Downloads 2026
Number of events: 102
- 2nd Embodied Spatial Reasoning (ESR) Workshop
- 2nd Workshop on Advances in Representation Learning for Earth Observation (REO-2)
- 2nd Workshop on Principles of Generative Modeling (PriGM)
- 8th Robot Learning Workshop: Is Physical AI Going Zero-Shot?
- Agentic AI for Biological Discovery: Toward Closed-Loop Life-Science Intelligence
- AgenticOS: Co-designing Systems and ML Foundations of an OS Layer for Agentic AI
- Agentic Systems for Molecular Sciences
- AI4Mat-NeurIPS-2026: NeurIPS-2026 Workshop on AI for Accelerated Materials Design
- AI Agents for Biomedical Imaging and Multimodal Clinical Data
- AI and Science: Evolution or Extinction?
- AI and the Self: Human Identity, Authenticity, and Agency in the Age of AI
- AI at Scale for Clinical Impact (ASCI): Cancer Pathology Foundation Models
- AIDaR: AI Data Readiness for Scientific Discovery
- AI for Chip Design
- AI for Drug Discovery: Bridging the Translation Gap
- AI for Meta-Science: Scaling and Organizing Science in the Age of AI Scientists
- AI for Peace
- AI for Science: Verification in the Age of AI Scientists
- AI for Stochastic Dynamics: From Theoretical Foundations to Scientific Applications
- AI for Verifiable Coding: Human-Aligned Collaborative Agents for Autoformalization, Proofs, and Heuristics
- AI Foundations for Power Grids: From Models to Deployment at Scale
- ATTRIB: Workshop on Data Attribution and Provenance
- AXIOM: Foundations of Efficient Deep Learning
- Beyond Next Token Prediction: Diffusion and Flow Models for Next-Generation Decoding
- Beyond Private Training: The New Landscape of AI Privacy
- Bridging Optimal Transport, Learning and Structured Data: Toward Geometric Distributional Learning
- Can We Trust AI Evaluation? Robustness, Causality, and Risk in Modern AI Assessment
- Can We Trust the Judge? Building Reliable Evaluation for Language Models
- Child Safety in AI
- Continual Learning for Enterprise AI Agents
- Continual Learning in the Era of Foundation Models and Embodied Agents
- Continual World Models
- DevAI: Developmental Perspectives on AI
- Diffusion Language Models: Foundations, Efficiency, and Reasoning
- Dynamics at the Frontiers of Optimization, Sampling, and Games
- EconML: Economics for Machine Learning
- ELLIS Workshop on the Foundations of LLM Post-Training in Changing Environments
- E-Values: From Statistics to ML
- Foundation Models for Temporal Systems: From Forecasting to World Modeling
- Foundation Models for the Brain and Body
- Foundations of Agentic Systems Theory (FAST)
- Foundations of Language Model Security: Theory, Practice, and Fundamental Limits
- Generalization for Time Series in Tight Settings: Latency, Inference, Memory, prIvacy and Sustainability (TS-LIMITS)
- Grounded and Faithful Vision-Language Models for Real-World Deployment
- Grounded User Simulation for Model Evaluation and Training:\\ Diversity, Fidelity, and Validity
- Human-AI Coevolution: Measuring Human-Agent Teams in the Agentic Era
- I Can’t Believe It’s Not Better (ICBINB): Failure Modes of AI in Biology
- Integrating Generative and Experimental Platforms for Biomolecular Design (GEM)
- Interpretability as a Science: Toward Rigorous Foundations for Understanding LLMs
- Interpretability for Discovery: Understanding and Discovering Novel Knowledge in AI Models
- Interpreting Agent Behavior (IAB): Human-Centered Interpretation for Understanding Agents, Humans, and Interaction
- LIGHT: Deployable Small Foundation Models
- Machine Learning for Simulations in Biology and Chemistry - The 2nd SIMBIOCHEM Workshop
- Machine Learning for Spatially Resolved High-dimensional Biology
- Managing Agents that Manage Agents: Workshop on Responsible Use of Meta-Agents that Build, Optimize, and Supervise Other Agents
- MATH-AI: The 6th Workshop on Mathematical Reasoning and AI
- Medical Reasoning with Multimodal Foundation Models
- ML for Systems
- NEmo: Neuro-Symbolic Embodied Intelligence
- Neural Network Artifacts as a New Data Modality
- NeurIPS 2026 Workshop on Dynamic Alignment in Human-AI Coupled Systems
- NeurIPS 2026 Workshop on SaTQuML: Secure and Trustworthy Quantum Machine Learning
- NeurIPS 2026 Workshop on Tackling Climate Change with Machine Learning
- NeurIPS’26 Workshop on AI-Native Academia: Authorship, Peer Review, and Conference Governance under AI
- On-Device Intelligence: Foundation Models under Real-World Constraints
- Open, Collaborative, and Decentralized Training of Foundation Models
- OPT 2026: Optimization for Machine Learning
- Personalized, Aligned, Long-Term Memory for AI Systems (PALM) Workshop
- Physical Understanding for Decision-Making: Bridging Foundation Models and Reliable Agents
- Physical World Model
- Privacy in the Era of Large Opaque Models: Theoretical, Legal, and Practical Perspectives
- Proposal: 2nd Workshop on Agentic AI Benchmark and Application for Enterprise Tasks
- PTA: From Pretrained Representations to Acting Agents -- Bridging Pretraining, Planning, and Test-Time Decision Making
- Real-Time Conversational Agents: Toward Natural Multimodal Interaction
- Real-Time Multimodal Conversational AI
- Reinforcement Learning for Experimental Sciences: Bridging the Simulation-to-Reality Gap
- Representations for the Physical Sciences
- Responsible Communication of Machine Learning Research in Biomedicine
- RoboPAD: Post-Training Adaptation of Robot Foundation Models
- Robot Learning with World Models: Capabilities, Frontiers, and Challenges
- Second Workshop on MLxOR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making
- Self-Evolving Diversity-Driven Search for Robust AI Systems
- Sim2Science: ML with Imperfect Scientific Models
- SLM-Agents: 1st Workshop on SLMs for Agentic Systems
- SocialAgent: Second Workshop on Large Language Models for Social Reasoning and Simulation
- Symmetry and Geometry in Neural Representations NeurIPS Workshops 2026
- The Agentic Web: Networked, Continually-Adapting Agent Ecosystems
- The BabyVLM Workshop: Toward Developmentally Plausible Multimodal Systems
- The Third Workshop on Agents in the Wild: Safety, Security, and Beyond
- The Third Workshop on GenAI for Health: Agentic Systems, Clinical Trust, and Future Potential
- The Third Workshop on Long-Context Foundation Models
- Transitioning from Pre-training to Post-training
- Trustworthy AI for Good (AI4GOOD) Workshop
- Who Verifies the Agents? Toward Reliable Agent Development
- Workshop for Autonomous Machine Learning Research
- Workshop on Evaluation of Interactive Agents
- Workshop on Resource-Aware Agentic AI
- Workshop on the Linguistic Principles for Foundation Models
- Workshop on Towards Test-Time Continual Learning Agents
- World Models for High-Stakes Health: Reliable Clinical Trial Simulation and Intervention-Aware Reasoning
- World Models in Physical AI
- XAI4science: Knowledge Discovery and Trust through Interpretable Foundation Models
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