Piotr Wojciech Mirowski

Artificial Intelligence · 2009–2022

A researcher in the Science corpus: 15 papers; trusts 406 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 193 citations into it; #9,685 of 35,345 by trust here, #3,703 by citations
• Computer Vision and Pattern Recognition — 143 citations into it; #7,411 of 21,575 by trust here, #2,836 by citations
• Reinforcement Learning — 86 citations into it; #2,077 of 2,242 by trust here, #432 by citations
• Natural Language Processing — 61 citations into it; #2,191 of 5,688 by trust here, #4,682 by citations
• Aerospace Engineering — 38 citations into it; #6,356 of 6,421 by trust here, #1,934 by citations
• Cognitive Neuroscience — 36 citations into it
• Model Architectures — 32 citations into it
• Large Language Models — 22 citations into it

Whom Piotr Wojciech Mirowski trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Graves
4. Yann LeCun
5. Tomas Mikolov
6. Ronald J. Williams
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Kaiming He
10. Sepp Hochreiter

Who trusts Piotr Wojciech Mirowski overall

1. Yuxi Li
2. Devendra Singh Chaplot
3. Lei Tai
4. Jake Bruce
5. Saurabh Gupta
6. Kai Zhu
7. Ruslan Salakhutdinov
8. Yi Wu
9. Sergey Levine
10. Chuang Gan

Papers from Piotr Wojciech Mirowski's perspective

Ordered by how strongly the researchers Piotr Wojciech Mirowski trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Learning to Navigate in Complex Environments (2016) — 958 citations
• Learning to Navigate in Cities Without a Map (2018) — 347 citations
• Unsupervised Predictive Memory in a Goal-Directed Agent (2018) — 206 citations
• Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal (2018) — 37 citations
• One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay (2017) — 63 citations
• Vector-based navigation using grid-like representations in artificial agents (2018) — 716 citations
• Dynamic Factor Graphs for Time Series Modeling (2009) — 53 citations
• Dependency Recurrent Neural Language Models for Sentence Completion (2015) — 61 citations
• CLIP-CLOP: CLIP-Guided Collage and Photomontage (2022) — 18 citations
• Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals (2022) — 396 citations
• Generative Art Using Neural Visual Grammars and Dual Encoders (2021) — 14 citations
• Skilful precipitation nowcasting using deep generative models of radar (2021) — 1,048 citations
• Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View (2020) — 29 citations
• Cross-View Policy Learning for Street Navigation (2019) — 37 citations
• Classification of patterns of EEG synchronization for seizure prediction. (2009) — 405 citations