Papers
Equivariant Networks for Hierarchical Structures
Renhao Wang, Marjan Albooyeh, Siamak Ravanbakhsh
Identifying signal and noise structure in neural population activity with Gaussian process factor models
Stephen Keeley, Mikio Aoi, Yiyi Yu et al.
O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers
Chulhee Yun, Yin-Wen Chang, Srinadh Bhojanapalli et al.
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Xiangyi Chen, Steven Z. Wu, Mingyi Hong
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis
Gang Wang, Songtao Lu, Georgios Giannakis et al.
Group-Fair Online Allocation in Continuous Time
Semih Cayci, Swati Gupta, Atilla Eryilmaz
Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech
Shailee Jain, Vy Vo, Shivangi Mahto et al.
The Potts-Ising model for discrete multivariate data
Zahra Razaee, Arash Amini
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning
Jiahao Su, Wonmin Byeon, Jean Kossaifi et al.
Deep Automodulators
Ari Heljakka, Yuxin Hou, Juho Kannala et al.
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
Davis Rempe, Tolga Birdal, Yongheng Zhao et al.
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
Hayata Yamasaki, Sathyawageeswar Subramanian, Sho Sonoda et al.
A Local Temporal Difference Code for Distributional Reinforcement Learning
Pablo Tano, Peter Dayan, Alexandre Pouget
Multi-agent active perception with prediction rewards
Mikko Lauri, Frans Oliehoek
Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms
Sascha Saralajew, Lars Holdijk, Thomas Villmann
Smoothed Geometry for Robust Attribution
Zifan Wang, Haofan Wang, Shakul Ramkumar et al.
Fairness in Streaming Submodular Maximization: Algorithms and Hardness
Marwa El Halabi, Slobodan Mitrović, Ashkan Norouzi-Fard et al.
Neurosymbolic Transformers for Multi-Agent Communication
Jeevana Priya Inala, Yichen Yang, James Paulos et al.
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals
Ilias Diakonikolas, Daniel Kane, Nikos Zarifis
Efficient Learning of Discrete Graphical Models
Marc Vuffray, Sidhant Misra, Andrey Lokhov
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder
Cheng Chi, Fangyun Wei, Han Hu
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training
Chia-Yu Chen, Jiamin Ni, Songtao Lu et al.
Evolving Normalization-Activation Layers
Hanxiao Liu, Andy Brock, Karen Simonyan et al.
Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control
Giorgos ('Yorgos') Mamakoukas, Orest Xherija, Todd Murphey
Adversarial Counterfactual Learning and Evaluation for Recommender System
Da Xu, Chuanwei Ruan, Evren Korpeoglu et al.