Frozen video diffusion models, probed at optimal depth and noise levels, produce representations competitive with discriminative encoders across semantic and geometric video tasks in a single forward pass.
hub
Whatever next? Predictive brains, situated agents, and the future of cognitive science , volume =
5 Pith papers cite this work, alongside 5,865 external citations. Polarity classification is still indexing.
5
Pith papers citing it
5,865
external citations · OpenAlex
hub tools
years
2026 5representative citing papers
Sparse autoencoders applied to GPT-2 and Llama models recover semantic features accounting for 94% of peak brain encoding performance and map onto distinct cortical semantic regions across three languages.
A JEPA-style EEG foundation model with shallow EMA targets plus light reconstruction reaches strong multi-task transfer and 3.06-year validation age MAE on a large multi-site corpus.
The paper argues flat minima are an illusion and that a reparameterization-invariant 'weakness' score predicts generalization where raw sharpness fails.
Individual adaptive delegation-verification strategies aggregate via three extrapolation principles into sociotechnical lock-in modeled as a prisoner's dilemma that degrades epistemic standards unless mitigated by communicative standards and institutional norms.
citing papers explorer
-
Gen4U: Unifying Video Generation and Understanding via Diffusion
Frozen video diffusion models, probed at optimal depth and noise levels, produce representations competitive with discriminative encoders across semantic and geometric video tasks in a single forward pass.
-
Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography
Sparse autoencoders applied to GPT-2 and Llama models recover semantic features accounting for 94% of peak brain encoding performance and map onto distinct cortical semantic regions across three languages.
-
STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning
A JEPA-style EEG foundation model with shallow EMA targets plus light reconstruction reaches strong multi-task transfer and 3.06-year validation age MAE on a large multi-site corpus.
-
Are Flat Minima an Illusion?
The paper argues flat minima are an illusion and that a reparameterization-invariant 'weakness' score predicts generalization where raw sharpness fails.
-
The Human-AI Delegation-Verification Dilemma: Individual Strategies, Collective Equilibria and Sociotechnical Lock-in
Individual adaptive delegation-verification strategies aggregate via three extrapolation principles into sociotechnical lock-in modeled as a prisoner's dilemma that degrades epistemic standards unless mitigated by communicative standards and institutional norms.