“Most early work on neuromorphic AI was based on spiking neural networks (SNNs) for intra-token processing, i.e., for transformations involving multiple channels, or features, of the same vector input, such as the pixels of an image.”

“Generative classifiers...can avoid this issue by modeling all features, both core and spurious, instead of mainly spurious ones.”

“The entanglement entropy naturally emerges from the normalization condition of the Husimi distribution within this framework.”

“BandiK employs a Multi-Armed Bandit (MAB) framework for each task, where the arms correspond to the performance of candidate auxiliary sets realized as multiple output neural networks over train-test data set splits.”

“DynaFix repairs 186 single-function bugs, a 10% improvement over state-of-the-art baselines, including 38 bugs previously unrepaired.”

“The paper derives closed-form BF structures and develops an efficient first-order algorithm to achieve high-quality local solutions.”

“The paper claims "significant superiority" and "faster convergence, enhanced training stability, and improved robustness to noise interference" compared to conventional optimization algorithms.”

“The paper introduces a general, model-agnostic training and inference framework for joint generative forecasting and shows how it enables assessment of forecast robustness and reliability using three complementary uncertainty quantification metrics.”

“FIGR improves the base model by 13.12% on AIME 2025 and 11.00% on BeyondAIME, highlighting the effectiveness of figure-guided multimodal reasoning in enhancing the stability and reliability of complex reasoning.”

“MedKGI improves dialogue efficiency by 30% on average while maintaining state-of-the-art accuracy.”

“GARDO's key insight is that regularization need not be applied universally; instead, it is highly effective to selectively penalize a subset of samples that exhibit high uncertainty.”

“GCA-ResUNet achieves Dice scores of 86.11% and 92.64% on Synapse and ACDC benchmarks, respectively, outperforming a range of representative CNN and Transformer-based methods.”

“CEC-Zero outperforms supervised baselines by 10--13 F$_1$ points and strong LLM fine-tunes by 5--8 points across 9 benchmarks.”

“Hojabr integrates relational algebra, tensor algebra, and constraint-based reasoning within a single higher-order algebraic framework.”

“The resulting augmented excess free-energy functional quantitatively reproduces equilibrium density profiles, coexistence curves, and surface tensions across a broad temperature range, and accurately predicts contact angles and droplet shapes far beyond the training regime.”

“The paper proposes to leverage connections between proximal operators and Hamilton-Jacobi partial differential equations (HJ PDEs) to develop novel deep learning architectures for learning the prior.”

“NestBrowse introduces a minimal and complete browser-action framework that decouples interaction control from page exploration through a nested structure.”

“PathFound integrates pathological visual foundation models, vision-language models, and reasoning models trained with reinforcement learning to perform proactive information acquisition and diagnosis refinement.”

“MoLaCE addresses confirmation bias by mixing experts instantiated as different activation strengths over latent concepts that shape model responses.”

“The paper claims that Dual-approx Bridge demonstrates consistent and superior performance in terms of image quality and faithfulness to ground truth compared to both stochastic and deterministic baselines.”

“ViLaCD-R1 substantially improves true semantic change recognition and localization, robustly suppresses non-semantic variations, and achieves state-of-the-art accuracy in complex real-world scenarios.”

“LIMO achieves superior solution quality and faster time-to-solution on instances up to 85,900 cities compared to prior hardware annealers.”

“InSPO derives a globally optimal policy conditioning on both context and alternative responses, proving superior to DPO/RLHF while guaranteeing invariance to scalarization and reference choices.”

“The paper proposes a unified pipeline for automated and scalable synthesis of simulated environments associated with high-difficulty but easily verifiable tasks; and an environment level RL algorithm that not only effectively mitigates user instability but also performs advantage estimation at the environment level, thereby improving training efficiency and stability.”

“SwinCCIR effectively overcomes problems of conventional CC imaging, which are expected to be implemented in practical applications.”

“HEROSQL achieves an average 9.40% improvement of AUPRC and 12.35% of AUROC in identifying semantic inconsistencies.”

“INTERACT-CMIL achieves consistent improvements over CNN and foundation-model (FM) baselines, with relative macro F1 gains up to 55.1% (WHO4) and 25.0% (vertical spread).”

“CLAdapter achieves state-of-the-art performance across diverse data-limited scientific domains, demonstrating its effectiveness in unleashing the potential of foundation vision models via adaptive transfer.”

“HINTS leverages the Friedkin-Johnsen (FJ) opinion dynamics model as a structural inductive bias to model evolving social influence, memory, and bias patterns.”

“The Sparse Differential Transformer (SDT) is proposed to eliminate noise and enhance the model's anti-noise capabilities.”

“The paper highlights the use of a GPU-based EDT and SMPC for high-frequency replanning and reactive manipulation.”

“TimePerceiver is a unified encoder-decoder forecasting framework that is tightly aligned with an effective training strategy.”

“SCAFusion achieves 90.93% mAP in simulated lunar environments, outperforming the baseline by 11.5%, with notable gains in detecting small meteor like obstacles.”

“The proposed method significantly outperforms the typical phase-angle formulation with a 14-times faster computation speed on average.”

“FAA consistently achieves competitive or superior performance compared to existing parameter-efficient fine-tuning methods, while maintaining low computational and memory overhead.”

“The GoT framework structures streaming predictions as an evolving graph, enabling a multimodal transformer to forecast the next speech act, generate concise justifications for its decisions, and dynamically refine its reasoning.”

“IMPACTX is an X-ray spectral model for polar dust and clumpy torus.”

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“The article's source is ArXiv.”

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“The research focuses on objective-oriented reweighting within a decentralized federated learning context.”

“The study focuses on using electromyography data to determine fingertip force.”

“The study likely employs statistical methods to compare the performance of different models, potentially including metrics like accuracy, precision, recall, and F1-score. It would also likely delve into the interpretability of the ML models, assessing how well the models' decisions can be understood and explained.”

“The context provides a general overview suggesting the article investigates deep learning for evidential classification.”

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“The article's source is ArXiv, suggesting that it's a pre-print research paper.”

“The study focuses on cross-domain generalizability, a crucial aspect for real-world medical applications.”

“N/A (This is a summary, not a direct quote)”