Aaron Courville
- Papers
- 30
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Authored papers
30The Markovian Thinker
arXiv 2025
Adaptive Computation Pruning for the Forgetting Transformer
arXiv 2025
Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
arXiv 2025
Learning Robust Social Strategies with Large Language Models
arXiv 2025
GenRL: Multimodal-foundation world models for generalization in embodied agents
arXiv 2024
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment
arXiv 2024
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
arXiv 2024
Scattered Mixture-of-Experts Implementation
arXiv 2024
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
arXiv 2024
Bigger, Better, Faster: Human-level Atari with human-level efficiency
arXiv 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
arXiv 2023
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
arXiv 2023
Language Model Alignment with Elastic Reset
language-model-alignment-with-elastic-reset
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
arXiv 2022
Deep Reinforcement Learning at the Edge of the Statistical Precipice
NeurIPS 2021 12
Touch-based Curiosity for Sparse-Reward Tasks
arXiv 2021
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
midi-ddsp-detailed-control-of-musical
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
structformer-joint-unsupervised-induction-of
Data-Efficient Reinforcement Learning with Self-Predictive Representations
data-efficient-reinforcement-learning-with-2
Generative Compositional Augmentations for Scene Graph Prediction
ICCV 2021 10
Gradient Starvation: A Learning Proclivity in Neural Networks
NeurIPS 2021 12
Pix2Shape: Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation
arXiv 2020
What Do Compressed Deep Neural Networks Forget?
arXiv 2019
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
melgan-generative-adversarial-networks-for-1
Manifold Mixup: Better Representations by Interpolating Hidden States
ICLR 2019 5
FiLM: Visual Reasoning with a General Conditioning Layer
arXiv 2017
Improved Training of Wasserstein GANs
improved-training-of-wasserstein-gans-1
SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
arXiv 2016
Describing Videos by Exploiting Temporal Structure
describing-videos-by-exploiting-temporal-1
Generative Adversarial Networks
generative-adversarial-networks-1
Affiliations
Frequent co-authors
10from 30 papers
Yoshua Bengio
Sai Rajeswar
Max Schwarzer
Michael Noukhovitch
Milad Aghajohari
Rishabh Agarwal
Alessandro Sordoni
Amirhossein Kazemnejad
Bart Dhoedt
David Vazquez
researcher