2024
Intrinsic PAPR for Point-level 3D Scene Albedo and Shading Editing.
CoRR, 2024
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process.
CoRR, 2024
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis.
Proceedings of the Computer Vision - ECCV 2024, 2024
PAPR in Motion: Seamless Point-level 3D Scene Interpolation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
How Good Are Deep Generative Models for Solving Inverse Problems?
CoRR, 2023
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion.
CoRR, 2023
Diffusion models with location-scale noise.
CoRR, 2023
PAPR: Proximity Attention Point Rendering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Adaptive IMLE for Few-shot Pretraining-free Generative Modelling.
Proceedings of the International Conference on Machine Learning, 2023
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Multimodal Shape Completion via Implicit Maximum Likelihood Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Deep Learning of Latent Edge Types from Relational Data.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, 2022
2021
Shape Completion via IMLE.
CoRR, 2021
Generating the Graph Gestalt: Kernel-Regularized Graph Representation Learning.
CoRR, 2021
Cascading Modular Network (CAM-Net) for Multimodal Image Synthesis.
CoRR, 2021
Gotta Go Fast When Generating Data with Score-Based Models.
CoRR, 2021
Variational Model Inversion Attacks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
DeRF: Decomposed Radiance Fields.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation.
Int. J. Comput. Vis., 2020
Better Knowledge Retention through Metric Learning.
CoRR, 2020
Generating Unobserved Alternatives.
CoRR, 2020
Inclusive GAN: Improving Data and Minority Coverage in Generative Models.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Advances in Machine Learning: Nearest Neighbour Search, Learning to Optimize and Generative Modelling.
PhD thesis, 2019
Trajectory Normalized Gradients for Distributed Optimization.
CoRR, 2019
Approximate Feature Collisions in Neural Nets.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Diverse Image Synthesis From Semantic Layouts via Conditional IMLE.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Are All Training Examples Created Equal? An Empirical Study.
CoRR, 2018
On the Implicit Assumptions of GANs.
CoRR, 2018
Super-Resolution via Conditional Implicit Maximum Likelihood Estimation.
CoRR, 2018
Implicit Maximum Likelihood Estimation.
CoRR, 2018
2017
Learning to Optimize Neural Nets.
CoRR, 2017
Fast k-Nearest Neighbour Search via Prioritized DCI.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 5th International Conference on Learning Representations, 2017
2016
Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Amodal Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2016, 2016
Iterative Instance Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Bandit Label Inference for Weakly Supervised Learning.
CoRR, 2015