Michael J. Hutchinson

17 papers A* 6Journal 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Target Score Matching. CoRR Valentin De Bortoli, Michael J. Hutchinson, Peter Wirnsberger, Arnaud Doucet
2023	J	`jnl`	Diffusion Models for Constrained Domains. CoRR Nic Fishman, Leo Klarner, Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson
2023	A*	`conf`	Geometric Neural Diffusion Processes. NeurIPS Emile Mathieu, Vincent Dutordoir, Michael J. Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard E. Turner
2023	J	`jnl`	Geometric Neural Diffusion Processes. CoRR Emile Mathieu, Vincent Dutordoir, Michael J. Hutchinson, Valentin De Bortoli, Yee Whye Teh, Richard E. Turner
2023	A*	`conf`	Metropolis Sampling for Constrained Diffusion Models. NeurIPS Nic Fishman, Leo Klarner, Emile Mathieu, Michael J. Hutchinson, Valentin De Bortoli
2023	J	`jnl`	Metropolis Sampling for Constrained Diffusion Models. CoRR Nic Fishman, Leo Klarner, Emile Mathieu, Michael J. Hutchinson, Valentin De Bortoli
2022	J	`jnl`	Riemannian Diffusion Schrödinger Bridge. CoRR James Thornton, Michael J. Hutchinson, Emile Mathieu, Valentin De Bortoli, Yee Whye Teh, Arnaud Doucet
2022	J	`jnl`	Riemannian Score-Based Generative Modeling. CoRR Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
2022	A*	`conf`	Riemannian Score-Based Generative Modelling. NeurIPS Valentin De Bortoli, Emile Mathieu, Michael J. Hutchinson, James Thornton, Yee Whye Teh, Arnaud Doucet
2022	J	`jnl`	Spectral Diffusion Processes. CoRR Angus Phillips, Thomas Seror, Michael J. Hutchinson, Valentin De Bortoli, Arnaud Doucet, Emile Mathieu
2021	A*	`conf`	Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes. ICML Peter Holderrieth, Michael J. Hutchinson, Yee Whye Teh
2021	A*	`conf`	LieTransformer: Equivariant Self-Attention for Lie Groups. ICML Michael J. Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim
2021	J	`jnl`	Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Equivariant Projected Kernels. CoRR Michael J. Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth
2021	A*	`conf`	Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels. NeurIPS Michael J. Hutchinson, Alexander Terenin, Viacheslav Borovitskiy, So Takao, Yee Whye Teh, Marc Peter Deisenroth
2020	J	`jnl`	Equivariant Conditional Neural Processes. CoRR Peter Holderrieth, Michael J. Hutchinson, Yee Whye Teh
2020	J	`jnl`	LieTransformer: Equivariant self-attention for Lie Groups. CoRR Michael J. Hutchinson, Charline Le Lan, Sheheryar Zaidi, Emilien Dupont, Yee Whye Teh, Hyunjik Kim
2019	J	`jnl`	Differentially Private Federated Variational Inference. CoRR Mrinank Sharma, Michael J. Hutchinson, Siddharth Swaroop, Antti Honkela, Richard E. Turner