🧬 EmbedDiff (ESM-2) Summary Report

Date Generated: 2025-08-29 12:04:02

🔍 Embedding Analysis & Classification

This section shows the analysis of ESM-2 embeddings including domain clustering and logistic regression classification results.

Figure 1: t-SNE by Domain (ESM-2)

Figure 2: Logistic Regression Per-Class Recall (ESM-2)

🚀 Diffusion & Generation Results

This section shows the results of the EmbedDiff latent diffusion model training and synthetic sequence generation.

Figure 3: Logistic Regression Confusion Matrix (ESM-2)

Figure 4: Diffusion Training Loss (ESM-2)

Figure 5: Generated Embeddings t-SNE (ESM-2)

Figure 6: Transformer Decoder Loss (ESM-2)

Figure 7: Real-Real Cosine Similarity (ESM-2)

Figure 8: Generated-Generated Cosine Similarity (ESM-2)

Figure 9: Real-Generated Cosine Similarity (ESM-2)

Figure 10: Identity Histogram (ESM-2)

Figure 11: Entropy vs Identity Scatter (ESM-2)

Figure 12: All Histograms (ESM-2)

Figure 13: t-SNE Domain Overlay (ESM-2)

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