Papers
8,340 papers found
Hierarchical Neural Coding for Controllable CAD Model Generation
Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne et al.
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs
Guan-Ting Liu, En-Pei Hu, Pu-Jen Cheng et al.
Hierarchies of Reward Machines
Daniel Furelos-Blanco, Mark Law, Anders Jonsson et al.
High-dimensional Clustering onto Hamiltonian Cycle
Tianyi Huang, Shenghui Cheng, Stan Z. Li et al.
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors
Shivam Gupta, Jasper C.H. Lee, Eric Price
High Fidelity Image Counterfactuals with Probabilistic Causal Models
Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro et al.
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance
Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov et al.
High Probability Convergence of Stochastic Gradient Methods
Zijian Liu, Ta Duy Nguyen, Thien Hang Nguyen et al.
Hindsight Learning for MDPs with Exogenous Inputs
Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng et al.
Homomorphism AutoEncoder -- Learning Group Structured Representations from Observed Transitions
Hamza Keurti, Hsiao-Ru Pan, Michel Besserve et al.
HOPE: High-order Graph ODE For Modeling Interacting Dynamics
Xiao Luo, Jingyang Yuan, Zijie Huang et al.
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes
Runlong Zhou, Ruosong Wang, Simon Shaolei Du
How Bad is Top-$K$ Recommendation under Competing Content Creators?
Fan Yao, Chuanhao Li, Denis Nekipelov et al.
How Does Information Bottleneck Help Deep Learning?
Kenji Kawaguchi, Zhun Deng, Xu Ji et al.
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
Yuchen Li, Yuanzhi Li, Andrej Risteski
How Jellyfish Characterise Alternating Group Equivariant Neural Networks
Edward Pearce-Crump
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
Raphael Olivier, Bhiksha Raj
How much does Initialization Affect Generalization?
Sameera Ramasinghe, Lachlan Ewen Macdonald, Moshiur Farazi et al.
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
Ming Li, Sho Sonoda, Feilong Cao et al.
How to address monotonicity for model risk management?
Dangxing Chen, Weicheng Ye
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control
Jacopo Teneggi, Matthew Tivnan, Web Stayman et al.
Human-Timescale Adaptation in an Open-Ended Task Space
Jakob Bauer, Kate Baumli, Feryal Behbahani et al.
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection
Marc Lafon, Elias Ramzi, Clément Rambour et al.