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
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