Romeo Valentin
Employers on the program
- 2024–2025Stanford Intelligent Systems Lab5 talks
Appearances by year
- JuliaCon
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Jul 22, 2025 | JuliaCon 2025 | JuliaCon | speaker | Algorithms for Validation of Dynamical Systems as Stanford Intelligent Systems Lab This talk demonstrates practical safety validation techniques from the new book "Algorithms for Validation" using Julia's ecosystem. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | lightning | KSVD.jl: A case study in performance optimization. as Stanford Intelligent Systems Lab We present KSVD.jl, an extremely fast implementation of the K-SVD algorithm, including extensive single-core optimizations, shared-state multithreading,…Show lessWe present KSVD.jl, an extremely fast implementation of the K-SVD algorithm, including extensive single-core optimizations, shared-state multithreading, pipelined GPU offloading, and an optional distributed executor. | Slides |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | speaker | My Experience With Deep Learning Research in Julia. as Stanford Intelligent Systems Lab I spent about one year leveraging Julia for DL research in Computer Vision, including using Flux.jl, FastAI.jl, Metalhead.jl, and loading python models through…Show lessI spent about one year leveraging Julia for DL research in Computer Vision, including using Flux.jl, FastAI.jl, Metalhead.jl, and loading python models through PyChainCall.jl. | |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | lightning | RunwayPNPSolve.jl: Uncertainty-Aware Pose Estimation. as Stanford Intelligent Systems Lab We present RunwayPNPSolve.jl, a framework for uncertainty-aware pose estimation for visual landing applications with multiple methods including real-time…Show lessWe present RunwayPNPSolve.jl, a framework for uncertainty-aware pose estimation for visual landing applications with multiple methods including real-time least-squares minimization + resampling, Monte-Carlo Markov-Chain, and a linear approximation, by leveraging the existing Julia package ecosystem. | Slides |
| Jul 9, 2024 | JuliaCon 2024 | JuliaCon | poster | ThreadedDenseSparseMul.jl: Multi-threaded Dense-Sparse Matmul. as Stanford Intelligent Systems Lab We present ThreadedDenseSparseMul.jl, a library that efficiently computes dense-sparse multiplications and outperform competing packages (and Base.SparseArrays)…Show lessWe present ThreadedDenseSparseMul.jl, a library that efficiently computes dense-sparse multiplications and outperform competing packages (and Base.SparseArrays) in about 20 lines of code (for the basic functionality) by leveraging Polyester.jl. | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aaron Trowbridge | 2 | — | 2025 |
| Aayush Sabharwal | 2 | — | 2025 |
| Alexander Leong | 2 | — | 2025 |
| Anant Thazhemadam | 2 | — | 2025 |
| Anas Abdelrehim | 2 | — | 2025 |
| Andrew Claster | 2 | — | 2025 |
| Anshul Singhvi | 2 | — | 2025 |
| Arno Strouwen | 2 | — | 2025 |
| Ashutosh Bharambe | 2 | — | 2025 |
| Avinash Subramanian | 2 | — | 2025 |
| Chris Rackauckas | 2 | — | 2025 |
| Cody Tapscott | 2 | — | 2025 |
| Dhairya Gandhi | 2 | — | 2025 |
| Fredrik Bagge Carlson | 2 | — | 2025 |
| Fredrik Ekre | 2 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.