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venue

hessian.AI @ AAAI

58
papers in the register
7
researchers
Anna RohrbachCarsten BinnigFlorian BuschIryna GurevychJan PetersKristian KerstingStefan Roth

papers in the register

  1. Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint)
    AAAI · 2026
  2. SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling
    AAAI · 2026
  3. IMPACT: Integrated Multimodal Pipeline for Rapid Accident Causality Tracking (Student Abstract)
    AAAI · 2026
  4. Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?
    AAAI · 2025
  5. Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching.
    AAAI · 2024
  6. Parameterized Projected Bellman Operator.
    AAAI · 2024
  7. Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations.
    AAAI · 2024
  8. Continually Updating Neural Causal Models.
    AAAI · 2023
  9. Treatment Effect Estimation to Guide Model Optimization in Continual Learning.
    AAAI · 2023
  10. Continual Causal Abstractions.
    AAAI · 2023
  11. Never Ending Reasoning and Learning: Opportunities and Challenges.
    AAAI · 2023
  12. Causal Concept Identification in Open World Environments.
    AAAI · 2023
  13. Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions.
    AAAI · 2021
  14. Low Resource Sequence Tagging with Weak Labels.
    AAAI · 2020
  15. Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology.
    AAAI · 2020
  16. Fine-Grained Argument Unit Recognition and Classification.
    AAAI · 2020
  17. Automatic Bayesian Density Analysis.
    AAAI · 2019
  18. Challenges in the Automatic Analysis of Students' Diagnostic Reasoning.
    AAAI · 2019
  19. COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data.
    AAAI · 2019
  20. Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs.
    AAAI · 2019
  21. Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains.
    AAAI · 2018
  22. Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks.
    AAAI · 2018
  23. Core Dependency Networks.
    AAAI · 2018
  24. UnFlow: Unsupervised Learning of Optical Flow With a Bidirectional Census Loss.
    AAAI · 2018
  25. The Symbolic Interior Point Method.
    AAAI · 2017
  26. Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions.
    AAAI · 2017
  27. Lifted Inference for Convex Quadratic Programs.
    AAAI · 2017
  28. Policy Search with High-Dimensional Context Variables.
    AAAI · 2017
  29. Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags.
    AAAI · 2016
  30. Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach.
    AAAI · 2016
  31. RELOOP: A Python-Embedded Declarative Language for Relational Optimization.
    AAAI · 2016
  32. Power Iterated Color Refinement.
    AAAI · 2014
  33. Lifting Relational MAP-LPs using Cluster Signatures.
    AAAI · 2014
  34. Relational Logistic Regression: The Directed Analog of Markov Logic Networks.
    AAAI · 2014
  35. Lifting Relational MAP-LPs Using Cluster Signatures.
    AAAI · 2014
  36. A Deeper Empirical Analysis of CBP Algorithm: Grounding Is the Bottleneck.
    AAAI · 2014
  37. Preface.
    AAAI · 2014
  38. MapReduce Lifting for Belief Propagation.
    AAAI · 2013
  39. Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP.
    AAAI · 2013
  40. Data-Efficient Generalization of Robot Skills with Contextual Policy Search.
    AAAI · 2013
  41. Reduce and Re-Lift: Bootstrapped Lifted Likelihood Maximization for MAP.
    AAAI · 2013
  42. Using Commonsense Knowledge to Automatically Create (Noisy) Training Examples from Text.
    AAAI · 2013
  43. Preface.
    AAAI · 2013
  44. Lifted Inference via k-Locality.
    AAAI · 2013
  45. Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images.
    AAAI · 2012
  46. Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation.
    AAAI · 2011
  47. Modeling Opponent Actions for Table-Tennis Playing Robot.
    AAAI · 2011
  48. Balancing Safety and Exploitability in Opponent Modeling.
    AAAI · 2011
  49. Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models.
    AAAI · 2010
  50. Relative Entropy Policy Search.
    AAAI · 2010
  51. Symbolic Dynamic Programming for First-order POMDPs.
    AAAI · 2010
  52. Informed Lifting for Message-Passing.
    AAAI · 2010
  53. Lifted Message Passing for Satisfiability.
    AAAI · 2010
  54. Using Wiktionary for Computing Semantic Relatedness.
    AAAI · 2008
  55. Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
    AAAI · 2008
  56. Lifted Probabilistic Inference with Counting Formulas.
    AAAI · 2008
  57. nFOIL: Integrating Naïve Bayes and FOIL.
    AAAI · 2005
  58. Towards Learning Stochastic Logic Programs from Proof-Banks.
    AAAI · 2005

Venues from DBLP. Active register papers only. Corrections or removal · aisr@hessian.ai