hessian.AI @ ICML

papers in the register

1. Where is the Truth? The Risk of Getting Confounded in a Continual World.
   ICML · 2025
2. LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models.
   ICML · 2025
3. Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?
   ICML · 2025
4. DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts.
   ICML · 2025
5. Maximum Total Correlation Reinforcement Learning.
   ICML · 2025
6. DIME: Diffusion-Based Maximum Entropy Reinforcement Learning.
   ICML · 2025
7. Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.
   ICML · 2024
8. Mechanistic Design and Scaling of Hybrid Architectures.
   ICML · 2024
9. Variational Learning is Effective for Large Deep Networks.
   ICML · 2024
10. Learning to Intervene on Concept Bottlenecks.
    ICML · 2024
11. ILLUME: Rationalizing Vision-Language Models through Human Interactions.
    ICML · 2023
12. Entropy-driven Unsupervised Keypoint Representation Learning in Videos.
    ICML · 2023
13. Curriculum Reinforcement Learning via Constrained Optimal Transport.
    ICML · 2022
14. Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks.
    ICML · 2022
15. Whittle Networks: A Deep Likelihood Model for Time Series.
    ICML · 2021
16. Convex Regularization in Monte-Carlo Tree Search.
    ICML · 2021
17. Value Iteration in Continuous Actions, States and Time.
    ICML · 2021
18. Compositional Video Synthesis with Action Graphs.
    ICML · 2021
19. Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits.
    ICML · 2020
20. Switching Linear Dynamics for Variational Bayes Filtering.
    ICML · 2019
21. Projections for Approximate Policy Iteration Algorithms.
    ICML · 2019
22. Faster Attend-Infer-Repeat with Tractable Probabilistic Models.
    ICML · 2019
23. PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos.
    ICML · 2018
24. Local Bayesian Optimization of Motor Skills.
    ICML · 2017
25. Stability of Controllers for Gaussian Process Forward Models.
    ICML · 2016
26. Learning complex motions by sequencing simpler motion templates.
    ICML · 2009
27. Non-parametric policy gradients: a unified treatment of propositional and relational domains.
    ICML · 2008
28. Most likely heteroscedastic Gaussian process regression.
    ICML · 2007
29. Reinforcement learning by reward-weighted regression for operational space control.
    ICML · 2007
30. Bellman goes relational.
    ICML · 2004

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