Thomas Bird

13 papers A* 3A 1C 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2022	A	`conf`	A Memory Transformer Network for Incremental Learning. BMVC Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid
2022	J	`jnl`	A Memory Transformer Network for Incremental Learning. CoRR Ahmet Iscen, Thomas Bird, Mathilde Caron, Alireza Fathi, Cordelia Schmid
2021	C	`conf`	3D Scene Compression through Entropy Penalized Neural Representation Functions. PCS Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou
2021	J	`jnl`	3D Scene Compression through Entropy Penalized Neural Representation Functions. CoRR Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou
2021	A*	`conf`	Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks. ICLR Thomas Bird, Friso H. Kingma, David Barber
2020	A*	`conf`	HiLLoC: lossless image compression with hierarchical latent variable models. ICLR James Townsend, Thomas Bird, Julius Kunze, David Barber
2020	J	`jnl`	Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks. CoRR Thomas Bird, Friso H. Kingma, David Barber
2020	A*	`conf`	Spread Divergence. ICML Mingtian Zhang, Peter Hayes, Thomas Bird, Raza Habib, David Barber
2019	J	`jnl`	HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models. CoRR James Townsend, Thomas Bird, Julius Kunze, David Barber
2019	—	`conf`	Practical lossless compression with latent variables using bits back coding. ICLR (Poster) James Townsend, Thomas Bird, David Barber
2019	J	`jnl`	Variational f-divergence Minimization. CoRR Mingtian Zhang, Thomas Bird, Raza Habib, Tianlin Xu, David Barber
2018	J	`jnl`	Spread Divergences. CoRR David Barber, Mingtian Zhang, Raza Habib, Thomas Bird
2018	J	`jnl`	Stochastic Variational Optimization. CoRR Thomas Bird, Julius Kunze, David Barber