Manfred Opper

Technische Universität Berlin — Germany

Computer Science · Physical Sciences

41h-index9.1kcitations260works1.92yr avg
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Research Topics

Gaussian Processes and Bayesian Inference(84), Neural Networks and Applications(77), Machine Learning and Algorithms(29), Neural dynamics and brain function(27), Control Systems and Identification(27)

Publications260 total

Digital Twins: McKean-Pontryagin Control for Partially Observed Physical Twins
arXiv (Cornell University)·2025Open Access
Multimodal Generative Flows for LHC Jets
arXiv (Cornell University)·2025Open Access
Likelihood-Based Heterogeneity Inference Reveals Non-Stationary Effects in Biohybrid Cell-Cargo Transport
arXiv (Cornell University)·2025Open Access
On a mean-field Pontryagin minimum principle for stochastic optimal control
arXiv (Cornell University)·2025Open Access
Hierarchical Bayesian estimation for continual learning during model-informed precision dosing
arXiv (Cornell University)·2025Open Access
Joint Message Detection and Channel Estimation for Unsourced Random Access in Cell-Free User-Centric Wireless Networks
IEEE Transactions on Information Theory·2025· 12 cited
Efficient Training of Neural SDEs Using Stochastic Optimal Control
2025Open Access
Inferring Parameter Distributions in Heterogeneous Motile Particle Ensembles: A Likelihood Approach for Second Order Langevin Models
arXiv (Cornell University)·2024Open Access
Joint Message Detection, Channel, and User Position Estimation for Unsourced Random Access in Cell-Free Networks
2024· 10 cited
Joint Message Detection, Channel, and User Position Estimation for Unsourced Random Access in Cell-Free Networks
arXiv (Cornell University)·2024Open Access
A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification
2024· 3 cited
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
arXiv (Cornell University)·2024Open Access
A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification
arXiv (Cornell University)·2024· 1 citedOpen Access
Generative Fractional Diffusion Models
2024
Variational Inference for SDEs Driven by Fractional Noise
arXiv (Cornell University)·2023· 2 citedOpen Access
Message Passing and Its Applications
WORLD SCIENTIFIC eBooks·2023· 1 cited
Joint Message Detection and Channel Estimation for Unsourced Random Access in Cell-Free User-Centric Wireless Networks
arXiv (Cornell University)·2023· 1 citedOpen Access
A Score-Based Approach for Training Schrödinger Bridges for Data Modelling
Entropy·2023· 1 citedOpen Access
Deterministic particle flows for constraining stochastic nonlinear systems
Physical Review Research·2022Open Access
Stochastic Control for Bayesian Neural Network Training
Entropy·2022· 2 citedOpen Access
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Frequent Co-authors

Ole Winther(10), Lehel Csató(5), David Haussler(5), David Saad(3), Cédric Archambeau(3), S. Diederich(3), Haim Sompolinsky(2), Guido Sanguinetti(2), Giancarlo Ferrari‐Trecate(2), Christopher K. I. Williams(2), Tom Heskes(2), Wolfgang Kinzel(2), John Shawe‐Taylor(2), Dan Cornford(2), H. Sebastian Seung(1), Botond Cseke(1), Hilbert J. Kappen(1), Vicenç Gómez(1), Chris Bishop(1), Léon Bottou(1)