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Research map / Probabilistic and scientific modeling / Molecules and proteins

Multimodal trajectory prediction

Predicts agent trajectories using causal disentanglement, trajectory sets and graph models.

95 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2016–2026) · an approach in Molecules and proteins, keyword cluster “flow · trajectory · matching”

State History Benchmarks Tried Checklist Preprints Who Export

Where it stands

Few recent reports None of the tracked benchmarks has a report from 2025–26.

17 papers in 2023–24 and 47 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic grew, from 3.5% to 5.1%.

No longer reported by papers here: ETH/UCY AVG (ADE, last in 2024); ETH/UCY AVG (FDE, last in 2022).

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: 1162017: 1172018: 3182019: 2192020: 7202021: 7212022: 10222023: 3232024: 14242025: 18252026: 2926

Most cited paper of each year

Earliest papers here

Benchmark records

The best number each year that beat every earlier one, among papers of this approach reporting their own method. Numbers are extracted by AI from each paper's text; check the paper before citing.

ETH/UCY AVG · ADE (lower is better)

5 papers, 2021–2024 · not reported since 2024

2021: 0.212024: 0.03
20212024
YearBest so farSet by
20210.21Trajectory Prediction With Latent Belief Energy-Based Model (CVPR 2021 · 90 citations)
20240.03SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents (AAAI 2024 · 10 citations)

ETH/UCY AVG · FDE (lower is better)

4 papers, 2021–2022 · not reported since 2022

2021: 0.382022: 0.36
20212022
YearBest so farSet by
20210.38Trajectory Prediction With Latent Belief Energy-Based Model (CVPR 2021 · 90 citations)
20220.36Non-Probability Sampling Network for Stochastic Human Trajectory Prediction (CVPR 2022 · 77 citations)

What has been tried

59 papers here report 604 measured changes (a component added, removed or swapped, compared with a baseline): helped 76%, no clear effect 7%, hurt 15%, mixed 2%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
Add polar-coordinate representation instead of Cartesian coordinatesNGSIM overall test, 5 s · RMSE (m)4.02 -> 3.62HelpedBAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving (AAAI 2024 · 64 citations)
add causal disentanglement to the DyHIN baselineAGV2 validation · minADE60.93 -> 0.88HelpedCaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving (CVPR 2024 · 26 citations)
Replace IMLE distillation with WGANNBA · min20ADE0.71 -> 1.78HurtMoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation (CVPR 2025 · 20 citations)
add social physics guidance and the crowd interaction moduleGC · MAE3.3102 -> 0.9116HelpedSocial Physics Informed Diffusion Model for Crowd Simulation (AAAI 2024 · 16 citations)
add semantic- and motion-conditional normalization in memory (ego-motion)nuScenes Inflated GMO ablation · mIoU_f (1s)+1.9 (26.4 to 28.3)HelpedDriving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving (AAAI 2025 · 14 citations)
Add flow and object modalities to RGBEK100 validation, K700 features · Top-5 recall (action)20.3 -> 23.0HelpedUncertainty-aware Action Decoupling Transformer for Action Anticipation (CVPR 2024 · 14 citations)
add the attention model to the coarse prediction modelSDD · ADE8.64 -> 1.48HelpedSocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents (AAAI 2024 · 10 citations)
replace parallel DETR-style decoding with sequential mode decodingWOMD validation, 20% training data · Soft mAP60.4050 -> 0.4138HelpedModeSeq: Taming Sparse Multimodal Motion Prediction with Sequential Mode Modeling (CVPR 2025 · 9 citations)
Add the refinement module to C2F-TP (C)NGSIM, 5s average · ADE0.81 -> 0.79HelpedC2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction (AAAI 2025 · 8 citations)
Add the ground-truth trajectory loss LT alongside EmLoco lossJTA · ADE3.52 -> 0.97HelpedPhysical Plausibility-aware Trajectory Prediction via Locomotion Embodiment (CVPR 2025 · 8 citations)
Add the kinematics feature extractorArgoverse · ECE0.1395 -> 0.1335HelpedCCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving (AAAI 2024 · 8 citations)
add SVAnuScenes val, generated samples · NDS32.1 -> 34.3HelpedSubjectDrive: Scaling Generative Data in Autonomous Driving via Subject Control (AAAI 2025 · 7 citations)

What reviewers will expect

Datasets and baselines named in the 21 papers of this approach from 2025–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.

Datasets

  • nuScenes · 5 of 21 papers
  • highD · 2 of 21 papers
  • ETH-UCY · 2 of 21 papers
  • Waymo Open Motion Dataset · 2 of 21 papers
  • Argoverse2 · 2 of 21 papers
  • NAVSIM · 2 of 21 papers
  • nuPlan · 2 of 21 papers

Baselines

  • CS-LSTM · 2 of 21 papers
  • LED · 2 of 21 papers
  • UniAD · 2 of 21 papers
  • VAD-Base · 2 of 21 papers
  • Trajectron++ · 2 of 21 papers
  • EqMotion · 2 of 21 papers
  • QCNet · 2 of 21 papers
  • MTR++ · 2 of 21 papers

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 64 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 39 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    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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