Search Results - "Welling, Max"

Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems Using Recurrent Inference Machines by Adam, Alexandre, Perreault-Levasseur, Laurence, Hezaveh, Yashar, Welling, Max

“…Abstract Modeling strong gravitational lenses in order to quantify distortions in the images of background sources and to reconstruct the mass density in…”
Get full text

Guided Variational Autoencoder for Disentanglement Learning by Ding, Zheng, Xu, Yifan, Xu, Weijian, Parmar, Gaurav, Yang, Yang, Welling, Max, Tu, Zhuowen

“…We propose an algorithm, guided variational autoencoder (Guided-VAE), that is able to learn a controllable generative model by performing latent representation…”
Get full text

3D scattering transforms for disease classification in neuroimaging by Adel, Tameem, Cohen, Taco, Caan, Matthan, Welling, Max

“…Classifying neurodegenerative brain diseases in MRI aims at correctly assigning discrete labels to MRI scans. Such labels usually refer to a diagnostic…”
Get full text

Topographic product models applied to natural scene statistics by Osindero, Simon, Welling, Max, Hinton, Geoffrey E

“…We present an energy-based model that uses a product of generalized Student-t distributions to capture the statistical structure in data sets. This model is…”
Get more information

MLitB: machine learning in the browser by Meeds, Edward, Hendriks, Remco, Al Faraby, Said, Bruntink, Magiel, Welling, Max

“…With few exceptions, the field of Machine Learning (ML) research has largely ignored the browser as a computational engine. Beyond an educational resource for…”
Get full text

Linear response algorithms for approximate inference in graphical models by Welling, Max, Teh, Yee Whye

“…Belief propagation (BP) on cyclic graphs is an efficient algorithm for computing approximate marginal probability distributions over single nodes and…”
Get more information

Approximate inference in Boltzmann machines by Welling, Max, Teh, Yee Whye

“…Inference in Boltzmann machines is NP-hard in general. As a result approximations are often necessary. We discuss first order mean field and second order…”
Get full text

Data-Free Quantization Through Weight Equalization and Bias Correction by Nagel, Markus, Baalen, Mart Van, Blankevoort, Tijmen, Welling, Max

“…We introduce a data-free quantization method for deep neural networks that does not require fine-tuning or hyperparameter selection. It achieves near-original…”
Get full text

RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection by Pratik, Kumar, Rao, Bhaskar D., Welling, Max

“…In this paper, we present a novel neural network architecture for MIMO symbol detection, the Recurrent Equivariant MIMO detector (RE-MIMO). It incorporates…”
Get full text

Scientific discovery in the age of artificial intelligence by Wang, Hanchen, Fu, Tianfan, Du, Yuanqi, Gao, Wenhao, Huang, Kexin, Liu, Ziming, Chandak, Payal, Liu, Shengchao, Van Katwyk, Peter, Deac, Andreea, Anandkumar, Anima, Bergen, Karianne, Gomes, Carla P., Ho, Shirley, Kohli, Pushmeet, Lasenby, Joan, Leskovec, Jure, Liu, Tie-Yan, Manrai, Arjun, Marks, Debora, Ramsundar, Bharath, Song, Le, Sun, Jimeng, Tang, Jian, Veličković, Petar, Welling, Max, Zhang, Linfeng, Coley, Connor W., Bengio, Yoshua, Zitnik, Marinka

“…Artificial intelligence (AI) is being increasingly integrated into scientific discovery to augment and accelerate research, helping scientists to generate…”
Get full text

Variational Bayes In Private Settings (VIPS) by Park, Mijung, Foulds, James, Chaudhuri, Kamalika, Welling, Max

“…Many applications of Bayesian data analysis involve sensitive information such as personal documents or medical records, motivating methods which ensure that…”
Get full text

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence by Akata, Zeynep, Balliet, Dan, de Rijke, Maarten, Dignum, Frank, Dignum, Virginia, Eiben, Guszti, Fokkens, Antske, Grossi, Davide, Hindriks, Koen, Hoos, Holger, Hung, Hayley, Jonker, Catholijn, Monz, Christof, Neerincx, Mark, Oliehoek, Frans, Prakken, Henry, Schlobach, Stefan, van der Gaag, Linda, van Harmelen, Frank, van Hoof, Herke, van Riemsdijk, Birna, van Wynsberghe, Aimee, Verbrugge, Rineke, Verheij, Bart, Vossen, Piek, Welling, Max

“…We define hybrid intelligence (HI) as the combination of human and machine intelligence, augmenting human intellect and capabilities instead of replacing them…”
Get full text

Predictive Coding with Topographic Variational Autoencoders by Keller, T. Anderson, Welling, Max

“…Predictive coding is a model of visual processing which suggests that the brain is a generative model of input, with prediction error serving as a signal for…”
Get full text

Recurrent inference machines for reconstructing heterogeneous MRI data by Lønning, Kai, Putzky, Patrick, Sonke, Jan-Jakob, Reneman, Liesbeth, Caan, Matthan W.A., Welling, Max

“…•Recurrent Inference Machines iteratively reconstruct heterogeneous raw MRI data.•Generalizes across scanners, contrasts, resolutions, organs and acceleration…”
Get full text

Generalized darting Monte Carlo by Sminchisescu, Cristian, Welling, Max

“…One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show…”
Get full text

Data-driven Reconstruction of Gravitationally Lensed Galaxies Using Recurrent Inference Machines by Morningstar, Warren R., Levasseur, Laurence Perreault, Hezaveh, Yashar D., Blandford, Roger, Marshall, Phil, Putzky, Patrick, Rueter, Thomas D., Wechsler, Risa, Welling, Max

“…We present a machine-learning method for the reconstruction of the undistorted images of background sources in strongly lensed systems. This method treats the…”
Get full text

Editor’s Note: Special Issue on Novel Representations and Learning Methods in Computer Vision

Get full text

Graph refinement based airway extraction using mean-field networks and graph neural networks by Selvan, Raghavendra, Kipf, Thomas, Welling, Max, Juarez, Antonio Garcia-Uceda, Pedersen, Jesper H, Petersen, Jens, Bruijne, Marleen de

“…•Extraction of tree-like structures formulated as a graph refinement task.•Propose two graph refinement strategies to extract airways from 3D data.•Demonstrate…”
Get full text

Maximum Likelihood Estimation for the Offset-Normal Shape Distributions Using EM by Kume, Alfred, Welling, Max

“…The offset-normal shape distribution is defined as the induced shape distribution of a Gaussian distributed random configuration in the plane. Such…”
Get full text

Equivariant 3D-conditional diffusion model for molecular linker design by Igashov, Ilia, Stärk, Hannes, Vignac, Clément, Schneuing, Arne, Satorras, Victor Garcia, Frossard, Pascal, Welling, Max, Bronstein, Michael, Correia, Bruno

“…Fragment-based drug discovery has been an effective paradigm in early-stage drug development. An open challenge in this area is designing linkers between…”
Get full text