Publications

For a full list, see my Google Scholar page.

Balazs Nemeth, Tom Haber, Jori Liesenborgs, Win Lamotte (2020). From Conditional Independence to Parallel Execution in Hierarchical Models. ICCS.

Project Project DOI

Tom Haber, Frank van Reeth (2020). Improving the runtime performance of non-linear mixed-effects model estimation. EuroPAR.

Project DOI

Balazs Nemeth, Tom Haber, Jori Liesenborgs, Win Lamotte (2020). Automatic Parallelization of Probabilistic Models with Varying Load Imbalance. In CCGRID.

Project Project DOI

Thomas Kovac, Tom Haber, Frank van Reeth, Niel Hens (2019). Improving ODE Integration on Graphics Processing Units by Reducing Thread Divergence. ICCS.

Project DOI

Balazs Nemeth, Tom Haber, Jori Liesenborgs, Win Lamotte (2018). Relaxing Scalability Limits with Speculative Parallelism in Sequential Monte Carlo. In CLUSTER.

Project Project DOI

Thomas Kovac, Tom Haber, Frank van Reeth, Niel Hens (2018). Heterogeneous computing for epidemiological model fitting and simulation. BMC.

Project Project DOI

Valdemar Melicher, Tom Haber, Wim Vanroose (2017). Fast derivatives of likelihood functionals for ODE based models using adjoint-state method. CompStats.

Project DOI

Jaak Simm, Adam Arany, Pooya Zakeri, Tom Haber, Joerg Kurt Wegner, Vladimir Chupakhin, Hugo Ceulemans, Yves Moreau (2017). Macau: Scalable Bayesian factorization with high-dimensional side information using MCMC. MLSP.

DOI

Petar Marendic, Jan Lemeire, Tom Haber, Dean Vucinic, Peter Schelkens (2012). An Investigation into the Performance of Reduction Algorithms under Load Imbalance. EuroPAR.

DOI

Tom Haber, Christian Fuchs, Philippe Bekaert, Hans-Peter Seidel, Michael Goesele, Hendrik P. A. Lensch (2009). Relighting objects from image collections. CVPR.

DOI

Tom Haber, Tom Mertens, Philippe Bekaert, Frank van Reeth (2005). A computational approach to simulate light diffusion in arbitrarily shaped objects. GI.

DOI