| 2008 |
|---|
| 13 | EE | Martin Burger,
Andreas Zeller:
Replaying and isolating failing multi-object interactions.
WODA 2008: 71-77 |
| 12 | EE | Paolo Favaro,
Stefano Soatto,
Martin Burger,
Stanley Osher:
Shape from Defocus via Diffusion.
IEEE Trans. Pattern Anal. Mach. Intell. 30(3): 518-531 (2008) |
| 11 | EE | Martin Burger,
Christina Stöcker,
Axel Voigt:
Finite Element-Based Level Set Methods for Higher Order Flows.
J. Sci. Comput. 35(2-3): 77-98 (2008) |
| 2007 |
|---|
| 10 | EE | Martin Burger,
Robert S. Eisenberg,
Heinz W. Engl:
Inverse Problems Related to Ion Channel Selectivity.
SIAM Journal of Applied Mathematics 67(4): 960-989 (2007) |
| 2005 |
|---|
| 9 | EE | Martin Burger,
Karsten Lehmann,
Andreas Zeller:
Automated debugging in eclipse.
OOPSLA Companion 2005: 184-185 |
| 8 | EE | Martin Burger,
Stanley Osher,
Jinjun Xu,
Guy Gilboa:
Nonlinear Inverse Scale Space Methods for Image Restoration.
VLSM 2005: 25-36 |
| 7 | EE | Martin Burger,
Andreas Hofinger:
Regularized Greedy Algorithms for Network Training with Data Noise.
Computing 74(1): 1-22 (2005) |
| 2004 |
|---|
| 6 | EE | Paolo Favaro,
Martin Burger,
Stefano Soatto:
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion.
ECCV (1) 2004: 257-269 |
| 2003 |
|---|
| 5 | EE | Philipp Bouillon,
Martin Burger,
Andreas Zeller:
Automated debugging in Eclipse (at the touch of not even a button).
OOPSLA Workshop on Eclipse Technology eXchange 2003: 1-5 |
| 4 | EE | Martin Burger,
Andreas Neubauer:
Analysis of Tikhonov regularization for function approximation by neural networks.
Neural Networks 16(1): 79-90 (2003) |
| 3 | EE | Martin Burger,
René Pinnau:
Fast Optimal Design of Semiconductor Devices.
SIAM Journal of Applied Mathematics 64(1): 108-126 (2003) |
| 2001 |
|---|
| 2 | EE | Martin Burger,
Andreas Neubauer:
Error Bounds for Approximation with Neural Networks.
Journal of Approximation Theory 112(2): 235-250 (2001) |
| 2000 |
|---|
| 1 | EE | Martin Burger,
Heinz W. Engl:
Training neural networks with noisy data as an ill-posed problem.
Adv. Comput. Math. 13(4): 335-354 (2000) |
