Maria Esteban

PhD student in Geometric deep learning at @AMLabUvA with @erikjbekkers 🌟

[Maria Esteban @Maria__Esteban]

🏎️Drift in the right direction🏎️

Introducing kernel-gradient drifting models: a reformulation of drifting models where the kernel itself defines the direction of motion through its gradient.

📜Paper: https://t.co/1ILDAZj66Y
💾Notebook: https://t.co/9tzqaXAyz7

[Krishna Balasubramanian @krizna_b]

🚨 🧵 New paper: Finite-particle rates for drifting models.

Drifting trains 1-step generators by moving model μ toward data ν with a conservative or non-conservative velocity field. Consider data on x-axis, model on the y-axis. These 2 fields yield 2 different motions. 1/7

[Maria Esteban @Maria__Esteban]

Work done with the amazing team of  @JCarrascoPollo , @wellingmax @jwvdm @erikjbekkers @FEijkelboom❤️ Thanks for making this possible!

[Maria Esteban @Maria__Esteban]

🏎️Drift in the right direction🏎️

Introducing kernel-gradient drifting models: a reformulation of drifting models where the kernel itself defines the direction of motion through its gradient.

📜Paper: https://t.co/1ILDAZj66Y
💾Notebook: https://t.co/9tzqaXAyz7

[Maria Esteban @Maria__Esteban]

3. Improved performance across a range of tasks 📈