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venue

hessian.AI @ NeurIPS

59
papers in the register
12
researchers
Anna RohrbachBernhard SickCarsten BinnigGeorgia ChalvatzakiIryna GurevychJan PetersJustus ThiesKristian KerstingSimone Schaub-MeyerStefan RothThomas WallisVisvanathan Ramesh

papers in the register

  1. Diffusion Classifiers Understand Compositionality, but Conditions Apply.
    NeurIPS · 2025
  2. Measuring and Guiding Monosemanticity.
    NeurIPS · 2025
  3. HairFree: Compositional 2D Head Prior for Text-Driven 360° Bald Texture Synthesis.
    NeurIPS · 2025
  4. EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition.
    NeurIPS · 2025
  5. dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans.
    NeurIPS · 2024
  6. A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics.
    NeurIPS · 2024
  7. Benchmarking the Attribution Quality of Vision Models.
    NeurIPS · 2024
  8. WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata.
    NeurIPS · 2024
  9. Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient.
    NeurIPS · 2024
  10. Graph Neural Networks Need Cluster-Normalize-Activate Modules.
    NeurIPS · 2024
  11. Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents.
    NeurIPS · 2024
  12. Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models.
    NeurIPS · 2024
  13. Neural Concept Binder.
    NeurIPS · 2024
  14. DeiSAM: Segment Anything with Deictic Prompting.
    NeurIPS · 2024
  15. Pseudo-Likelihood Inference.
    NeurIPS · 2023
  16. Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures.
    NeurIPS · 2023
  17. Accelerating Motion Planning via Optimal Transport.
    NeurIPS · 2023
  18. SEGA: Instructing Text-to-Image Models using Semantic Guidance.
    NeurIPS · 2023
  19. Do Not Marginalize Mechanisms, Rather Consolidate!
    NeurIPS · 2023
  20. Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction.
    NeurIPS · 2023
  21. MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation.
    NeurIPS · 2023
  22. ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation.
    NeurIPS · 2023
  23. Characteristic Circuits.
    NeurIPS · 2023
  24. Information-Theoretic Safe Exploration with Gaussian Processes.
    NeurIPS · 2022
  25. Neural Shape Deformation Priors.
    NeurIPS · 2022
  26. Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens.
    NeurIPS · 2022
  27. K-LITE: Learning Transferable Visual Models with External Knowledge.
    NeurIPS · 2022
  28. Benchmark for Compositional Text-to-Image Synthesis.
    NeurIPS · 2021
  29. NeurIPS’22 Cross-Domain MetaDL Challenge: Results and lessons learned.
    NeurIPS · 2021
  30. CLIP-It! Language-Guided Video Summarization.
    NeurIPS · 2021
  31. How Well do Feature Visualizations Support Causal Understanding of CNN Activations?
    NeurIPS · 2021
  32. Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models.
    NeurIPS · 2021
  33. SciGen: a Dataset for Reasoning-Aware Text Generation from Scientific Tables.
    NeurIPS · 2021
  34. BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models.
    NeurIPS · 2021
  35. Real Robot Challenge: A Robotics Competition in the Cloud.
    NeurIPS · 2021
  36. TransformerFusion: Monocular RGB Scene Reconstruction using Transformers.
    NeurIPS · 2021
  37. A Procedural World Generation Framework for Systematic Evaluation of Continual Learning.
    NeurIPS · 2021
  38. Dense Unsupervised Learning for Video Segmentation.
    NeurIPS · 2021
  39. Fast Axiomatic Attribution for Neural Networks.
    NeurIPS · 2021
  40. Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring.
    NeurIPS · 2020
  41. Diverse Image Captioning with Context-Object Split Latent Spaces.
    NeurIPS · 2020
  42. Neural Non-Rigid Tracking.
    NeurIPS · 2020
  43. Self-Paced Deep Reinforcement Learning.
    NeurIPS · 2020
  44. Neural Nearest Neighbors Networks.
    NeurIPS · 2018
  45. Speaker-Follower Models for Vision-and-Language Navigation.
    NeurIPS · 2018
  46. Catching heuristics are optimal control policies.
    NeurIPS · 2016
  47. Model-Based Relative Entropy Stochastic Search.
    NeurIPS · 2015
  48. Mind the Nuisance: Gaussian Process Classification using Privileged Noise.
    NeurIPS · 2014
  49. Probabilistic Movement Primitives.
    NeurIPS · 2013
  50. Algorithms for Learning Markov Field Policies.
    NeurIPS · 2012
  51. Symbolic Dynamic Programming for Continuous State and Observation POMDPs.
    NeurIPS · 2012
  52. A Non-Parametric Approach to Dynamic Programming.
    NeurIPS · 2011
  53. Switched Latent Force Models for Movement Segmentation.
    NeurIPS · 2010
  54. Movement extraction by detecting dynamics switches and repetitions.
    NeurIPS · 2010
  55. Policy Search for Motor Primitives in Robotics.
    NeurIPS · 2008
  56. Fitted Q-iteration by Advantage Weighted Regression.
    NeurIPS · 2008
  57. Local Gaussian Process Regression for Real Time Online Model Learning.
    NeurIPS · 2008
  58. Using Bayesian Dynamical Systems for Motion Template Libraries.
    NeurIPS · 2008
  59. Modeling Neural Population Spiking Activity with Gibbs Distributions.
    NeurIPS · 2005

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