Leads the Learning & Adaptive Systems group, working on probabilistic machine learning, Bayesian optimization, safe reinforcement learning and uncertainty…
Probabilistic & causal inference
Reinforcement learning
2026A Theoretical Analysis of Test-Driven Code GenerationNeurIPS
2026A Unified Density Operator View of Flow Control and MergingICML
Studies natural language processing and computational linguistics, including formal language theory of neural language models, morphology and probabilistic…
Multilingual, translation & linguistics
Large language models
Probabilistic & causal inference
2025A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading BehaviorACL
2025Are Language Models Efficient Reasoners? A Perspective from Logic ProgrammingNeurIPS
Leads the Data Analytics Lab, studying deep learning theory, the optimization and generalization of neural networks, and natural language understanding with…
Learning theory & optimization
Large language models
Data management & big data
2025Autoregressive Distillation of Diffusion TransformersCVPR
2025Avoiding spurious sharpness minimization broadens applicability of SAMICML
Researches computer security and privacy of machine learning, including adversarial examples, training-data extraction and prompt injection attacks on…
Trustworthy & safe ML
Large language models
2026Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsACL
2026CaMeLs Can Use Computers Too: System-level Security for Computer Use AgentsNeurIPS
Leads the Sensing, Interaction & Perception Lab, building wearable and mixed-reality systems that use machine learning on sensor data for interaction and…
Interfaces & interaction techniques
Accessibility, health & wellbeing
Robot perception & SLAM
2026CapFM: A Foundation Model for Capacitive Touch SensingUIST
2026EgoExoMoCap: Distributed Ego-Exo Human Motion CaptureECCV
Leads the Secure, Reliable and Intelligent Systems Lab, working on certified robustness of neural networks, safety and security of large language models, and…
Trustworthy & safe ML
Large language models
2026Adaptive Generation of Bias-Eliciting Questions for LLMsICML
Leads the Computational Robotics Lab, working on physics-based modelling and control for robots, computational fabrication of robotic devices and character…
Planning, control & multi-robot systems
Physics-based simulation & animation
Geometry processing & modeling
2026A Unified Homogenization Framework for Straight- and Curved-Crease Origami MaterialsTOG
2026IsoGami: Rigid-Deployable Kirigami Materials From Isohedral TilingsSIGGRAPH
31 T1 · 59 papers · 10 members · 17 alumni
CHETH ZurichInformation Technology and Electrical Engineering (D-ITET)
Designs energy-efficient hardware for machine learning, including the open-source PULP RISC-V platform, quantized neural network accelerators and edge AI…
Accelerators, chips & architecture
Efficient training & inference
2026Optimal Brain Restoration for Joint Quantization and Sparsification of LLMsICLR
2026S-CEReBrO: Breaking the Memory Barrier in Continuous EEG MonitoringMICCAI
26 T1 · 278 papers · Group size not listed
CHETH ZurichDepartment of Mechanical and Process Engineering
Leads the Language, Reasoning and Education Lab, studying reasoning in language models and NLP for education such as intelligent tutoring and automated…
Reasoning & agents
Language & society
Learning & education technology
2025Diras: Efficient llm annotation of document relevance for retrieval augmented generationNAACL
2025From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement LearningEMNLP
25 T1 · 45 papers · 11 members · 5 alumni
CHETH ZurichInformation Technology and Electrical Engineering (D-ITET)
Leads the Computer Vision and Learning Group, modelling human motion and human-scene interaction for animatable virtual humans and 3D human reconstruction.
3D vision & neural rendering
Video understanding
2026BulletTime: Decoupled Control of Time and Camera Pose for Video GenerationCVPR
Leads the Interactive Geometry Lab, working on geometry processing, shape deformation and editing, discrete differential geometry and geometric deep learning.
Geometry processing & modeling
Graph learning
20262D Gaussian Splatting for Bézier Spline Line Art VectorizationSIGGRAPH
2026Fabricating 3D Shapes by Shrinking-Thread EmbroiderySIGGRAPH Asia
Builds cloud computing and storage systems, including efficient data pipelines and resource management for large-scale machine learning training and serving.
Efficient training & inference
Distributed, cloud & edge systems
2026Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsACL
2026Mixtera: A Data Plane for Foundation Model TrainingSIGMOD
17 T1 · 34 papers · 10 members · 36 alumni
CHETH ZurichDepartment of Mechanical and Process Engineering