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https://openreview.net/forum?id=tfGuvCp50e Expressivity of Shallow Neural Networks Over Finite Fields | OpenReview We study the expressivity of shallow polynomial neural networks (PNNs) with monomial activation functions over finite fields. For a given architecture, we... neural networks finite fields expressivity shallow openreview https://openreview.net/forum?id=rdv6yeMFpn&referrer=%5Bthe%20profile%20of%20Haggai%20Maron%5D(%2Fprofile%3Fid%3D~Haggai_Maron1) Homomorphism Expressivity of Spectral Invariant Graph Neural Networks | OpenReview Graph spectra are an important class of structural features on graphs that have shown promising results in enhancing Graph Neural Networks (GNNs). Despite... graph neural networks homomorphism expressivity spectral invariant https://openreview.net/forum?id=ytwpZDDOkb Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification |... Despite the successful application of Temporal Graph Networks (TGNs) for tasks such as dynamic node classification and link prediction, they still perform... enhancing expressivity temporal https://huggingface.co/papers/2305.02582 Paper page - On the Expressivity Role of LayerNorm in Transformers' Attention Join the discussion on this paper page on the paper expressivity https://arxiv.org/abs/2111.00876 [2111.00876] On the Expressivity of Markov Reward Abstract page for arXiv paper 2111.00876: On the Expressivity of Markov Reward on the 2111 00876 expressivity markov https://github.com/facebookresearch/shaDow_GNN GitHub - facebookresearch/shaDow_GNN: [NeurIPS 2021]: Improve the GNN expressivity and scalability... [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures -... neurips 2021 github shadow gnn https://arxiv.org/abs/1205.0627 [1205.0627] Rule-weighted and terminal-weighted context-free grammars have identical expressivity Abstract page for arXiv paper 1205.0627: Rule-weighted and terminal-weighted context-free grammars have identical expressivity context free grammars https://openreview.net/forum?id=hbtG6s6e7r Growing Tiny Networks: Spotting Expressivity Bottlenecks and Fixing Them Optimally | OpenReview Machine learning tasks are generally formulated as optimization problems, where one searches for an optimal function within a certain functional space. In... growing tiny networks spotting expressivity https://openreview.net/forum?id=awHTL3Hpto Expressivity of ReLU-Networks under Convex Relaxations | OpenReview Convex relaxations are a key component of training and certifying provably safe neural networks. However, despite substantial progress, a wide and poorly... expressivity relu networks convex relaxations https://openreview.net/forum?id=Qms9kWnbpP Expressivity of Spiking Neural Networks through the Spike Response Model | OpenReview This article studies the expressive power of spiking neural networks with firing-time-based information encoding, highlighting their potential for future... spiking neural networks spike response model through the expressivity https://arxiv.org/abs/2505.14338 [2505.14338] Better Neural Network Expressivity: Subdividing the Simplex Abstract page for arXiv paper 2505.14338: Better Neural Network Expressivity: Subdividing the Simplex neural network 2505 better expressivity subdividing https://openreview.net/forum?id=enWAn9QtYz&referrer=%5Bthe%20profile%20of%20Nils%20Morten%20Kriege%5D(%2Fprofile%3Fid%3D~Nils_Morten_Kriege1) On the Relationship Between Robustness and Expressivity of Graph Neural Networks | OpenReview We investigate the vulnerability of Graph Neural Networks (GNNs) to bit-flip attacks (BFAs) by introducing an analytical framework to study the influence of... graph neural networks on the https://openreview.net/forum?id=9DlCh34E1bN On the Expressivity of Markov Reward | OpenReview We study the expressivity of Markov reward functions in finite environments by inspecting what kinds of tasks such functions can express. on the expressivity markov reward openreview https://openreview.net/forum?id=0IJQD8zRXT Positional Attention: Expressivity and Learnability of Algorithmic Computation | OpenReview There is a growing interest in the ability of neural networks to execute algorithmic tasks (e.g., arithmetic, summary statistics, and sorting). The goal of... positional attention expressivity learnability algorithmic https://arxiv.org/abs/2505.23635 [2505.23635] Expressivity of bisimulation pseudometrics over analytic state spaces Abstract page for arXiv paper 2505.23635: Expressivity of bisimulation pseudometrics over analytic state spaces 2505 expressivity bisimulation analytic state https://pmc.ncbi.nlm.nih.gov/articles/PMC12603653/ A sensorimotor basis for facial expressivity differences in autism - PMC In autism, differences in the appearance, timing, and intensity of facial expressions are a major barrier to social communication. While disrupted sensorimotor... sensorimotor basis facial expressivity differences https://www.kth.se/sv/philhist/historia/forskning/tidigare-forskningsprojekt/cosmopolitanism-from-the-margins-mediations-of-expressivity-social-space-and-cultural-citizenship-1.504465 Cosmopolitanism from the Margins: Mediations of Expressivity, Social Space and Cultural Citizenship... from the