Papers
Learning Mixed Multinomial Logits with Provable Guarantees
Yiqun Hu, David Simchi-Levi, Zhenzhen Yan
Learning Modular Simulations for Homogeneous Systems
Jayesh Gupta, Sai Vemprala, Ashish Kapoor
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching
Lei Li, Nicolas Donati, Maks Ovsjanikov
Learning Neural Acoustic Fields
Andrew Luo, Yilun Du, Michael Tarr et al.
Learning Neural Set Functions Under the Optimal Subset Oracle
Zijing Ou, Tingyang Xu, Qinliang Su et al.
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
HYUNWOOK KANG, Taehwan Kwon, Jinkyoo Park et al.
Learning on Arbitrary Graph Topologies via Predictive Coding
Tommaso Salvatori, Luca Pinchetti, Beren Millidge et al.
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven et al.
Learning Optical Flow from Continuous Spike Streams
Rui Zhao, Ruiqin Xiong, Jing Zhao et al.
Learning Optimal Flows for Non-Equilibrium Importance Sampling
Yu Cao, Eric Vanden-Eijnden
Learning Options via Compression
Yiding Jiang, Evan Liu, Benjamin Eysenbach et al.
Learning Partial Equivariances From Data
David W. Romero, Suhas Lohit
Learning Physical Dynamics with Subequivariant Graph Neural Networks
Jiaqi Han, Wenbing Huang, Hengbo Ma et al.
Learning Physics Constrained Dynamics Using Autoencoders
Tsung-Yen Yang, Justinian P. Rosca, Karthik Narasimhan et al.
Learning Predictions for Algorithms with Predictions
Misha Khodak, Maria-Florina F Balcan, Ameet Talwalkar et al.
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
Mitch Hill, Erik Nijkamp, Jonathan Mitchell et al.
Learning Recourse on Instance Environment to Enhance Prediction Accuracy
Lokesh N, Guntakanti Sai Koushik, Abir De et al.
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning
Jianda Chen, Sinno Pan
Learning Robust Dynamics through Variational Sparse Gating
Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi et al.
Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences
Wenbo Zhang, likai tang, Site Mo et al.
Learning single-index models with shallow neural networks
Alberto Bietti, Joan Bruna, Clayton Sanford et al.
Learning sparse features can lead to overfitting in neural networks
Leonardo Petrini, Francesco Cagnetta, Eric Vanden-Eijnden et al.
Learning State-Aware Visual Representations from Audible Interactions
Himangi Mittal, Pedro Morgado, Unnat Jain et al.
Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking
Shuchen Wu, Noemi Elteto, Ishita Dasgupta et al.
Learning Substructure Invariance for Out-of-Distribution Molecular Representations
Nianzu Yang, Kaipeng Zeng, Qitian Wu et al.