Talks and presentations

  • NESCW, Princeton. "Physics-informed learning under mixing: How physical knowledge speeds up learning". Slides.
  • IfA coffee talk, ETH Zurich, Switzerland. "Foundation Control Policies: From Multitask LQR To Invariant Joint-Embedding Predictive Architectures". Slides.
  • AI Days conference, Fribourg, Switzerland. "Learning What to Share: Feature Learning for Adversarially Robust Federated Systems". Slides
  • OXCAV Seminar, Oxford, UK. "Foundation Control Policies: From Multitask LQR To Invariant Joint-Embedding Predictive Architectures". Slides.
  • CDC 2025, Rio, Brazil. "Learning Stabilizing Policies via an Unstable Subspace Representation". Slides.
  • CDC 2025, Rio, Brazil. "Coreset-Based Task Selection for Sample-Efficient Meta-RL". Slides
  • CDC 2024, Milan, Italy. "Asynchronous Heterogeneous Linear Quadratic Regulator Design". Slides.
  • L4DC, 2024, Oxford, UK. "Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for Model-free LQR". Slides. Video.
  • ACC, 2024, Toronto, Canada. "Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach". Slides.