Christian Walder

46 papers A* 11A 1B 1C 1Misc 1Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Free Lunch for Pass@k? Low Cost Diverse Sampling for Diffusion Language Models. CoRR Sean Lamont, Christian Walder, Paul Montague, Amir Dezfouli, Michael Norrish
2025	J	`jnl`	Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems. CoRR Christian Walder, Deep Karkhanis
2024	J	`jnl`	3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes. CoRR Sean Lamont, Christian Walder, Amir Dezfouli, Paul Montague, Michael Norrish
2024	A	`conf`	A Universal Sets-level Optimization Framework for Next Set Recommendation. CIKM Yuli Liu, Min Liu, Christian Walder, Lexing Xie
2024	J	`jnl`	A Universal Sets-level Optimization Framework for Next Set Recommendation. CoRR Yuli Liu, Min Liu, Christian Walder, Lexing Xie
2024	A*	`conf`	BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. AAAI Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
2024	J	`jnl`	BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving. CoRR Sean Lamont, Michael Norrish, Amir Dezfouli, Christian Walder, Paul Montague
2024	A*	`conf`	Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming. ICML Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin
2024	A*	`conf`	Learning k-Determinantal Point Processes for Personalized Ranking. ICDE Yuli Liu, Christian Walder, Lexing Xie
2024	J	`jnl`	Learning k-Determinantal Point Processes for Personalized Ranking. CoRR Yuli Liu, Christian Walder, Lexing Xie
2024	A*	`conf`	Probabilistic Attention for Sequential Recommendation. KDD Yuli Liu, Christian Walder, Lexing Xie, Yiqun Liu
2024	Misc	`conf`	SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation. ICASSP Xinlei Niu, Jing Zhang, Christian Walder, Charles Patrick Martin
2024	J	`jnl`	SoundLoCD: An Efficient Conditional Discrete Contrastive Latent Diffusion Model for Text-to-Sound Generation. CoRR Xinlei Niu, Jing Zhang, Christian Walder, Charles Patrick Martin
2023	J	`jnl`	DualVAE: Controlling Colours of Generated and Real Images. CoRR Keerth Rathakumar, David Liebowitz, Christian Walder, Kristen Moore, Salil S. Kanhere
2023	A*	`conf`	Humanly Certifying Superhuman Classifiers. ICLR Qiongkai Xu, Christian Walder, Chenchen Xu
2023	J	`jnl`	Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming. CoRR Xinlei Niu, Christian Walder, Jing Zhang, Charles Patrick Martin
2023	A*	`conf`	R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. ICML Daniel D. Johnson, Daniel Tarlow, Christian Walder
2023	J	`jnl`	R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents. CoRR Daniel D. Johnson, Daniel Tarlow, Christian Walder
2023	J	`jnl`	Sampled Transformer for Point Sets. CoRR Shidi Li, Christian Walder, Alexander Soen, Lexing Xie, Miaomiao Liu
2022	A*	`conf`	EditVAE: Unsupervised Parts-Aware Controllable 3D Point Cloud Shape Generation. AAAI Shidi Li, Miaomiao Liu, Christian Walder
2022	J	`jnl`	SPA-VAE: Similar-Parts-Assignment for Unsupervised 3D Point Cloud Generation. CoRR Shidi Li, Christian Walder, Miaomiao Liu
2021	J	`jnl`	Dense Uncertainty Estimation. CoRR Jing Zhang, Yuchao Dai, Mochu Xiang, Deng-Ping Fan, Peyman Moghadam, Mingyi He, Christian Walder, Kaihao Zhang, Mehrtash Harandi, Nick Barnes
2021	J	`jnl`	EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation. CoRR Shidi Li, Miaomiao Liu, Christian Walder
2021	J	`jnl`	Humanly Certifying Superhuman Classifiers. CoRR Qiongkai Xu, Christian Walder, Chenchen Xu
2021	—	`conf`	Learning to Continually Learn Rapidly from Few and Noisy Data. MetaDL@AAAI Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2021	J	`jnl`	Learning to Continually Learn Rapidly from Few and Noisy Data. CoRR Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2021	—	`conf`	Plastic and Stable Gated Classifiers for Continual Learning. CVPR Workshops Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2021	A*	`conf`	TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. NeurIPS Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli
2021	J	`jnl`	TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning. CoRR Minchao Wu, Michael Norrish, Christian Walder, Amir Dezfouli
2020	B	`conf`	An Input Residual Connection for Simplifying Gated Recurrent Neural Networks. IJCNN Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2020	—	`conf`	M CVPR Workshops Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2020	J	`jnl`	MTL2L: A Context Aware Neural Optimiser. CoRR Nicholas I-Hsien Kuo, Mehrtash Harandi, Nicolas Fourrier, Christian Walder, Gabriela Ferraro, Hanna Suominen
2019	J	`jnl`	Computer Assisted Composition in Continuous Time. CoRR 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
2019	A*	`conf`	SynthNet: Learning to Synthesize Music End-to-End. IJCAI Florin Schimbinschi, Christian Walder, Sarah M. Erfani, James Bailey
2016	C	`conf`	Modelling Symbolic Music: Beyond the Piano Roll. ACML Christian Walder
2016	J	`jnl`	Modelling Symbolic Music: Beyond the Piano Roll. CoRR Christian Walder
2016	J	`jnl`	Symbolic Music Data Version 1.0. CoRR Christian Walder
2010	J	`jnl`	Rank k Cholesky Up/Down-dating on the GPU: gpucholmodV0.2 CoRR Christian Walder
2010	J	`jnl`	Semi-Supervised Kernel PCA CoRR Christian Walder, Ricardo Henao, Morten Mørup, Lars Kai Hansen
2009	—	`conf`	Markerless 3D Face Tracking. DAGM-Symposium Christian Walder, Martin Breidt, Heinrich H. Bülthoff, Bernhard Schölkopf, Cristóbal Curio
2008	—	`conf`	Diffeomorphic Dimensionality Reduction. NIPS Christian Walder, Bernhard Schölkopf
2008	A*	`conf`	Sparse multiscale gaussian process regression. ICML Christian Walder, Kwang In Kim, Bernhard Schölkopf
2007	—	`conf`	Learning with Transformation Invariant Kernels. NIPS Christian Walder, Olivier Chapelle
2006	J	`jnl`	Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Comput. Graph. Forum Christian Walder, Bernhard Schölkopf, Olivier Chapelle
2006	—	`conf`	Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. NIPS Christian Walder, Bernhard Schölkopf, Olivier Chapelle
2005	A*	`conf`	Implicit surface modelling as an eigenvalue problem. ICML Christian Walder, Olivier Chapelle, Bernhard Schölkopf