Do Robots Need World Models? — CoRL 2026 Workshop
Workshop · Robotics · Austin, Texas, United Statesvia data efficiency
Thu, Nov 12, 2026
Efficiency
17 items across 5 concepts · 1 job open · last seminar 6 Aug 2026
17 results
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Open now2
Postdoctoral Research Associate in AI-Enabled Connected Vehicles and Smart Mobility Systems
Job · Transportation Engineering · Knoxville, Tennessee, United Statesvia energy efficiency
Seminars5
2026
Inference-Time Algorithms: A Theoretical Lens on Tractability and Error Propagation
Andrej Risteski · Carnegie Mellon University
2025
Why it Matters That Babies and Language Models are the Only Known Language Learners
Alex Warstadt · UC San Diegovia data efficiency
2021 and 2020 · 2 more
2021
NMC4 Short Talk: Predictive coding is a consequence of energy efficiency in recurrent neural networks
Abdullahi Ali · Donders Institute for Brainvia energy efficiency
2020
What can we further learn from the brain for artificial intelligence?
Kenji Doya · Okinawa Institute of Science and Technologyvia energy efficiency
ePosters7
FENS 2024
Comparison of learning effects between on-demand and face-to-face classes from the viewpoint of brain activity
Yugo Okada, Kohei Sakaki, Ryuta Kawashimavia learning efficiency
Dynamic fading memory and expectancy effects in the monkey primary visual cortex
Yiling Yang, Johanna Klon-Lipok, Katharine Shapcott et al.via coding efficiency
A novel touch-panel-based serial reversal learning task for assessing cognitive flexibility in mice
Hiroyuki Okuno, Yusuke Suzuki, Takeru Suzuki et al.via learning efficiency
Bernstein2024 · 1 ePoster
2024
Computational modelling of dentate granule cells reveals Pareto optimal trade-off between pattern separation and energy efficiency (economy)
Martin Mittag, Alexander Bird, Hermann Cuntz, Peter Jedlickavia energy efficiency
COSYNE2023 · 1 ePoster, 2022 · 1 ePoster
2023
Recurrent circuits improve neural response prediction and provide insight into cortical circuits
Harold Rockwell, Sicheng Dai, Yimeng Zhang et al.via data efficiency
2022
Learning-to-learn emerges from learning to efficiently reuse neural representations
Vishwa Goudar, Barbara Peysakhovich, Elizabeth A. Buffalo et al.via learning efficiency
Neuromatch 52022 · 1 ePoster
2022
Visualizing surround suppression in deep convolutional neural networks
Xu Panvia coding efficiency
Podcast episodes3
2026
World Models | John Langford (Microsoft AI Labs)
The Information Bottleneckvia data efficiency
Surya Ganguli: The Physics of Intelligence
The Information Bottleneckvia data efficiency
2024
BI 198 Tony Zador: Neuroscience Principles to Improve AI
Brain Inspiredvia data efficiency