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Christian Walder
Christian Walder
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Title
Cited by
Cited by
Year
Implicit surface modelling with a globally regularised basis of compact support
C Walder, B Schölkopf, O Chapelle
Computer Graphics Forum 25 (3), 635-644, 2006
85*2006
Sparse multiscale Gaussian process regression
C Walder, KI Kim, B Schölkopf
Proceedings of the 25th international conference on Machine learning, 1112-1119, 2008
782008
Chord2vec: Learning musical chord embeddings
S Madjiheurem, L Qu, C Walder
Proceedings of the constructive machine learning workshop at 30th conference …, 2016
542016
Support vector machines for business applications
BC Lovell, CJ Walder
Business Applications and Computational Intelligence, 267, 2006
432006
Diffeomorphic dimensionality reduction
C Walder, B Schölkopf
Advances in Neural Information Processing Systems 21, 2008
382008
Variational inference for sparse Gaussian process modulated Hawkes process
R Zhang, C Walder, MA Rizoiu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6803-6810, 2020
362020
Efficient non-parametric Bayesian Hawkes processes
R Zhang, C Walder, MA Rizoiu, L Xie
arXiv preprint arXiv:1810.03730, 2018
362018
Modelling symbolic music: Beyond the piano roll
C Walder
Asian conference on machine learning, 174-189, 2016
362016
Tacticzero: Learning to prove theorems from scratch with deep reinforcement learning
M Wu, M Norrish, C Walder, A Dezfouli
Advances in Neural Information Processing Systems 34, 9330-9342, 2021
302021
Implicit surface modelling as an eigenvalue problem
C Walder, O Chapelle, B Schölkopf
Proceedings of the 22nd international conference on Machine learning, 936-939, 2005
282005
Fast Bayesian intensity estimation for the permanental process
CJ Walder, AN Bishop
International Conference on Machine Learning, 3579-3588, 2017
252017
Learning with transformation invariant kernels
C Walder, O Chapelle
Advances in Neural Information Processing Systems 20, 2007
242007
Monge blunts Bayes: Hardness results for adversarial training
Z Cranko, A Menon, R Nock, CS Ong, Z Shi, C Walder
International Conference on Machine Learning, 1406-1415, 2019
202019
EditVAE: Unsupervised parts-aware controllable 3D point cloud shape generation
S Li, M Liu, C Walder
Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 1386-1394, 2022
192022
Markerless 3d face tracking
C Walder, M Breidt, H Bülthoff, B Schölkopf, C Curio
Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11 …, 2009
182009
Neural dynamic programming for musical self similarity
C Walder, D Kim
International Conference on Machine Learning, 5105-5113, 2018
122018
Dense uncertainty estimation
J Zhang, Y Dai, M Xiang, DP Fan, P Moghadam, M He, C Walder, ...
arXiv preprint arXiv:2110.06427, 2021
112021
Learning to continually learn rapidly from few and noisy data
I Nicholas, H Kuo, M Harandi, N Fourrier, C Walder, G Ferraro, ...
AAAI Workshop on Meta-Learning and MetaDL Challenge, 65-76, 2021
92021
Improved classification using hidden Markov averaging from multiple observation sequences
RIA Davis, CJ Walder, BC Lovell
Queensland University of Technology 4, 89-92, 2002
92002
Semi-supervised kernel pca
C Walder, R Henao, M Mørup, LK Hansen
arXiv preprint arXiv:1008.1398, 2010
82010
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