US CMUDepartment of Philosophy Dec 9
Develops methods for causal discovery and causal representation learning, aiming at explainable and controllable AI from a causal perspective.
2026 Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making ICLR 2026 Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning ICLR 90 T1143 papersGroup size not listed US CMULanguage Technologies Institute Dec 9
Studies language models and AI agents, including code generation, multilingual NLP and evaluation.
2026 Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-tuning of LLM Agents ICLR 2026 Ambig-SWE: Interactive Agents to Overcome Underspecificity in Software Engineering ICLR 81 T1124 papers15 members37 alumniUS CMULanguage Technologies Institute Dec 9
Studies speech and audio processing, machine learning for audio and privacy-preserving speech technologies.
2026 VideoJudge: Bootstrapping Enables Scalable Supervision of MLLM-as-a-Judge for Video Understanding ICLR 2026 φ-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal Models CVPR 68 T190 papersGroup size not listed US CMURobotics Institute Dec 9
Studies computer vision, including 3D perception for autonomous vehicles, recognition and dynamic scene reconstruction.
2026 Any4D: Unified Feed-Forward Metric 4D Reconstruction CVPR 2026 Building a Precise Video Language with Human-AI Oversight CVPR 63 T177 papers7 members50 alumniUS CMUMachine Learning Department Dec 9
Eric Xing John F. Nash, Jr. Professor of Machine Learning, Director of MBZUAI-CMU Institute of Virtual and Programmable Cells, Associate Department Head Studies machine learning and AI systems, including large foundation models, distributed learning and computational biology.
2026 In-context Learning of Evolving Data Streams with Tabular Foundational Models KDD 2026 Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning AAAI 55 T177 papers16 members60 alumniUS CMULanguage Technologies Institute Dec 9
Lei Li Associate Professor Studies large language models, machine translation and AI for science, including efficient LLM inference.
2026 AdaSplash-2: Faster Differentiable Sparse Attention ICML 2026 CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback ACL 52 T177 papers19 members16 alumniUS CMURobotics Institute Dec 9
Studies autonomous aerial and ground robots, including SLAM, perception and navigation in degraded environments.
2026 Any4D: Unified Feed-Forward Metric 4D Reconstruction CVPR 2026 AnyThermal: Towards Learning Universal Representations for Thermal Perception ICRA 52 T183 papers42 members75 alumniUS CMUMachine Learning Department Dec 9
Steven Wu Associate Professor Studies trustworthy machine learning, including privacy, AI safety, interactive learning and reinforcement learning.
2026 All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning ICLR 2026 Back to Blackwell: Closing the Loop on Intransitivity in Multi-Objective Preference Fine-Tuning NeurIPS 52 T171 papers8 members16 alumniUS CMUElectrical and Computer Engineering Dec 9
Designs efficient algorithms and systems for training and serving large language models, including sparsity and long-context inference.
2026 AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs ↗ NeurIPS 2026 CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documents ↗ EMNLP 51 T154 papers5 members13 alumniUS CMULanguage Technologies Institute Dec 9
Studies social commonsense reasoning and the social impact and safety of language models.
2026 "I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AI CSCW 2026 Ambig-SWE: Interactive Agents to Overcome Underspecificity in Software Engineering ICLR 51 T1101 papers7 members2 alumniUS CMURobotics Institute Dec 9
Studies computer vision for understanding human activity, including egocentric vision and human motion forecasting.
2026 BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning ICLR 2026 DuoMo: Dual Motion Diffusion for World-Space Human Reconstruction CVPR 50 T159 papers3 members8 alumniUS CMUComputer Science Department Dec 9
Tuomas Sandholm Angel Jordan University Professor of Computer Science Studies AI for strategic reasoning, including game solving, mechanism design and market optimization.
2026 Convergence of Regret Matching in Potential Games and Constrained Optimization ICLR 2026 Efficient representations for team and imperfect-recall equilibrium computation Artificial Intelligence 50 T155 papers4 members43 alumniUS CMURobotics Institute Dec 9
Studies safe and efficient robot control and human-robot collaboration, including verification of neural networks.
2026 Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories RSS 2026 Inference-Time Robot Behavior Steering through Physically-Aware Reconfiguration of Task-Structure CoRL 43 T1102 papers15 members34 alumniUS CMUComputer Science Department Dec 9
Builds machine learning systems and compilers for deploying models efficiently across hardware.
2026 AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding EuroSys 2025 APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding ICLR 43 T145 papers48 members31 alumniUS CMURobotics Institute Dec 9
Studies generative models for image synthesis and editing, connecting computer vision, graphics and learning.
2026 DeltaQuant: 4-bit Video Diffusion Models with Spatiotemporal Delta Smoothing CVPR 2026 FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models ICML 42 T144 papers5 members17 alumniUS CMULanguage Technologies Institute Dec 9
Studies language models for code generation and grounded language understanding and generation.
2026 From Reproduction to Replication: Evaluating Research Agents with Progressive Code Masking ICLR 2026 Generative Value Conflicts Reveal LLM Priorities ICLR 38 T156 papers5 members1 alumnusUS CMURobotics Institute Dec 9
Studies robot learning and self-supervised learning, including curiosity-driven exploration and generalist robot policies.
2026 3D-DLP: Self-supervised 3D Object-centric Scene Representation Learning ICML 2026 Expanding the Capabilities of Reinforcement Learning via Text Feedback ICML 35 T138 papers13 members24 alumniUS CMUComputer Science Department Dec 9
Studies robust and reliable machine learning, including distribution shift, adversarial robustness and adapting foundation models.
2026 Annotations Mitigate Post-training Mode Collapse ICML 2026 Demystifying Entropy Control in LLM RL Training: Theoretical Analysis and Dynamic Scheduling ICML 34 T147 papers6 members10 alumniUS CMURobotics Institute Dec 9
Studies learning-based control for agile robots, combining control theory and machine learning.
2026 AM-Bench: A Modular Simulation Suite and Benchmark for Aerial Manipulation Policy Learning CoRL 2026 BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning ICLR 34 T137 papers17 members26 alumniUS CMUComputer Science Department Dec 9
Christos Faloutsos Fredkin University Professor of Computer Science Mines large graphs and time series, with work on graph patterns, anomaly detection and fraud detection.
2026 From Big Time Series Forecasting to Foundation Models for Structured Data VLDB 2026 Understanding the Implicit Biases of Design Choices for Time Series Foundation Models ICLR 33 T155 papersGroup size not listed