Topic Pages

Files

• action-conditioned-time-series-datasets.md - Comparison of temporal datasets with actions, interventions, treatments, or logged decisions for action-conditioned world models.
• byte-level-language-models.md - Language modeling directly over bytes or byte-derived latent units.
• causal-time-series.md - Causal structure, reasoning, and synthetic generation for temporal data.
• energy-based-models.md - Energy-based and latent-variable framing for autonomous intelligence.
• jepa.md - Joint Embedding Predictive Architecture as a recurring predictive-representation pattern.
• latent-space-predictive-learning.md - Training by predicting future representations rather than raw observations.
• latent-tokenization.md - Learned chunking, concepts, and token alternatives.
• mixture-of-experts.md - MoE as compute allocation and multimodal specialization.
• rank-and-flow-methods.md - Rank structure and compression in time-series Transformers.
• representation-collapse.md - Collapse avoidance and embedding-distribution regularization.
• self-supervised-representation-learning.md - SSL methods for visual and general representation learning.
• synthetic-data-for-time-series.md - Synthetic temporal data for pretraining, alignment, and reasoning.
• time-series-foundation-models.md - Foundation models for forecasting, understanding, generation, and reasoning over time series.
• tokenizer-transfer.md - Transfer and distillation between tokenization regimes.
• unified-multimodal-models.md - Models that combine understanding and generation across modalities.
• vision-foundation-models.md - Scaled vision encoders, pixel representations, and dense features.
• vision-language-models.md - Vision-language learning beyond standard autoregressive VLMs.
• world-models.md - Predictive models of environment dynamics for planning and control.