Max Welling

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 299

Top Venues

Publications

Floor Eijkelboom, Grigory Bartosh, Christian Andersson Naesseth, Max Welling, Jan-Willem van de Meent
Variational Flow Matching for Graph Generation. CoRR (2024)
Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling
DNA: Differentially private Neural Augmentation for contact tracing. CoRR (2024)
Sindy Löwe, Francesco Locatello, Max Welling
Binding Dynamics in Rotating Features. CoRR (2024)
T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
Traveling Waves Encode The Recent Past and Enhance Sequence Learning. ICLR (2024)
Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees. AAAI (2024)
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, José Miguel Hernández-Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI. CoRR (2024)
Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Anna Vaughan, Jayesh K. Gupta, Kit Thambiratnam, Alex Archibald, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris
Aurora: A Foundation Model of the Atmosphere. CoRR (2024)
Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers. ICLR (2024)
Ilia Igashov, Hannes Stärk, Clément Vignac, Arne Schneuing, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
Equivariant 3D-conditional diffusion model for molecular linker design. Nat. Mac. Intell. 6 (4) (2024)
Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling
Protect Your Score: Contact Tracing With Differential Privacy Guarantees. CoRR (2023)
Alexandre Adam, Laurence Perreault Levasseur, Yashar Hezaveh, Max Welling
Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines. CoRR (2023)
Tim Bakker, Herke van Hoof, Max Welling
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes. ECML/PKDD (1) (2023)
Tara Akhound-Sadegh, Laurence Perreault Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
Lie Point Symmetry and Physics-Informed Networks. NeurIPS (2023)
Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling
Latent Traversals in Generative Models as Potential Flows. ICML (2023)
Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling
Rotating Features for Object Discovery. CoRR (2023)
Tara Akhound-Sadegh, Laurence Perreault Levasseur, Johannes Brandstetter, Max Welling, Siamak Ravanbakhsh
Lie Point Symmetry and Physics Informed Networks. CoRR (2023)
Yue Song, Andy Keller, Nicu Sebe, Max Welling
Flow Factorized Representation Learning. NeurIPS (2023)
Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta
Clifford Neural Layers for PDE Modeling. ICLR (2023)
David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter
Geometric Clifford Algebra Networks. CoRR (2023)
T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling
Traveling Waves Encode the Recent Past and Enhance Sequence Learning. CoRR (2023)
Hanchen Wang, Tianfan Fu, Yuanqi Du, Wenhao Gao, Kexin Huang, Ziming Liu, Payal Chandak, Shengchao Liu, Peter Van Katwyk, Andreea Deac, Anima Anandkumar, Karianne Bergen, Carla P. Gomes, Shirley Ho, Pushmeet Kohli, Joan Lasenby, Jure Leskovec, Tie-Yan Liu, Arjun Manrai, Debora S. Marks, Bharath Ramsundar, Le Song, Jimeng Sun, Jian Tang, Petar Velickovic, Max Welling, Linfeng Zhang, Connor W. Coley, Yoshua Bengio, Marinka Zitnik
Scientific discovery in the age of artificial intelligence. Nat. 620 (7972) (2023)
Kirill Neklyudov, Jannes Nys, Luca Thiede, Juan Carrasquilla, Qiang Liu, Max Welling, Alireza Makhzani
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation. CoRR (2023)
Winfried van den Dool, Tijmen Blankevoort, Max Welling, Yuki M. Asano
Efficient Neural PDE-Solvers using Quantization Aware Training. ICCV (Workshops) (2023)
David Ruhe, Jayesh K. Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter
Geometric Clifford Algebra Networks. ICML (2023)
Micah Goldblum, Anima Anandkumar, Richard G. Baraniuk, Tom Goldstein, Kyunghyun Cho, Zachary C. Lipton, Melanie Mitchell, Preetum Nakkiran, Max Welling, Andrew Gordon Wilson
Perspectives on the State and Future of Deep Learning - 2023. CoRR (2023)
Winfried van den Dool, Tijmen Blankevoort, Max Welling, Yuki M. Asano
Efficient Neural PDE-Solvers using Quantization Aware Training. CoRR (2023)
Tim Bakker, Herke van Hoof, Max Welling
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes. CoRR (2023)
Yue Song, Andy Keller, Nicu Sebe, Max Welling
Latent Traversals in Generative Models as Potential Flows. CoRR (2023)
Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling
Flow Factorized Representation Learning. CoRR (2023)
Lars Holdijk, Yuanqi Du, Ferry Hooft, Priyank Jaini, Bernd Ensing, Max Welling
Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths. NeurIPS (2023)
Rob Romijnders, Yuki M. Asano, Christos Louizos, Max Welling
No time to waste: practical statistical contact tracing with few low-bit messages. AISTATS (2023)
Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling
Rotating Features for Object Discovery. NeurIPS (2023)
Evgenii Egorov, Roberto Bondesan, Max Welling
The END: An Equivariant Neural Decoder for Quantum Error Correction. CoRR (2023)
T. Anderson Keller, Max Welling
Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks. ICML (2023)
Luisa H. B. Liboni, Roberto C. Budzinski, Alexandra N. Busch, Sindy Löwe, Thomas A. Keller, Max Welling, Lyle E. Muller
Image segmentation with traveling waves in an exactly solvable recurrent neural network. CoRR (2023)
Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers. CoRR (2023)
Kirill Neklyudov, Jannes Nys, Luca Thiede, Juan Carrasquilla, Qiang Liu, Max Welling, Alireza Makhzani
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation. NeurIPS (2023)
Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik J. Bekkers, Max Welling
Geometric and Physical Quantities improve E(3) Equivariant Message Passing. ICLR (2022)
Shreya Kadambi, Arash Behboodi, Joseph B. Soriaga, Max Welling, Roohollah Amiri, Srinivas Yerramalli, Taesang Yoo
Neural RF SLAM for unsupervised positioning and mapping with channel state information. CoRR (2022)
Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling
Multi-Agent MDP Homomorphic Networks. ICLR (2022)
Anna Kuzina, Max Welling, Jakub M. Tomczak
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC. NeurIPS (2022)
Sindy Löwe, David Madras, Richard Z. Shilling, Max Welling
Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data. CLeaR (2022)
Arne Schneuing, Yuanqi Du, Charles Harris, Arian R. Jamasb, Ilia Igashov, Weitao Du, Tom L. Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael M. Bronstein, Bruno E. Correia
Structure-based Drug Design with Equivariant Diffusion Models. CoRR (2022)
Lars Holdijk, Yuanqi Du, Ferry Hooft, Priyank Jaini, Bernd Ensing, Max Welling
Path Integral Stochastic Optimal Control for Sampling Transition Paths. CoRR (2022)
Kirill Neklyudov, Max Welling
Orbital MCMC. AISTATS (2022)
Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling
Equivariant Diffusion for Molecule Generation in 3D. CoRR (2022)
Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh K. Gupta
Clifford Neural Layers for PDE Modeling. CoRR (2022)
Johannes Brandstetter, Max Welling, Daniel E. Worrall
Lie Point Symmetry Data Augmentation for Neural PDE Solvers. ICML (2022)
ChangYong Oh, Roberto Bondesan, Dana Kianfar, Rehan Ahmed, Rishubh Khurana, Payal Agarwal, Romain Lepert, Mysore Sriram, Max Welling
Bayesian Optimization for Macro Placement. CoRR (2022)
Anna Kuzina, Max Welling, Jakub M. Tomczak
Defending Variational Autoencoders from Adversarial Attacks with MCMC. CoRR (2022)
Zhuo Su, Max Welling, Matti Pietikäinen, Li Liu
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation. CoRR (2022)
ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel. NeurIPS (2022)
Shreya Kadambi, Arash Behboodi, Joseph B. Soriaga, Max Welling, Roohollah Amiri, Srinivas Yerramalli, Taesang Yoo
Neural RF SLAM for unsupervised positioning and mapping with channel state information. ICC (2022)
Gabriele Cesa, Arash Behboodi, Taco S. Cohen, Max Welling
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane. NeurIPS (2022)
Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling
Equivariant Diffusion for Molecule Generation in 3D. ICML (2022)
David Duvenaud, Markus Heinonen, Michael Tiemann, Max Welling
Differential Equations and Continuous-Time Deep Learning (Dagstuhl Seminar 22332). Dagstuhl Reports 12 (8) (2022)
Zhuo Su, Max Welling, Matti Pietikäinen, Li Liu
SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation. 3DV (2022)
Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling
Complex-Valued Autoencoders for Object Discovery. CoRR (2022)
Wouter Kool, Herke van Hoof, Joaquim A. S. Gromicho, Max Welling
Deep Policy Dynamic Programming for Vehicle Routing Problems. CPAIOR (2022)
Johannes Brandstetter, Daniel E. Worrall, Max Welling
Message Passing Neural PDE Solvers. CoRR (2022)
Johannes Brandstetter, Max Welling, Daniel E. Worrall
Lie Point Symmetry Data Augmentation for Neural PDE Solvers. CoRR (2022)
Shi Hu, Eric T. Nalisnick, Max Welling
Adversarial Defense via Image Denoising with Chaotic Encryption. CoRR (2022)
Johannes Brandstetter, Daniel E. Worrall, Max Welling
Message Passing Neural PDE Solvers. ICLR (2022)
Sindy Löwe, Phillip Lippe, Maja Rudolph, Max Welling
Complex-Valued Autoencoders for Object Discovery. Trans. Mach. Learn. Res. 2022 (2022)
Priyank Jaini, Kristian Kersting, Antonio Vergari, Max Welling
Recent Advancements in Tractable Probabilistic Inference (Dagstuhl Seminar 22161). Dagstuhl Reports 12 (4) (2022)
Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design. CoRR (2022)
T. Anderson Keller, Qinghe Gao, Max Welling
Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders. CoRR (2021)
Roberto Bondesan, Max Welling
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning. ICML (2021)
Anna Kuzina, Max Welling, Jakub M. Tomczak
Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks. CoRR (2021)
Victor Garcia Satorras, Emiel Hoogeboom, Max Welling
E(n) Equivariant Graph Neural Networks. ICML (2021)
ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling
Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. CoRR (2021)
Priyank Jaini, Didrik Nielsen, Max Welling
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC. CoRR (2021)
Roberto Bondesan, Max Welling
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning. CoRR (2021)
Shi Hu, Egill A. Fridgeirsson, Guido van Wingen, Max Welling
Transformer-Based Deep Survival Analysis. SPACA (2021)
T. Anderson Keller, Max Welling
Predictive Coding with Topographic Variational Autoencoders. ICCVW (2021)
Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling
Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking. GLOBECOM (2021)
Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling
Federated Learning of User Verification Models Without Sharing Embeddings. ICML (2021)
Wouter Kool, Herke van Hoof, Joaquim A. S. Gromicho, Max Welling
Deep Policy Dynamic Programming for Vehicle Routing Problems. CoRR (2021)
Elise van der Pol, Herke van Hoof, Frans A. Oliehoek, Max Welling
Multi-Agent MDP Homomorphic Networks. CoRR (2021)
Farhad Ghazvinian Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Max Welling, Fatih Porikli
Modality-Agnostic Topology Aware Localization. NeurIPS (2021)
Marc Finzi, Max Welling, Andrew Gordon Wilson
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups. CoRR (2021)
Johannes Brandstetter, Rob Hesselink, Elise van der Pol, Erik Bekkers, Max Welling
Geometric and Physical Quantities improve E(3) Equivariant Message Passing. CoRR (2021)
ChangYong Oh, Efstratios Gavves, Max Welling
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels. CoRR (2021)
Hossein Hosseini, Hyunsin Park, Sungrack Yun, Christos Louizos, Joseph Soriaga, Max Welling
Federated Learning of User Verification Models Without Sharing Embeddings. CoRR (2021)
Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. MLMIR@MICCAI (2021)
T. Anderson Keller, Max Welling
Topographic VAEs learn Equivariant Capsules. NeurIPS (2021)
Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling
E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. CoRR (2021)
Marc Anton Finzi, Roberto Bondesan, Max Welling
Probabilistic Numeric Convolutional Neural Networks. ICLR (2021)
Victor Garcia Satorras, Max Welling
Neural Enhanced Belief Propagation on Factor Graphs. AISTATS (2021)
T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini, Emiel Hoogeboom, Patrick Forré, Max Welling
Self Normalizing Flows. ICML (2021)
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
Argmax Flows and Multinomial Diffusion: Towards Non-Autoregressive Language Models. CoRR (2021)
Kumar Pratik, Rana Ali Amjad, Arash Behboodi, Joseph B. Soriaga, Max Welling
Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking. CoRR (2021)
Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions. NeurIPS (2021)
Shi Hu, Nicola Pezzotti, Max Welling
Learning to Predict Error for MRI Reconstruction. MICCAI (3) (2021)
Victor Garcia Satorras, Emiel Hoogeboom, Max Welling
E(n) Equivariant Graph Neural Networks. CoRR (2021)
Priyank Jaini, Lars Holdijk, Max Welling
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent. NeurIPS (2021)
Priyank Jaini, Didrik Nielsen, Max Welling
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC. AISTATS (2021)
Maurice Weiler, Patrick Forré, Erik Verlinde, Max Welling
Coordinate Independent Convolutional Networks - Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds. CoRR (2021)
T. Anderson Keller, Max Welling
Topographic VAEs learn Equivariant Capsules. CoRR (2021)
Kirill Neklyudov, Roberto Bondesan, Max Welling
Deterministic Gibbs Sampling via Ordinary Differential Equations. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Max Welling