Papers
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent
Weiming Liu, Huacong Jiang, Bin Li et al.
Equivariance versus Augmentation for Spherical Images
Jan Gerken, Oscar Carlsson, Hampus Linander et al.
Equivariant Diffusion for Molecule Generation in 3D
Emiel Hoogeboom, Vı́ctor Garcia Satorras, Clément Vignac et al.
Equivariant Priors for compressed sensing with unknown orientation
Anna Kuzina, Kumar Pratik, Fabio Valerio Massoli et al.
Equivariant Quantum Graph Circuits
Peter Mernyei, Konstantinos Meichanetzidis, Ismail Ilkan Ceylan
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass
Giorgia Dellaferrera, Gabriel Kreiman
Estimating and Penalizing Induced Preference Shifts in Recommender Systems
Micah D Carroll, Anca Dragan, Stuart Russell et al.
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network
Shuo Yang, Erkun Yang, Bo Han et al.
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Fan Bao, Chongxuan Li, Jiacheng Sun et al.
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing
Ramji Venkataramanan, Kevin Kögler, Marco Mondelli
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce, Sven Gowal, Thomas Brunner et al.
Evolving Curricula with Regret-Based Environment Design
Jack Parker-Holder, Minqi Jiang, Michael Dennis et al.
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond
Sonja Kraiczy, Edith Elkind
Exact Optimal Accelerated Complexity for Fixed-Point Iterations
Jisun Park, Ernest K Ryu
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
Biao Zhang, Behrooz Ghorbani, Ankur Bapna et al.
Exploiting Independent Instruments: Identification and Distribution Generalization
Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister et al.
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
David M. Knigge, David W Romero, Erik J Bekkers
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling
Yuanbang Liang, Jing Wu, Yu-Kun Lai et al.
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control
Liang Zhang, Qiang Wu, Jun Shen et al.
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
Tom Tirer, Joan Bruna
Extracting Latent State Representations with Linear Dynamics from Rich Observations
Abraham Frandsen, Rong Ge, Holden Lee
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data
Umberto M Tomasini, Antonio Sclocchi, Matthieu Wyart
Fair and Fast k-Center Clustering for Data Summarization
Haris Angelidakis, Adam Kurpisz, Leon Sering et al.
Fair Generalized Linear Models with a Convex Penalty
Hyungrok Do, Preston Putzel, Axel S Martin et al.