Christian Walder

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 31

Top Topics

Personalized Ranking

Variational Bayesian

Top Venues

Publications

Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. AAAI (2024)
Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. CoRR (2024)
Yuli Liu, Christian Walder, Lexing Xie
Learning k-Determinantal Point Processes for Personalized Ranking. CoRR (2024)
Yuli Liu, Christian Walder, Lexing Xie
Learning k-Determinantal Point Processes for Personalized Ranking. ICDE (2024)
Yuli Liu, Christian Walder, Lexing Xie, Yiqun Liu
Probabilistic Attention for Sequential Recommendation. KDD (2024)
Xinlei Niu, Jing Zhang, Christian Walder, Charles Patrick Martin
SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation. ICASSP (2024)
Xinlei Niu, Jing Zhang, Christian Walder, Charles Patrick Martin
SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation. CoRR (2024)
Daniel D. Johnson, Daniel Tarlow, Christian Walder
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. CoRR (2023)
Daniel D. Johnson, Daniel Tarlow, Christian Walder
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. ICML (2023)
Qiongkai Xu, Christian Walder, Chenchen Xu
Humanly Certifying Superhuman Classifiers. ICLR (2023)
Keerth Rathakumar, David Liebowitz, Christian Walder, Kristen Moore, Salil S. Kanhere
DualVAE: Controlling Colours of Generated and Real Images. CoRR (2023)
Shidi Li, Christian Walder, Alexander Soen, Lexing Xie, Miaomiao Liu
Sampled Transformer for Point Sets. CoRR (2023)
Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming. CoRR (2023)
Shidi Li, Miaomiao Liu, Christian Walder
EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation. AAAI (2022)
Shidi Li, Christian Walder, Miaomiao Liu
SPA-VAE: Similar-Parts-Assignment for Unsupervised 3D Point Cloud Generation. CoRR (2022)
Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. CoRR (2021)
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
Learning to Continually Learn Rapidly from Few and Noisy Data. MetaDL@AAAI (2021)
Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes
Dense Uncertainty Estimation. CoRR (2021)
Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. NeurIPS (2021)
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
Plastic and Stable Gated Classifiers for Continual Learning. CVPR Workshops (2021)
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
Learning to Continually Learn Rapidly from Few and Noisy Data. CoRR (2021)
Shidi Li, Miaomiao Liu, Christian Walder
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation. CoRR (2021)
Qiongkai Xu, Christian Walder, Chenchen Xu
Humanly Certifying Superhuman Classifiers. CoRR (2021)
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
MTL2L: A Context Aware Neural Optimiser. CoRR (2020)
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. IJCNN (2020)
Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
SGD: Learning to Learn Important Weights. CVPR Workshops (2020)
Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey
SynthNet: Learning to Synthesize Music End-to-End. IJCAI (2019)
Chamin Hewa Koneputugodage, Rhys Healy, Sean Lamont, Ian Mallett, Matt Brown, Matt Walters, Ushini Attanayake, Libo Zhang, Roger T. Dean, Alexander Hunter, Charles Gretton, Christian Walder
Computer Assisted Composition in Continuous Time. CoRR (2019)
Christian Walder
Modelling Symbolic Music: Beyond the Piano Roll. ACML (2016)
Christian Walder
Symbolic Music Data Version 1.0. CoRR (2016)
Christian Walder
Modelling Symbolic Music: Beyond the Piano Roll. CoRR (2016)
Christian Walder
Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2 CoRR (2010)
Christian Walder, Ricardo Henao, Morten Mørup, Lars Kai Hansen
Semi-Supervised Kernel PCA CoRR (2010)
Christian Walder, Martin Breidt, Heinrich H. Bülthoff, Bernhard Schölkopf, Cristóbal Curio
Markerless 3D Face Tracking. DAGM-Symposium (2009)
Christian Walder, Kwang In Kim, Bernhard Schölkopf
Sparse multiscale gaussian process regression. ICML (2008)
Christian Walder, Bernhard Schölkopf
Diffeomorphic Dimensionality Reduction. NIPS (2008)
Christian Walder, Olivier Chapelle
Learning with Transformation Invariant Kernels. NIPS (2007)
Christian Walder, Bernhard Schölkopf, Olivier Chapelle
Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Comput. Graph. Forum 25 (3) (2006)
Christian Walder, Bernhard Schölkopf, Olivier Chapelle
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. NIPS (2006)
Christian Walder, Olivier Chapelle, Bernhard Schölkopf
Implicit surface modelling as an eigenvalue problem. ICML (2005)