Saved in:
| Main Authors: | Carvalho, Wilka, Tomov, Momchil S., de Cothi, William, Barry, Caswell, Gershman, Samuel J. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.06590 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Task diversity produces systematic transfer but inhibits continual reinforcement learning
by: Seth, Purab, et al.
Published: (2026)
by: Seth, Purab, et al.
Published: (2026)
Artificial intelligence for science: The easy and hard problems
by: Battleday, Ruairidh M., et al.
Published: (2024)
by: Battleday, Ruairidh M., et al.
Published: (2024)
Fast weight programming and linear transformers: from machine learning to neurobiology
by: Irie, Kazuki, et al.
Published: (2025)
by: Irie, Kazuki, et al.
Published: (2025)
Preemptive Solving of Future Problems: Multitask Preplay in Humans and Machines
by: Carvalho, Wilka, et al.
Published: (2025)
by: Carvalho, Wilka, et al.
Published: (2025)
Key-value memory in the brain
by: Gershman, Samuel J., et al.
Published: (2025)
by: Gershman, Samuel J., et al.
Published: (2025)
Explainable deep learning improves human mental models of self-driving cars
by: Kenny, Eoin M., et al.
Published: (2024)
by: Kenny, Eoin M., et al.
Published: (2024)
How to Stay Curious while Avoiding Noisy TVs using Aleatoric Uncertainty Estimation
by: Mavor-Parker, Augustine N., et al.
Published: (2021)
by: Mavor-Parker, Augustine N., et al.
Published: (2021)
Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
by: Jha, Kunal, et al.
Published: (2025)
by: Jha, Kunal, et al.
Published: (2025)
Using Forwards-Backwards Models to Approximate MDP Homomorphisms
by: Mavor-Parker, Augustine N., et al.
Published: (2022)
by: Mavor-Parker, Augustine N., et al.
Published: (2022)
$σ$-PCA: a building block for neural learning of identifiable linear transformations
by: Kanavati, Fahdi, et al.
Published: (2023)
by: Kanavati, Fahdi, et al.
Published: (2023)
Frequency and Generalisation of Periodic Activation Functions in Reinforcement Learning
by: Mavor-Parker, Augustine N., et al.
Published: (2024)
by: Mavor-Parker, Augustine N., et al.
Published: (2024)
TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning
by: Tomov, Momchil S., et al.
Published: (2025)
by: Tomov, Momchil S., et al.
Published: (2025)
Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior
by: Carvalho, Wilka, et al.
Published: (2025)
by: Carvalho, Wilka, et al.
Published: (2025)
Automated Classification of Model Errors on ImageNet
by: Peychev, Momchil, et al.
Published: (2023)
by: Peychev, Momchil, et al.
Published: (2023)
Subjective functions
by: Gershman, Samuel J.
Published: (2025)
by: Gershman, Samuel J.
Published: (2025)
Artificial intelligence for representing and characterizing quantum systems
by: Du, Yuxuan, et al.
Published: (2025)
by: Du, Yuxuan, et al.
Published: (2025)
Dance recalibration for dance coherency with recurrent convolution block
by: Eum, Seungho, et al.
Published: (2025)
by: Eum, Seungho, et al.
Published: (2025)
Assessing Adaptive World Models in Machines with Novel Games
by: Ying, Lance, et al.
Published: (2025)
by: Ying, Lance, et al.
Published: (2025)
An overview of diffusion models for generative artificial intelligence
by: Gallon, Davide, et al.
Published: (2024)
by: Gallon, Davide, et al.
Published: (2024)
Applications of Explainable artificial intelligence in Earth system science
by: Huang, Feini, et al.
Published: (2024)
by: Huang, Feini, et al.
Published: (2024)
Concept frustration: Aligning human concepts and machine representations
by: Parisini, Enrico, et al.
Published: (2026)
by: Parisini, Enrico, et al.
Published: (2026)
Gauge-invariant representation holonomy
by: Sevetlidis, Vasileios, et al.
Published: (2026)
by: Sevetlidis, Vasileios, et al.
Published: (2026)
Position: The Future of Bayesian Prediction Is Prior-Fitted
by: Müller, Samuel, et al.
Published: (2025)
by: Müller, Samuel, et al.
Published: (2025)
Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks
by: Zhan, Shichen, et al.
Published: (2024)
by: Zhan, Shichen, et al.
Published: (2024)
Rethinking industrial artificial intelligence: a unified foundation framework
by: Lee, Jay, et al.
Published: (2025)
by: Lee, Jay, et al.
Published: (2025)
Context selectivity with dynamic availability enables lifelong continual learning
by: Barry, Martin, et al.
Published: (2023)
by: Barry, Martin, et al.
Published: (2023)
Detecting and explaining postpartum depression in real-time with generative artificial intelligence
by: García-Méndez, Silvia, et al.
Published: (2025)
by: García-Méndez, Silvia, et al.
Published: (2025)
A proximal policy optimization based intelligent home solar management
by: Creer, Kode, et al.
Published: (2024)
by: Creer, Kode, et al.
Published: (2024)
Multi-task Domain Adaptation for Computation Offloading in Edge-intelligence Networks
by: Han, Runxin, et al.
Published: (2025)
by: Han, Runxin, et al.
Published: (2025)
Separable neural architectures as a primitive for unified predictive and generative intelligence
by: Batley, Reza T., et al.
Published: (2026)
by: Batley, Reza T., et al.
Published: (2026)
Can AI autonomously build, operate, and use the entire data stack?
by: Agarwal, Arvind, et al.
Published: (2025)
by: Agarwal, Arvind, et al.
Published: (2025)
Patient Outcome Predictions Improve Operations at a Large Hospital Network
by: Na, Liangyuan, et al.
Published: (2023)
by: Na, Liangyuan, et al.
Published: (2023)
Calibrating Biophysical Models for Grape Phenology Prediction via Multi-Task Learning
by: Solow, William, et al.
Published: (2025)
by: Solow, William, et al.
Published: (2025)
Contrastive representations of high-dimensional, structured treatments
by: Andreu, Oriol Corcoll, et al.
Published: (2024)
by: Andreu, Oriol Corcoll, et al.
Published: (2024)
On convex decision regions in deep network representations
by: Tětková, Lenka, et al.
Published: (2023)
by: Tětková, Lenka, et al.
Published: (2023)
Towards efficient representation identification in supervised learning
by: Ahuja, Kartik, et al.
Published: (2022)
by: Ahuja, Kartik, et al.
Published: (2022)
Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation
by: Santos, Moisés, et al.
Published: (2023)
by: Santos, Moisés, et al.
Published: (2023)
TastepepAI, An artificial intelligence platform for taste peptide de novo design
by: Yue, Jianda, et al.
Published: (2025)
by: Yue, Jianda, et al.
Published: (2025)
An adaptive sampling algorithm for data-generation to build a data-manifold for physical problem surrogate modeling
by: Mang, Chetra, et al.
Published: (2025)
by: Mang, Chetra, et al.
Published: (2025)
AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
by: Deiseroth, Björn, et al.
Published: (2023)
by: Deiseroth, Björn, et al.
Published: (2023)
Similar Items
-
Task diversity produces systematic transfer but inhibits continual reinforcement learning
by: Seth, Purab, et al.
Published: (2026) -
Artificial intelligence for science: The easy and hard problems
by: Battleday, Ruairidh M., et al.
Published: (2024) -
Fast weight programming and linear transformers: from machine learning to neurobiology
by: Irie, Kazuki, et al.
Published: (2025) -
Preemptive Solving of Future Problems: Multitask Preplay in Humans and Machines
by: Carvalho, Wilka, et al.
Published: (2025) -
Key-value memory in the brain
by: Gershman, Samuel J., et al.
Published: (2025)