Asia
Generalized Sliced Wasserstein Distances
Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo Rohde
Inthis paper,wefirst clarify themathematical connection between the SW distance and the Radon transform. We then utilize the generalized Radon transform to define a new family of distances for probability measures, which we call generalized sliced-Wasserstein (GSW) distances.
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization
The structure of protein-protein complexes is critical for understanding binding dynamics, biological mechanisms, and intervention strategies.
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems
Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E
Neural Information Processing Systems http://nips.cc/
Deep Scale-spaces: Equivariance Over Scale
Neural Information Processing Systems http://nips.cc/
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
Optimization of parameterized policies for reinforcement learning (RL) is an important and challenging problem in artificial intelligence.
Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate
Mikhail Belkin, Daniel J. Hsu, Partha Mitra
Neural Information Processing Systems http://nips.cc/
Dynamic Network Model from Partial Observations
Elahe Ghalebi, Baharan Mirzasoleiman, Radu Grosu, Jure Leskovec
Neural Information Processing Systems http://nips.cc/
G3: AnEffectiveandAdaptiveFrameworkfor WorldwideGeolocalizationUsingLarge Multi-ModalityModels
As a result, existing studies have clear limitations whenscaledtoaworldwidecontext.