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Presentations
These are the slides behind my major presentations and posters. They are all released with a CC-BY license. The source code for this website (built with Jekyll) is available in this repo.
- 2025 On meta prompt optimization and coding agents
- 2025 Language model alignment and tool use
- 2025 On transport, flows, and physics
- 2025 Demystifying language models
- 2025 On prompt and text improvement with DSPy & TextGrad
- 2025 AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
- 2025 On amortized optimization for RL, Bayesian optimization, and biology
- 2024 Transport and flows between distributions over distributions
- 2024 Lecture on dimensionality reduction with MDS and TSNE
- 2024 Lecture on LLMs
- 2024 On LLM prompt optimization and amortization
- 2024 Differentiable optimization and robotics
- 2024 Amortized optimization for OT and LLMs
- 2024 Amortized optimization and AI
- 2024 Lagrangian OT Poster
- 2024 End-to-end learning geometries for graphs, dynamical systems, and regression
- 2023 On amortizing convex conjugates for optimal transport
- 2023 TaskMet Poster
- 2023 Meta Optimal Transport
- 2023 Learning with differentiable and amortized optimization
- 2023 On optimal control and machine learning
- 2023 Continuous optimal transport
- 2023 Amortized optimization
- 2023 Amortized optimization for optimal transport
- 2022 Differentiable optimization
- 2022 Differentiable control
- 2022 Amortized optimization
- 2022 Amortized optimization for computing optimal transport maps
- 2021 On the model-based stochastic value gradient for continuous RL
- 2021 Riemannian Convex Potential Maps
- 2020 The differentiable cross-entropy method
- 2019 Differentiable optimization-based modeling for machine learning (PhD Thesis)
- 2018 PyTorch libraries for linear algebra, optimization, and control
- 2018 OptNet, end-to-end task-based learning, and control (ISMP)
- 2018 Differentiable MPC
- 2018 Differentiable MPC Poster
- 2017 OptNet: Differentiable Optimization as a Layer in Neural Networks
- 2017 Input Convex Neural Networks