Christian Walder

Orcid: 0000-0002-2411-3523

According to our database1, Christian Walder authored at least 29 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming.
CoRR, 2023

DualVAE: Controlling Colours of Generated and Real Images.
CoRR, 2023

Sampled Transformer for Point Sets.
CoRR, 2023

R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents.
Proceedings of the International Conference on Machine Learning, 2023

Humanly Certifying Superhuman Classifiers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
SPA-VAE: Similar-Parts-Assignment for Unsupervised 3D Point Cloud Generation.
CoRR, 2022

EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation.
CoRR, 2021

Dense Uncertainty Estimation.
CoRR, 2021

TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Plastic and Stable Gated Classifiers for Continual Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Learning to Continually Learn Rapidly from Few and Noisy Data.
Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2020
MTL2L: A Context Aware Neural Optimiser.
CoRR, 2020

An Input Residual Connection for Simplifying Gated Recurrent Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

M<sup>2</sup>SGD: Learning to Learn Important Weights.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Computer Assisted Composition in Continuous Time.
CoRR, 2019

SynthNet: Learning to Synthesize Music End-to-End.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2016
Symbolic Music Data Version 1.0.
CoRR, 2016

Modelling Symbolic Music: Beyond the Piano Roll.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2010
Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2
CoRR, 2010

Semi-Supervised Kernel PCA
CoRR, 2010

2009
Markerless 3D Face Tracking.
Proceedings of the Pattern Recognition, 2009

2008
Diffeomorphic Dimensionality Reduction.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Sparse multiscale gaussian process regression.
Proceedings of the Machine Learning, 2008

2007
Learning with Transformation Invariant Kernels.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006
Implicit Surface Modelling with a Globally Regularised Basis of Compact Support.
Comput. Graph. Forum, 2006

Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Implicit surface modelling as an eigenvalue problem.
Proceedings of the Machine Learning, 2005


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