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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
83*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
452016
Support vector machines for business applications
BC Lovell, CJ Walder
Business Applications and Computational Intelligence, 267, 2006
372006
Diffeomorphic dimensionality reduction
C Walder, B Schölkopf
Advances in Neural Information Processing Systems 21, 2008
352008
Efficient non-parametric Bayesian Hawkes processes
R Zhang, C Walder, MA Rizoiu, L Xie
arXiv preprint arXiv:1810.03730, 2018
302018
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
29*2020
Modelling symbolic music: Beyond the piano roll
C Walder
Asian Conference on Machine Learning, 174-189, 2016
282016
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
252005
Learning with transformation invariant kernels
C Walder, O Chapelle
Advances in Neural Information Processing Systems 20, 2007
222007
Fast Bayesian intensity estimation for the permanental process
CJ Walder, AN Bishop
International Conference on Machine Learning, 3579-3588, 2017
192017
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
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
162019
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
112021
Neural dynamic programming for musical self similarity
C Walder, D Kim
International Conference on Machine Learning, 5105-5113, 2018
112018
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
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
72022
Kernel based algebraic curve fitting
CJ Walder, BC Lovell
ICAPR’2003 Proceedings, 387-390, 2003
72003
Towards a maximum entropy method for estimating HMM parameters
CJ Walder, PJ Kootsookos, BC Lovell
Australian Pattern Recognition Society 1 (1), 45-49, 2003
72003
Dense uncertainty estimation
J Zhang, Y Dai, M Xiang, DP Fan, P Moghadam, M He, C Walder, ...
arXiv preprint arXiv:2110.06427, 2021
62021
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