These are the slides behind my major presentations and posters. They are all released with a CC-BY license. You can subscribe to these posts as an RSS feed here. The source code for this website is available in this repo. It uses Jekyll to take the list of presentations and statically generate this page along with individual linkable pages for them.

1. 2025 AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs
2. 2025 On amortized optimization for RL, Bayesian optimization, and biology
3. 2024 Transport and flows between distributions over distributions
4. 2024 Lecture on dimensionality reduction with MDS and TSNE
5. 2024 Lecture on LLMs
6. 2024 On LLM prompt optimization and amortization
7. 2024 Differentiable optimization and robotics
8. 2024 Amortized optimization for OT and LLMs
9. 2024 Amortized optimization and AI
10. 2024 Lagrangian OT Poster
11. 2024 End-to-end learning geometries for graphs, dynamical systems, and regression
12. 2023 On amortizing convex conjugates for optimal transport
13. 2023 TaskMet Poster
14. 2023 Meta Optimal Transport
15. 2023 Learning with differentiable and amortized optimization
16. 2023 On optimal control and machine learning
17. 2023 Continuous optimal transport
18. 2023 Amortized optimization
19. 2023 Amortized optimization for optimal transport
20. 2022 Differentiable optimization
21. 2022 Differentiable control
22. 2022 Amortized optimization
23. 2022 Amortized optimization for computing optimal transport maps
24. 2021 On the model-based stochastic value gradient for continuous RL
25. 2021 Riemannian Convex Potential Maps
26. 2020 The differentiable cross-entropy method
27. 2019 Differentiable optimization-based modeling for machine learning (PhD Thesis)
28. 2018 PyTorch libraries for linear algebra, optimization, and control
29. 2018 OptNet, end-to-end task-based learning, and control (ISMP)
30. 2018 Differentiable MPC
31. 2018 Differentiable MPC Poster
32. 2017 OptNet: Differentiable Optimization as a Layer in Neural Networks
33. 2017 Input Convex Neural Networks