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Christian Walder
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2020 – today
- 2024
- [c22]Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague:
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. AAAI 2024: 10607-10615 - [c21]Yuli Liu, Min Liu, Christian Walder, Lexing Xie:
A Universal Sets-level Optimization Framework for Next Set Recommendation. CIKM 2024: 1544-1554 - [c20]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: 261-265 - [c19]Yuli Liu, Christian Walder, Lexing Xie:
Learning k-Determinantal Point Processes for Personalized Ranking. ICDE 2024: 1036-1049 - [c18]Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin:
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming. ICML 2024 - [c17]Yuli Liu
, Christian Walder
Probabilistic Attention for Sequential Recommendation. KDD 2024: 1956-1967 - [i19]Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague:
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. CoRR abs/2403.03401 (2024) - [i18]Xinlei Niu, Jing Zhang, Christian Walder, Charles Patrick Martin:
SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation. CoRR abs/2405.15338 (2024) - [i17]Yuli Liu, Christian Walder, Lexing Xie:
Learning k-Determinantal Point Processes for Personalized Ranking. CoRR abs/2406.15983 (2024) - 2023
- [c16]Qiongkai Xu, Christian Walder, Chenchen Xu:
Humanly Certifying Superhuman Classifiers. ICLR 2023 - [c15]Daniel D. Johnson, Daniel Tarlow, Christian Walder:
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. ICML 2023: 15262-15306 - [i16]Shidi Li, Christian Walder, Alexander Soen, Lexing Xie, Miaomiao Liu:
Sampled Transformer for Point Sets. CoRR abs/2302.14346 (2023) - [i15]Daniel D. Johnson, Daniel Tarlow, Christian Walder:
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. CoRR abs/2303.00732 (2023) - [i14]Keerth Rathakumar, David Liebowitz, Christian Walder, Kristen Moore, Salil S. Kanhere:
DualVAE: Controlling Colours of Generated and Real Images. CoRR abs/2305.18769 (2023) - [i13]Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin:
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming. CoRR abs/2306.02568 (2023) - 2022
- [c14]Shidi Li, Miaomiao Liu, Christian Walder:
EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation. AAAI 2022: 1386-1394 - [i12]Shidi Li, Christian Walder, Miaomiao Liu:
SPA-VAE: Similar-Parts-Assignment for Unsupervised 3D Point Cloud Generation. CoRR abs/2203.07825 (2022) - 2021
- [c13]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: 65-76 - [c12]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro
Plastic and Stable Gated Classifiers for Continual Learning. CVPR Workshops 2021: 3553-3558 - [c11]Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli:
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. NeurIPS 2021: 9330-9342 - [i11]Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli:
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. CoRR abs/2102.09756 (2021) - [i10]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 abs/2103.04066 (2021) - [i9]Qiongkai Xu, Christian Walder, Chenchen Xu:
Humanly Certifying Superhuman Classifiers. CoRR abs/2109.07867 (2021) - [i8]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 abs/2110.06427 (2021) - [i7]Shidi Li, Miaomiao Liu, Christian Walder:
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation. CoRR abs/2110.06679 (2021) - 2020
- [c10]Nicholas I-Hsien Kuo, Mehrtash Harandi
M2SGD: Learning to Learn Important Weights. CVPR Workshops 2020: 957-964 - [c9]Nicholas I-Hsien Kuo, Mehrtash Harandi
An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. IJCNN 2020: 1-8 - [i6]Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder
MTL2L: A Context Aware Neural Optimiser. CoRR abs/2007.09343 (2020)
2010 – 2019
- 2019
- [c8]Florin Schimbinschi, Christian Walder
SynthNet: Learning to Synthesize Music End-to-End. IJCAI 2019: 3367-3374 - [i5]Chamin Hewa Koneputugodage, Rhys Healy, Sean Lamont, Ian Mallett, Matt Brown, Matt Walters, Ushini Attanayake, Libo Zhang, Roger T. Dean, Alexander Hunter
Computer Assisted Composition in Continuous Time. CoRR abs/1909.05030 (2019) - 2016
- [c7]Christian Walder:
Modelling Symbolic Music: Beyond the Piano Roll. ACML 2016: 174-189 - [i4]Christian Walder:
Modelling Symbolic Music: Beyond the Piano Roll. CoRR abs/1606.01368 (2016) - [i3]Christian Walder:
Symbolic Music Data Version 1.0. CoRR abs/1606.02542 (2016) - 2010
- [i2]Christian Walder, Ricardo Henao, Morten Mørup, Lars Kai Hansen:
Semi-Supervised Kernel PCA. CoRR abs/1008.1398 (2010) - [i1]Christian Walder:
Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2. CoRR abs/1011.1173 (2010)
2000 – 2009
- 2009
- [c6]Christian Walder, Martin Breidt, Heinrich H. Bülthoff
Markerless 3D Face Tracking. DAGM-Symposium 2009: 41-50 - 2008
- [c5]Christian Walder
Sparse multiscale gaussian process regression. ICML 2008: 1112-1119 - [c4]Christian Walder, Bernhard Schölkopf:
Diffeomorphic Dimensionality Reduction. NIPS 2008: 1713-1720 - 2007
- [c3]Christian Walder, Olivier Chapelle:
Learning with Transformation Invariant Kernels. NIPS 2007: 1561-1568 - 2006
- [j1]Christian Walder, Bernhard Schölkopf, Olivier Chapelle:
Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Comput. Graph. Forum 25(3): 635-644 (2006) - [c2]Christian Walder, Bernhard Schölkopf, Olivier Chapelle:
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. NIPS 2006: 273-280 - 2005
- [c1]Christian Walder, Olivier Chapelle, Bernhard Schölkopf:
Implicit surface modelling as an eigenvalue problem. ICML 2005: 936-939
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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