Differentiable Analysis Blueprint

Session

Foundations and Scope

5 Mar 2026, 14:10

4/3-006 - TH Conference Room (CERN)

2. Automatic Differentiation in HEP and Differentiable Systematics [30' + 15']

Lukas Alexander Heinrich (Technische Universitat Munchen (DE))

05/03/2026, 14:10

3. Differentiating Discrete Operations [10' + 5']

Annalena Kofler (Technical University Munich)

05/03/2026, 14:55

Discrete decisions arise in simulators and analysis pipelines across disciplines such as biophysics, robotics, and HEP. Because these operations are inherently non-differentiable, the machine learning community has developed a range of methods to obtain such gradients. In this talk, I outline why a statistical perspective on gradient estimation is essential in this setting and give a brief...

5. Discussion

05/03/2026, 15:10