Jonathan Schwarz

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 31

Top Topics

Information Asymmetry

Gaussian Process

Motion Synthesis

Reinforcement Learning

Top Venues

Publications

Bastian Boll, Jonathan Schwarz, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Stefania Petra, Christoph Schnörr
Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment. SSVM (2023)
Jonathan Schwarz, Jonas Cassel, Bastian Boll, Martin Gärttner, Peter Albers, Christoph Schnörr
Quantum State Assignment Flows. Entropy 25 (9) (2023)
Jonathan Schwarz, Bastian Boll, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Martin Gärttner, Peter Albers, Christoph Schnörr
Quantum State Assignment Flows. SSVM (2023)
Jonathan Schwarz, Jonas Cassel, Bastian Boll, Martin Gärttner, Peter Albers, Christoph Schnörr
Quantum State Assignment Flows. CoRR (2023)
Matthias Bauer, Emilien Dupont, Andy Brock, Dan Rosenbaum, Jonathan Schwarz, Hyunjik Kim
Spatial Functa: Scaling Functa to ImageNet Classification and Generation. CoRR (2023)
Talfan Evans, Shreya Pathak, Hamza Merzic, Jonathan Schwarz, Ryutaro Tanno, Olivier J. Hénaff
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding. CoRR (2023)
Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess
Behavior Priors for Efficient Reinforcement Learning. J. Mach. Learn. Res. 23 (2022)
Jonathan Schwarz, Yee Whye Teh
Meta-Learning Sparse Compression Networks. Trans. Mach. Learn. Res. 2022 (2022)
Pascal Abel, Ricarda Schlimbach, Valentin Glimmann, Jonathan Schwarz, Martin Simon, Susanne Robra-Bissantz
Designing Urban Participation Platforms - Model for Goal-oriented Classification of Participation Mechanisms. Bled eConference (2022)
Bastian Boll, Jonathan Schwarz, Christoph Schnörr
On the Correspondence Between Replicator Dynamics and Assignment Flows. SSVM (2021)
Jonathan Schwarz, Siddhant M. Jayakumar, Razvan Pascanu, Peter E. Latham, Yee Whye Teh
Powerpropagation: A sparsity inducing weight reparameterisation. NeurIPS (2021)
Jonathan Schwarz, Siddhant M. Jayakumar, Razvan Pascanu, Peter E. Latham, Yee Whye Teh
Powerpropagation: A sparsity inducing weight reparameterisation. CoRR (2021)
Jonathan Schwarz, Felix Draxler, Ullrich Köthe, Christoph Schnörr
Riemannian SOS-Polynomial Normalizing Flows. GCPR (2020)
Felix Draxler, Jonathan Schwarz, Christoph Schnörr, Ullrich Köthe
Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows. GCPR (2020)
Dhruva Tirumala, Alexandre Galashov, Hyeonwoo Noh, Leonard Hasenclever, Razvan Pascanu, Jonathan Schwarz, Guillaume Desjardins, Wojciech Marian Czarnecki, Arun Ahuja, Yee Whye Teh, Nicolas Heess
Behavior Priors for Efficient Reinforcement Learning. CoRR (2020)
Michalis K. Titsias, Jonathan Schwarz, Alexander G. de G. Matthews, Razvan Pascanu, Yee Whye Teh
Functional Regularisation for Continual Learning with Gaussian Processes. ICLR (2020)
Siddhant M. Jayakumar, Wojciech M. Czarnecki, Jacob Menick, Jonathan Schwarz, Jack W. Rae, Simon Osindero, Yee Whye Teh, Tim Harley, Razvan Pascanu
Multiplicative Interactions and Where to Find Them. ICLR (2020)
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
Attentive Neural Processes. CoRR (2019)
Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim, Marta Garnelo, David Saxton, Pushmeet Kohli, S. M. Ali Eslami, Yee Whye Teh
Meta-Learning surrogate models for sequential decision making. CoRR (2019)
Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess
Information asymmetry in KL-regularized RL. CoRR (2019)
Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
Attentive Neural Processes. ICLR (Poster) (2019)
Alexandre Galashov, Siddhant M. Jayakumar, Leonard Hasenclever, Dhruva Tirumala, Jonathan Schwarz, Guillaume Desjardins, Wojciech M. Czarnecki, Yee Whye Teh, Razvan Pascanu, Nicolas Heess
Information asymmetry in KL-regularized RL. ICLR (Poster) (2019)
Michalis K. Titsias, Jonathan Schwarz, Alexander G. de G. Matthews, Razvan Pascanu, Yee Whye Teh
Functional Regularisation for Continual Learning using Gaussian Processes. CoRR (2019)
David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy P. Lillicrap, Gregory Wayne
Experience Replay for Continual Learning. NeurIPS (2019)
Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell
Progress & Compress: A scalable framework for continual learning. CoRR (2018)
David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy P. Lillicrap, Greg Wayne
Experience Replay for Continual Learning. CoRR (2018)
Jonathan Schwarz, Wojciech Czarnecki, Jelena Luketina, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell
Progress & Compress: A scalable framework for continual learning. ICML (2018)
Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh
Neural Processes. CoRR (2018)
Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
The NarrativeQA Reading Comprehension Challenge. Trans. Assoc. Comput. Linguistics 6 (2018)
Ikhsanul Habibie, Daniel Holden, Jonathan Schwarz, Joe Yearsley, Taku Komura
A Recurrent Variational Autoencoder for Human Motion Synthesis. BMVC (2017)
Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
The NarrativeQA Reading Comprehension Challenge. CoRR (2017)