Talks
Conferences
2024
- PyData Global: Automatic differentiation: a tale of two languages (abstract, slides, recording)
- Julia Optimization Days: Automatic differentiation: Julia’s most confusing superpower? (abstract, slides)
- JuliaCon: Gradients for everyone: a quick guide to autodiff in Julia (abstract, slides, recording)
- JuliaCon: Fast and generic Hidden Markov Models (abstract, slides, recording)
- JuliaCon: Interfaces.jl: base and package interface tests for your objects (abstract, recording)
2023
- Workshop “Exploring synergies: Machine Learning Meets Physics & Optimization”: Every solution, everywhere, all at once: turning optimization solvers into probability distributions (abstract)
- Journées Polyèdres et Optimisation Combinatoire: What is the gradient of a Linear Program? Automatic differentiation on a polytope
- Julia and Optimization Days: Graphs in Julia - on the edge of glory (slides)
- Julia and Optimization Days: Writing fast Julia code (slides)
2022
- JuliaCon: InferOpt.jl: combinatorial optimization in ML pipelines (abstract & recording, slides)
- JuliaCon: ImplicitDifferentiation.jl: differentiating implicit functions (abstract & recording, slides)
- Journées SMAI-MODE: Recherche d’itinéraires dans un réseau ferroviaire : apprendre à mieux optimiser (abstract)
- ROADEF: Learning to Solve Stochastic Multi-Agent Path Finding (abstract)
2020
2019
Invitations & seminars
2025
- Laboratoire Jean Kuntzmann, Grenoble: Sparser, better, faster, stronger - automatic differentiation with a lot of zeros (slides)
- Laboratoire Ville Mobilité Transport: Mixing data, optimization and decision: the role of automatic differentiation (slides)
- Califrais, Paris: A tutorial on algorithmic differentiation (slides)
- Julia Meetup Paris: Automatic differentiation: a tale of two languages (slides)
- Inria Paris: Sparse automatic differentiation - from theory to practice (slides)
2024
- INDY lab, EPFL: Sparse automatic differentiation - the fastest Jacobians in the West (slides)
- INDY lab, EPFL: A primer on algorithmic differentiation (slides)
- Institut de Mathématiques de Bourgogne, Dijon: Deep learning meets combinatorial optimization - a tale of missing gradients (abstract, slides)
2023
- Forum Entreprises & Mathématiques: Railway to shell: des trains, des maths et du code (slides)
- Swiss Data Science Center, Lausanne: Every solution, everywhere, all at once: turning optimization solvers into probability distributions
2022
- MIT CSAIL, Cambridge (USA): Learning with Combinatorial Optimization Layers: A Probabilistic Approach