Dauwels, Justin

9 publications

ICML 2025 Compositional Scene Understanding Through Inverse Generative Modeling Yanbo Wang, Justin Dauwels, Yilun Du
ICLRW 2025 Masked Generative Priors Improve World Models Sequence Modelling Capabilities Cristian Meo, Mircea Tudor Lică, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels
ICLR 2024 $\alpha$TC-VAE: On the Relationship Between Disentanglement and Diversity Cristian Meo, Louis Mahon, Anirudh Goyal, Justin Dauwels
ICMLW 2024 Bayesian-LoRA: LoRA Based Parameter Efficient Fine-Tuning Using Optimal Quantization Levels and Rank Values Trough Differentiable Bayesian Gates Cristian Meo, Ksenia Sycheva, Anirudh Goyal, Justin Dauwels
NeurIPSW 2024 Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases Cristian Meo, Akihiro Nakano, Mircea Tudor Lică, Aniket Rajiv Didolkar, Masahiro Suzuki, Anirudh Goyal, Mengmi Zhang, Justin Dauwels, Yutaka Matsuo, Yoshua Bengio
ICML 2023 Slot-VAE: Object-Centric Scene Generation with Slot Attention Yanbo Wang, Letao Liu, Justin Dauwels
JMLR 2020 Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination Hang Yu, Songwei Wu, Luyin Xin, Justin Dauwels
IJCAI 2020 Modeling Perception Errors Towards Robust Decision Making in Autonomous Vehicles Andrea Piazzoni, Jim Cherian, Martin Slavík, Justin Dauwels
NeurIPS 2007 Measuring Neural Synchrony by Message Passing Justin Dauwels, François Vialatte, Tomasz Rutkowski, Andrzej S. Cichocki