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hessian.AI @ ICLR

33
papers in the register
11
researchers
Alexander GepperthAnna RohrbachBernhard SickFlorian BuschGeorgia ChalvatzakiIryna GurevychJan PetersJustus ThiesKristian KerstingStefan RothThomas Wallis

papers in the register

  1. BlendRL: A Framework for Merging Symbolic and Neural Policy Learning.
    ICLR · 2025
  2. BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics.
    ICLR · 2025
  3. Inverse decision-making using neural amortized Bayesian actors.
    ICLR · 2025
  4. Systems with Switching Causal Relations: A Meta-Causal Perspective.
    ICLR · 2025
  5. ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding.
    ICLR · 2025
  6. Uncertainty-Aware Decoding with Minimum Bayes Risk.
    ICLR · 2025
  7. Differentially Private Steering for Large Language Model Alignment.
    ICLR · 2025
  8. Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation.
    ICLR · 2025
  9. Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning.
    ICLR · 2025
  10. Time-Efficient Reinforcement Learning with Stochastic Stateful Policies.
    ICLR · 2024
  11. Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts.
    ICLR · 2024
  12. Domain Randomization via Entropy Maximization.
    ICLR · 2024
  13. CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity.
    ICLR · 2024
  14. Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula.
    ICLR · 2024
  15. Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG.
    ICLR · 2024
  16. Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks.
    ICLR · 2024
  17. Model Merging by Uncertainty-Based Gradient Matching.
    ICLR · 2024
  18. Adaptive Rational Activations to Boost Deep Reinforcement Learning.
    ICLR · 2024
  19. Using Language to Extend to Unseen Domains.
    ICLR · 2023
  20. Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning.
    ICLR · 2023
  21. One Explanation Does Not Fit XIL.
    ICLR · 2023
  22. LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning.
    ICLR · 2023
  23. Boosted Curriculum Reinforcement Learning.
    ICLR · 2022
  24. How Much Can CLIP Benefit Vision-and-Language Tasks?
    ICLR · 2022
  25. CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability.
    ICLR · 2022
  26. Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization.
    ICLR · 2021
  27. Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks.
    ICLR · 2020
  28. Structured Object-Aware Physics Prediction for Video Modeling and Planning.
    ICLR · 2020
  29. Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings.
    ICLR · 2020
  30. Image-guided Neural Object Rendering.
    ICLR · 2020
  31. Sharing Knowledge in Multi-Task Deep Reinforcement Learning.
    ICLR · 2020
  32. A comprehensive, application-oriented study of catastrophic forgetting in DNNs.
    ICLR · 2019
  33. Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning.
    ICLR · 2019

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