Downloads 2025
Number of events: 75
- 2nd Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences
- AI4Mat-NeurIPS-2025: NeurIPS 2025 Workshop on AI for Accelerated Materials Design
- AI and ML for Next-Generation Wireless Communications and Networking (AI4NextG @ NeurIPS’25)
- AI for non-human animal communication
- AI for Science: The Reach and Limits of AI for Scientific Discovery
- AI That Keeps Up: Workshop on Continual and Compatible Foundation Model Updates (CCFM)
- AI Virtual Cells and Instruments: A New Era in Drug Discovery and Development
- Algorithmic Collective Action
- Artificial Intelligence for Music: Where Creativity Meets Computation
- Autoregressive Models Beyond Language
- Biosecurity Safeguards for Generative AI
- CauScien: Uncovering Causality in Science
- CogInterp: Interpreting Cognition in Deep Learning Models
- Constrained Optimization for Machine Learning
- Data on the Brain and Mind
- Data Privacy, Memorization, & Legal Implications in Generative AI: A Practical Guide
- Deep Learning for Code in the Agentic Era
- Demystifying depth: Principles of learning in deep neural networks
- Differentiable Learning of Combinatorial Algorithms: From Theory To Practice
- Dynamics at the Frontiers of Optimization, Sampling, and Games
- Embodied World Models for Decision Making
- Energy and Power as First-Class ML Design Metrics
- Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling
- Explain AI Models: Methods and Opportunities in Explainable AI, Data-Centric AI, and Mechanistic Interpretability
- Foundation Models for the Brain and Body Workshop
- Foundations of Imitation Learning: From Language Modeling to Continuous Control
- Foundations of Reasoning in Language Models
- Foundations of Tensor Computations for AI
- Frontiers in Probabilistic Inference: Learning meets Sampling
- Generative AI in Finance
- GenProCC: 1st Workshop on Generative and Protective AI for Content Creation
- GPU-Accelerated and Scalable Optimization (ScaleOpt)
- Human-AI Alignment: Foundations, Methods, Practice, and Challenges
- Imageomics: Discovering Biological Knowledge from Images Using AI
- Kyunghyun Cho - Invited Talk
- LAW 2025: Bridging Language, Agent, and World Models for Reasoning and Planning
- Learning from Time-Series for Health
- Learning to Sense (L2S)
- Lock-LLM Workshop: Prevent Unauthorized Knowledge Use from Large Language Models - Deep Dive into Un-Distillate, Un-Finetunable, Un-Compressible, Un-Editable, and Un-Usable
- Machine Learning and the Physical Sciences
- MATH-AI: The 5th Workshop on Mathematical Reasoning and AI
- Melanie Mitchell - Invited Talk
- ML for Systems
- ML x OR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making
- Model Merging: Theory, Practice and Applications
- Multimodal Algorithmic Reasoning Workshop
- NeurIPS 2025 Workshop on Space in Vision, Language, and Embodied AI
- New Frontiers of Hyperparameter Optimization: Recent advances and open challenges in theory and practice
- New Perspectives in Graph Machine Learning
- Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks
- OPT 2025: Optimization for Machine Learning
- Planning in the Era of Language Models
- Recent Advances in Time Series Foundation Models: Have We Reached the ‘BERT Moment’?
- Recent Developments in Geometric Machine Learning: Foundations, Models, and More
- Regulatable ML: Towards Bridging the Gaps between Machine Learning Research and Regulations
- Reliable ML from Unreliable Data
- Rich Sutton_The Oak Architecture: A Vision of SuperIntelligence from Experience
- Scale Test-Time Compute on Modern Hardware
- Second Workshop on Aligning Reinforcement Learning Experimentalists and Theorists (ARLET)
- Structured Probabilistic Inference and Generative Modeling
- Symmetry and Geometry in Neural Representations
- Tackling Climate Change with Machine Learning
- The Art of (Artificial) Intelligence
- The First Workshop on Efficient Reasoning
- Theoretical Insights on Training Instability in Deep Learning
- The Science of Benchmarking: What’s Measured, What’s Missed, and What’s NextThe Science of Benchmarking: What’s Measured, What’s Missed, and What’s Next
- The Second Workshop on GenAI for Health: Potential, Trust, and Policy Compliance
- UniReps: Unifying Representations in Neural Models
- UrbanAI: Harnessing Artificial Intelligence for Smart Cities
- What Can('t) Transformers Do?
- What Makes a Good Video: Next Practices in Video Generation and Evaluation
- Workshop on Mechanistic Interpretability
- Workshop on Multi-Turn Interactions in Large Language Models
- Workshop on Scaling Environments for Agents
- Zeynep Tufekci- Invited Talk