| 2025 | ESANN | Efficient Training of Neural SDEs Using Stochastic Optimal Control. | Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal |
| 2024 | ICLR | Variational Inference for SDEs Driven by Fractional Noise. | Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal |
| 2024 | ICML | Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models. | Ludwig Winkler, Lorenz Richter, Manfred Opper |
| 2024 | ISIT | A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification. | Burak akmak, Yue M. Lu, Manfred Opper |
| 2020 | AISTATS | Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models. | Tho Galy-Fajou, Florian Wenzel, Manfred Opper |
| 2019 | AAAI | Efficient Gaussian Process Classification Using Plya-Gamma Data Augmentation. | Florian Wenzel, Tho Galy-Fajou, Christian Donner, Marius Kloft, Manfred Opper |
| 2019 | ESANN | Statistical physics of learning and inference. | Michael Biehl, Nestor Caticha, Manfred Opper, Thomas Villmann |
| 2019 | ISIT | Convergent Dynamics for Solving the TAP Equations of Ising Models with Arbitrary Rotation Invariant Coupling Matrices. | Burak akmak, Manfred Opper |
| 2019 | UAI | Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation. | Tho Galy-Fajou, Florian Wenzel, Christian Donner, Manfred Opper |
| 2018 | ISIT | Expectation Propagation for Approximate Inference: Free Probability Framework. | Burak akmak, Manfred Opper |
| 2018 | UAI | Efficient Bayesian Inference for a Gaussian Process Density Model. | Christian Donner, Manfred Opper |
| 2017 | ISIT | Dynamical functional theory for compressed sensing. | Burak akmak, Manfred Opper, Ole Winther, Bernard H. Fleury |
| 2013 | INFOCOM | DARA: Estimating the behavior of data rate adaptation algorithms in WLAN hotspots. | Sven Wiethlter, Andreas Ruttor, Uwe Bergemann, Manfred Opper, Adam Wolisz |
| 2004 | ALT | Approximate Inference in Probabilistic Models. | Manfred Opper, Ole Winther |
| 2001 | ICANN | Online Approximations for Wind-Field Models. | Lehel Csat, Dan Cornford, Manfred Opper |
| 2001 | ICANN | Learning Curves for Gaussian Processes Models: Fluctuations and Universality. | Drthe Malzahn, Manfred Opper |
| 2000 | COLT | Continuous Drifting Games. | Yoav Freund, Manfred Opper |
| 1995 | COLT | General Bounds on the Mutual Information Between a Parameter and | David Haussler, Manfred Opper |
| 1992 | COLT | Query by Committee. | H. Sebastian Seung, Manfred Opper, Haim Sompolinsky |
| 1991 | COLT | Calculation of the Learning Curve of Bayes Optimal Classification Algorithm for Learning a Perceptron With Noise. | Manfred Opper, David Haussler |