Pablo Sprechmann

DeepMind (United Kingdom) — United Kingdom

Engineering · Physical Sciences

24h-index4.3kcitations66works162.02yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(16), Speech and Audio Processing(13), Blind Source Separation Techniques(13), Music and Audio Processing(11), Image and Signal Denoising Methods(9)

Publications64 total

TacticAI: an AI assistant for football tactics
Nature Communications·2024· 54 citedOpen Access
TacticAI: an AI assistant for football tactics
arXiv (Cornell University)·2023· 1 citedOpen Access
Unlocking the Power of Representations in Long-term Novelty-based Exploration
arXiv (Cornell University)·2023Open Access
Multiagent off-screen behavior prediction in football
Scientific Reports·2022· 23 citedOpen Access
Game Plan: What AI can do for Football, and What Football can do for AI
Journal of Artificial Intelligence Research·2021· 10 citedOpen Access
Coverage as a Principle for Discovering Transferable Behavior in Reinforcement Learning
arXiv (Cornell University)·2021· 4 citedOpen Access
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
arXiv (Cornell University)·2021· 12 citedOpen Access
Temporal Difference Uncertainties as a Signal for Exploration
arXiv (Cornell University)·2020· 7 citedOpen Access
Agent57: Outperforming the Atari Human Benchmark
International Conference on Machine Learning·2020· 147 cited
Agent57: Outperforming the Atari Human Benchmark
arXiv (Cornell University)·2020· 143 citedOpen Access
Never Give Up: Learning Directed Exploration Strategies
arXiv (Cornell University)·2020· 80 citedOpen Access
Meta-learning of Sequential Strategies
arXiv (Cornell University)·2019· 34 citedOpen Access
Fast deep reinforcement learning using online adjustments from the past
arXiv (Cornell University)·2018· 18 citedOpen Access
Meta-learning by the baldwin effect
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2018· 27 citedOpen Access
Meta-learning by the Baldwin effect
Proceedings of the Genetic and Evolutionary Computation Conference Companion·2018· 17 cited
Memory-based Parameter Adaptation
arXiv (Cornell University)·2018· 26 citedOpen Access
Quantifying Risk for Anxiety Disorders in Preschool Children: A Machine Learning Approach
PLoS ONE·2016· 45 citedOpen Access
Disentangling factors of variation in deep representations using\n adversarial training
arXiv (Cornell University)·2016· 28 citedOpen Access
Disentangling factors of variation in deep representations using adversarial training
arXiv (Cornell University)·2016· 252 citedOpen Access
Accelerating Eulerian Fluid Simulation With Convolutional Networks
arXiv (Cornell University)·2016· 9 citedOpen Access
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Frequent Co-authors

Guillermo Sapiro(27), Alex Bronstein(10), Charles Blundell(7), Adrià Puigdomènech Badia(6), Steven Kapturowski(6), Alexander Pritzel(6), Yann LeCun(5), Nicolas Heess(5), Ignacio Ramírez(4), Alex Vitvitskyi(4), Demis Hassabis(4), Alexander M. Bronstein(4), André Barreto(4), Grégory Randall(3), Michael M. Bronstein(3), Joan Bruna(3), Daniel Hennes(3), Romuald Élie(3), William Spearman(3), Ian Graham(3)