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Truyen Tran

Identifiers

  • name variant Truyen Tran 0.60 · backfill

Papers (60)

  1. Eigenvectors of Experts are Training-free Non-collapsing Routers cs.LG · 2026 · author #3
  2. Continual Safety Alignment via Gradient-Based Sample Selection cs.LG · 2026 · author #4
  3. Guardrails in Logit Space: Safety Token Regularization for LLM Alignment cs.LG · 2026 · author #2
  4. Do Domain-specific Experts exist in MoE-based LLMs? cs.CL · 2026 · author #3
  5. FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation cs.CV · 2026 · author #4
  6. Rethinking Sparse Mixture of Experts from a Unified Perspective cs.CL · 2025 · author #3
  7. Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos cs.CV · 2019 · author #3
  8. Improving Generalization and Stability of Generative Adversarial Networks cs.LG · 2019 · author #2
  9. Learning to Remember More with Less Memorization cs.LG · 2019 · author #2
  10. Towards effective AI-powered agile project management cs.SE · 2018 · author #2
  11. Graph Transformation Policy Network for Chemical Reaction Prediction cs.NE · 2018 · author #2
  12. Hybrid Generative-Discriminative Models for Inverse Materials Design stat.ML · 2018 · author #2
  13. Relational dynamic memory networks cs.AI · 2018 · author #2
  14. Committee machine that votes for similarity between materials physics.comp-ph · 2018 · author #5
  15. Variational Memory Encoder-Decoder cs.CL · 2018 · author #2
  16. Attentional Multilabel Learning over Graphs: A Message Passing Approach cs.LG · 2018 · author #2
  17. Dual Control Memory Augmented Neural Networks for Treatment Recommendations cs.LG · 2018 · author #2
  18. Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records cs.NE · 2018 · author #2
  19. A deep tree-based model for software defect prediction cs.SE · 2018 · author #4
  20. Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning cs.LG · 2018 · author #2
  21. Explainable Software Analytics cs.SE · 2018 · author #2
  22. Knowledge Graph Embedding with Multiple Relation Projections cs.AI · 2018 · author #2
  23. Graph Memory Networks for Molecular Activity Prediction cs.LG · 2018 · author #2
  24. Finding Algebraic Structure of Care in Time: A Deep Learning Approach cs.LG · 2017 · author #2
  25. Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization cs.LG · 2017 · author #2
  26. Statistical Latent Space Approach for Mixed Data Modelling and Applications cs.LG · 2017 · author #2
  27. Graph Classification via Deep Learning with Virtual Nodes cs.LG · 2017 · author #2
  28. Automatic feature learning for vulnerability prediction cs.SE · 2017 · author #2
  29. Deep Learning to Attend to Risk in ICU cs.LG · 2017 · author #2
  30. Learning Deep Matrix Representations cs.LG · 2017 · author #2
  31. One Size Fits Many: Column Bundle for Multi-X Learning stat.ML · 2017 · author #2
  32. Multilevel Anomaly Detection for Mixed Data cs.LG · 2016 · author #2
  33. Stabilizing Linear Prediction Models using Autoencoder stat.ML · 2016 · author #2
  34. Column Networks for Collective Classification cs.LG · 2016 · author #2
  35. A deep learning model for estimating story points cs.SE · 2016 · author #3
  36. Outlier Detection on Mixed-Type Data: An Energy-based Approach stat.ML · 2016 · author #2
  37. Faster Training of Very Deep Networks Via p-Norm Gates stat.ML · 2016 · author #2
  38. A deep language model for software code cs.SE · 2016 · author #2
  39. DeepSoft: A vision for a deep model of software cs.SE · 2016 · author #2
  40. Preterm Birth Prediction: Deriving Stable and Interpretable Rules from High Dimensional Data stat.ML · 2016 · author #1
  41. Deepr: A Convolutional Net for Medical Records stat.ML · 2016 · author #2
  42. An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments stat.ML · 2016 · author #2
  43. Learning deep representation of multityped objects and tasks stat.ML · 2016 · author #1
  44. Choice by Elimination via Deep Neural Networks stat.ML · 2016 · author #1
  45. Collaborative filtering via sparse Markov random fields stat.ML · 2016 · author #1
  46. DeepCare: A Deep Dynamic Memory Model for Predictive Medicine stat.ML · 2016 · author #2
  47. Boosted Markov Networks for Activity Recognition cs.LG · 2014 · author #1
  48. Human Activity Learning and Segmentation using Partially Hidden Discriminative Models cs.LG · 2014 · author #1
  49. MCMC for Hierarchical Semi-Markov Conditional Random Fields stat.ML · 2014 · author #1
  50. Mixed-Variate Restricted Boltzmann Machines stat.ML · 2014 · author #1
  51. Thurstonian Boltzmann Machines: Learning from Multiple Inequalities stat.ML · 2014 · author #1
  52. Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis stat.ML · 2014 · author #1
  53. Learning From Ordered Sets and Applications in Collaborative Ranking cs.LG · 2014 · author #1
  54. Learning Structured Outputs from Partial Labels using Forest Ensemble stat.ML · 2014 · author #1
  55. Permutation Models for Collaborative Ranking cs.IR · 2014 · author #1
  56. Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records stat.ML · 2014 · author #2
  57. Learning Rank Functionals: An Empirical Study cs.IR · 2014 · author #1
  58. Stabilized Sparse Ordinal Regression for Medical Risk Stratification stat.AP · 2014 · author #1
  59. Tree-based iterated local search for Markov random fields with applications in image analysis cs.AI · 2014 · author #1
  60. Global optimization using L\'evy flights cs.NE · 2014 · author #1

Mentions

  • 2605.30992 #3 · arxiv_oai · confidence 0.70 Truyen Tran
  • 2503.22996 #3 · arxiv_oai · confidence 0.70 Truyen Tran
  • 1408.3081 #1 · backfill · confidence 0.70 Truyen Tran
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Frequent Coauthors