Alexander Lerchner

Orcid: 0000-0002-4798-150X

According to our database1, Alexander Lerchner authored at least 27 papers between 2003 and 2023.

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Bibliography

2023
SODA: Bottleneck Diffusion Models for Representation Learning.
CoRR, 2023

Evaluating VLMs for Score-Based, Multi-Probe Annotation of 3D Objects.
CoRR, 2023

2022
Reasoning-Modulated Representations.
Proceedings of the Learning on Graphs Conference, 2022

2021
Constellation: Learning relational abstractions over objects for compositional imagination.
CoRR, 2021

Alchemy: A structured task distribution for meta-reinforcement learning.
CoRR, 2021

Formalising Concepts as Grounded Abstractions.
CoRR, 2021

SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

PARTS: Unsupervised segmentation with slots, attention and independence maximization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Unsupervised Model Selection for Variational Disentangled Representation Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
A Heuristic for Unsupervised Model Selection for Variational Disentangled Representation Learning.
CoRR, 2019

COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration.
CoRR, 2019

MONet: Unsupervised Scene Decomposition and Representation.
CoRR, 2019

Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs.
CoRR, 2019

Multi-Object Representation Learning with Iterative Variational Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Towards a Definition of Disentangled Representations.
CoRR, 2018

Understanding disentangling in β-VAE.
CoRR, 2018

Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SCAN: Learning Hierarchical Compositional Visual Concepts.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
SCAN: Learning Abstract Hierarchical Compositional Visual Concepts.
CoRR, 2017

DARLA: Improving Zero-Shot Transfer in Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Early Visual Concept Learning with Unsupervised Deep Learning.
CoRR, 2016

2006
Response Variability in Balanced Cortical Networks.
Neural Comput., 2006

2005
Synaptic model for spontaneous activity in developing networks.
Neurocomputing, 2005

2004
High-conductance states in a mean-field cortical network model.
Neurocomputing, 2004

2003
Mean Field Methods for Cortical Network Dynamics.
Proceedings of the Computational Neuroscience: Cortical Dynamics, 2003


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