30] Contributed Talk #1 - Application of Multi-Agent Systems for Essay Scoring [11:40] Contributed Talk #2 - Understanding How Neural Networks See [11:50] Contributed Talk #3 - MCP Explorer: Interactive Learning Experience [12:00] Contributed Talk #4 - The Invisible Fingerprints: Protecting Your Digital Images [12:10] Contributed Talk #5 - How to Train a Model: A hands-on, interactive guide to understanding how calculus is used to train AI models. [12:20] Contributed Talk #6 - IoT-MCP: Design and Control IoT Systems via LLMs [12:30] Lunch Break [1:30] Invited Talk #1 - Serena Booth [2:00] Invited Talk #2 - Eunice Jun [2:30] Coffee Break [3:00] Contributed Talk #7 - Understanding Bias and Ethics in AI [3:12] Contributed Talk #8 - Benchmarks 101 [3:24] Contributed Talk #9 - AI-Powered Agritourism Toolkit: Revolutionizing Agritourism with AI and Machine Learning [3:36] Contributed Talk #10 - Interpreting Large Language Models (LLMs) with Geometry [3:48] Contributed Talk #11 - AI & Human Co-Creativity: LLM Hallucinations are Features, Prompts are Experiments, AI is not a being [4:00] Panel Discussion (ends 5:00 PM) noon Expo Demonstration: Efficient LiDAR Processing with AI Models Leveraging Heterogeneous Compute (ends 3:00 PM) Expo Demonstration: Mobile Video Diffusion Transformers (ends 3:00 PM) Expo Demonstration: SwiftEdit: Fast Text-guided Image Editing via One-step Diffusion on a Mobile Device (ends 3:00 PM) Expo Demonstration: Reasoning through Multimodal End-to-End Decision Transformer Networks and Vision Language Action (VLA) models (ends 3:00 PM) Expo Demonstration: Multimodal AI Forensic Search for Video Surveillance (ends 3:00 PM) Expo Demonstration: Interpretable AI for Risk-Based Assessment in Global Supply Chains (ends 3:00 PM) Expo Demonstration: Build verifiable apps using Generative AI and Automated Reasoning (ends 3:00 PM) Expo Demonstration: Building Safe, Compliant, and Observable Agentic Systems for Generative AI Applications (ends 3:00 PM) Expo Demonstration: LLM-Powered Intelligent Data Engineering: From Workflow Design to Ingestion andQuality Assurance (ends 3:00 PM) Expo Demonstration: ContextForge (ends 3:00 PM) Expo Demonstration: BeeAI (ends 3:00 PM) Expo Demonstration: Pushing the boundaries of chemical synthesis with RetroChimera (ends 3:00 PM) Expo Demonstration: Disaggregated LLM Serving on AI Accelerators (ends 3:00 PM) Expo Demonstration: Soft Prompts for On-Device Content Moderation (ends 3:00 PM) Expo Demonstration: Parallel generation with verification on device (ends 3:00 PM) Break: Hosted Lunch (ends 1:30 PM) Expo Demonstration: ALICE: Agentic Logic for Incident and Codebug Elimination (ends 3:00 PM) Expo Workshop: Exploring Trust and Reliability in LLM Evaluation (ends 1:30 PM) Expo Workshop: Checkmate: Fine-tune your own small language model for real-time chess reasoning and gameplay on AWS Trainium (ends 1:30 PM) Expo Demonstration: Learning to Steer LLMs with AI Steerability 360 and In-Context Explainability 360 (ends 3:00 PM) Exhibit Sponsor Hall: Exhibit Sponsor Hall (ends 8:00 PM) Expo Demonstration: Generating group photos of multiple people from text and reference images (ends 3:00 PM) Expo Workshop: Creative and Protective AI for Music and Entertainment (ends 1:30 PM) Expo Demonstration: Who Needs Attention Anyway? Elastic State Models for Real-Time Streaming Tasks (ends 3:00 PM) Exhibitor Spot Talks - Session 1 [12:00-6:00] Talk s 12:00-6:00 Exhibitor Talk - Simular Recycling the World Computer: Fault-Tolerant LLM Training on Idle GPU Capacity Half Is Heroic: Rewarding Non-Answers for Responsible AI Decision-Making Auto-SWE-Bench: Scalable, Real-World Benchmarks for LLM Coding Evaluation Exhibitor Talk - Optiver Tabular and Causal Foundation Modelling: TabDPT and CausalPFN Exhibitor Talk Rights Management Capabilities and Enforcement for AI Music Exploring Pathways into Quantitative Research Semantic Parsing at Bloomberg Entropy by Design: Synthetic Data at Scale ATLAS: AdapTive-LeArning Speculator System for Real-Time LLM Inference Acceleration with Together AI Exhibitor Talk - Cohere Drug Discovery with Large-Scale, Physics-Based Synthetic Data at D. E. Shaw Research Agentic AI: Exploring Evolution and Evaluation Measuring Enterprise Agents - Production Readiness Index and Evaluation Environment Measuring Emergent Behavior in AI Agents - Weights & Biases New Frontier of AI: Eval, RL, and What's Next Latent Thought Models with Variational Bayes Inference-Time Computation Exhibitor Talk - MathWorks: Would you trust your AI model with your life? I for Code: What We’ve Learned (and Whats Next) From Agent Soup to Proper Software Design: Putting the Developer Back in Control of Generative AI with Mellea Realizing Personal and Enterprise AI Twins - Lenovo From RLHF to RL Environments - Welcoming Agents to the Real World Exhibitor Talk - WRITER Exhibitor Talk - Rennaissance Philanthropy Algorithmic Trading with Large-Scale Deep Learning Automated Curation of Foundation-Scale Pretraining Datasets Databricks Presents a New IDP Benchmark Decentralized Diffusion Models The State of Open Source AI and a Look Into the Future (ends 6:00 PM) Expo Workshop: Introduction to Generative Computing (ends 1:30 PM) Expo Workshop: Multimodal Superintelligence Workshop (ends 1:30 PM) Expo Workshop: CausalFairness: An Open-Source Python Library for Causal Fairness Analysis (ends 1:30 PM) Expo Workshop: Large-Scale Real-World Physical AI Systems (ends 1:30 PM) 1 p.m. Affinity Event: New in ML (ends 5:00 PM) Affinity Event: Muslims in ML (ends 5:30 PM) 1:30 p.m. Tutorial: Theoretical Insights on Training Instability in Deep Learning (ends 4:00 PM) Tutorial: Recent Developments in Geometric Machine Learning: Foundations, Models, and More (ends 4:00 PM) Tutorial: Foundations of Imitation Learning: From Language Modeling to Continuous Control (ends 4:00 PM) Tutorial: Scale Test-Time Compute on Modern Hardware (ends 4:00 PM) Tutorial: Data Privacy, Memorization, & Legal Implications in Generative AI: A Practical Guide (ends 4:00 PM) Tutorial: Autoregressive Models Beyond Language (ends 4:00 PM) Tutorial: The Science of Benchmarking: What’s Measured, What’s Missed, and What’s Next (ends 4:00 PM) 4 p.m. Expo Talk Panel: Agentic AI/RL (ends 5:00 PM) Expo Talk Panel: Building an AI Ecosystem for Multiscale Biological Discovery (ends 5:00 PM) Expo Talk Panel: Building Foundational Models for Robotics at Tesla (ends 5:00 PM) Expo Talk Panel: Distributed Orthonormal Updates for Large-Scale Training (ends 5:00 PM) Expo Talk Panel: Ring-1T, Ring-linear and Ming-Flash-Omni: Scaling Knowledge-Enhanced Large Language Models for Reasoning and Efficiency (ends 5:00 PM) Expo Talk Panel: Recent developments in embodied AI (ends 5:00 PM) Break: Coffee Break (ends 4:30 PM) 5:30 p.m. Remarks: Welcome Remarks (ends 6:00 PM) 6 p.m. Affinity Poster Session: Affinity Joint Poster Session (ends 9:00 PM) Reception: Welcome Reception (ends 8:00 PM) WED 3 DEC 7:30 a.m. Registration Desk (ends 6:00 PM) 8 a.m. Break: Coffee Break (ends 8:30 AM) 8:30 a.m. Invited Talk: The Oak Architecture: A Vision of SuperIntelligence from Experience Rich Sutton (ends 9:30 AM) 9 a.m. Exhibit Sponsor Hall: Exhibit Sponsor Hall (ends 5:00 PM) 9:30 a.m. Break: Coffee Break (ends 10:00 AM) Exhibitor Spot Talks - Session 2 [9:30-4:45] Talk s 9:30-5:00 Arm AI Acceleration in Action: ExecuTorch + ONNX on Mobile and Edge The Importance and Fragility of CoT Monitorability Financial Markets: The Ultimate Testbed for Intelligence (Susquehanna) Scaling AI Workloads with Decentralized GPU Networks: A Systems Perspective Dolphin: A Large-Scale ASR Model for East
Executive Summary
This article presents the NeurIPS 2025 schedule, a comprehensive program of events for the annual Conference on Neural Information Processing Systems. The schedule features a diverse range of sessions, including invited talks, oral sessions, poster sessions, workshops, and more. The program showcases the latest advancements in the field of artificial intelligence and machine learning, with a focus on creativity, education, and industry applications. The schedule is organized by day and time, with multiple sessions running concurrently. This article provides a detailed overview of the NeurIPS 2025 schedule, making it an essential resource for attendees and researchers in the field.
Key Points
- ▸ The NeurIPS 2025 schedule features a diverse range of sessions, including invited talks, oral sessions, poster sessions, and workshops.
- ▸ The program showcases the latest advancements in the field of artificial intelligence and machine learning, with a focus on creativity, education, and industry applications.
- ▸ The schedule is organized by day and time, with multiple sessions running concurrently.
Merits
Strength
The NeurIPS 2025 schedule provides a comprehensive program of events, covering a wide range of topics and applications in artificial intelligence and machine learning. This diversity of content is a major strength of the conference, making it an essential resource for researchers and practitioners in the field.
Demerits
Limitation
The NeurIPS 2025 schedule may be overwhelming for attendees, with multiple sessions running concurrently. This could make it difficult for attendees to choose which sessions to attend, potentially leading to missed opportunities to engage with key research and applications.
Expert Commentary
The NeurIPS 2025 schedule is a testament to the growing importance of artificial intelligence and machine learning in modern society. The conference program showcases the latest advancements in the field, with a focus on creativity, education, and industry applications. As the field continues to evolve, it is essential that researchers and practitioners engage with the latest research and applications, to advance the field and address the complex challenges it poses. The NeurIPS 2025 schedule provides a valuable resource for this engagement, making it an essential reference for anyone interested in artificial intelligence and machine learning.
Recommendations
- ✓ Attendees should carefully plan their schedule to ensure they engage with key research and applications.
- ✓ Researchers and practitioners should engage with the latest research and applications in artificial intelligence and machine learning, to advance the field and address complex challenges.
