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Research map / Probabilistic and scientific modeling / Molecules and proteins

Probabilistic embeddings and relational inference

Uses box embeddings, analogical embeddings and lifted inference for relational data.

93 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Molecules and proteins, keyword cluster “latent · space · representations”

State History Tried Preprints Who Export

Where it stands

Not enough benchmark data Fewer than four papers report the same benchmark, so there is no record to follow.

21 papers in 2023–24 and 31 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic shrank, from 4.3% to 3.3%.

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 4162017: 4172018: 6182019: 6192020: 3202021: 8212022: 10222023: 10232024: 11242025: 9252026: 2226

Most cited paper of each year

Earliest papers here

What has been tried

64 papers here report 595 measured changes (a component added, removed or swapped, compared with a baseline): helped 71%, no clear effect 10%, hurt 14%, mixed 5%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
Add TPD to TraCoWikitext-103 · PCC-0.286 -> 0.167HelpedOn the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling (AAAI 2024 · 9 citations)
Add open-space dispersion and structuringSkin cancer lesions · inter-class angular separationHelpedSeeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling (CVPR 2024 · 7 citations)
Add MLPsFN1.7 without exemplar · F1-score74.76 -> 74.84HelpedFrame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields (AAAI 2024 · 3 citations)
increase optimization steps from 10 to 40Matrix Inverse, harder difficulty · MSE0.2110 -> 0.2063HelpedLearning Iterative Reasoning through Energy Diffusion (ICML 2024 · 3 citations)
add discrete diffusion to PQ semantic IDsScientific · Recall@100.1126 -> 0.1207HelpedBreaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model (NeurIPS 2024 · 2 citations)
Add an invertible neural networkCelebA attractive, male · EO33.4 -> 26.5HelpedConstructing Fair Latent Space for Intersection of Fairness and Explainability (AAAI 2025 · 0 citations)
add autoregressive skill prediction to CSTLIBERO · overall success rate89.5% vs 93.6%HelpedSTAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization (ICML 2025 · 0 citations)
use sequential, history-aware slot prediction instead of simultaneous slot predictionNBA · ADE/FDE0.62/0.94 -> 0.59/0.92HelpedSPHINX: Structural Prediction using Hypergraph Inference Network (ICML 2025 · 0 citations)
Increase transformer blocks from K=2 to K=8Synthetic games, NE solving · NE Gap0.2239 -> 0.0344; 0.1685 -> 0.0554; 0.1344 -> 0.0484; 0.0796 -> 0.0334HelpedNfgTransformer: Equivariant Representation Learning for Normal-form Games (ICLR 2024 · 0 citations)
Initialize search with programs sampled from the probabilistic grammar instead of latent samplesKarel and Karel-Hard tasks · episodic returnNo clear effectReclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces (ICLR 2024 · 0 citations)
clip the potential difference to [-1, 1]PinBall · steps to goalHelpedGoal-Space Planning with Subgoal Models (ICML 2025)
Add the class-dependency escaping strategy, including the conditional mutual information minimization, instead of using only conditional marginal probabilities (DEV1)17 MDC benchmark datasets · Hamming ScoreHelpedTowards Escaping from Class Dependency Modeling for Multi-Dimensional Classification (ICML 2025)

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 52 papers; from OpenAlex and the papers' affiliations).

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    Download BibTeX of 40 key papersOpen the topic in the interactive map

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    Same keyword cluster

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    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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