“DTI-GP outperforms state-of-the-art solutions, and it allows (1) the construction of a Bayesian accuracy-confidence enrichment score, (2) rejection schemes for improved enrichment, and (3) estimation and search for top-$K$ selections and ranking with high expected utility.”

“The paper's key finding is the effectiveness of the proposed framework in reducing semantic leakage to eavesdroppers without significantly degrading performance for legitimate receivers, especially through the use of adversarial perturbations.”

“The results show accurate and robust map merging with low error, and the learned features deliver strong performance in both loop closure detection and relative pose estimation.”

“Paired seed evaluation design...induces matched realisations of stochastic components and strict variance reduction whenever outcomes are positively correlated at the seed level.”

“Experimental results show that our unsupervised approach still attains 80% test accuracy, on par with several supervised deep learning-based strategies.”

“DBHP exhibits the lowest friction and largest interfacial separation, resulting from steric hindrance and tribochemical reactivity.”

“The paper likely details the specific deep learning methods used for dynamic object filtering and the performance improvements achieved.”

“The framework operates by analyzing deviations in system outputs and behaviors, which are then categorized into three groups: physical, control, and measurement contingencies.”

“The online control problem is formulated as a convex optimization problem, despite the nonlinearity of the system dynamics and the original economic cost function.”

“NODE jointly trains a neural reconstruction model and a fixed-budget set of continuous design variables... within a single optimization loop.”

“The paper emphasizes the role of language, code, motion, affordances, and 3D representations in structured and long-horizon decision making for high-level planning.”

“The proposed EG-CsiNet can robustly reduce the generalization error by more than 3 dB compared to the state-of-the-arts.”

“The IRL-based approach achieves approximately the same performance as the conventional SDRE method, demonstrating its capability as a reliable alternative for nonlinear system control that does not require an explicit environmental model.”

“The paper highlights the transition from 'solver-centric' to 'data-centric' paradigms in scheduling, emphasizing the shift towards learning from experience and adapting to dynamic environments.”

“MEGA-PCC achieves superior rate-distortion performance and runtime efficiency compared to both traditional and learning-based baselines.”

“Nightjar achieves up to 14.8% higher throughput and 20.2% lower latency compared to standard speculative decoding.”

“TDLP learns association directly from data without handcrafted rules, while remaining modular and computationally efficient compared to end-to-end trackers.”

“CONTRA improves user throughput and reduces both THO and CHO switching costs, outperforming 3GPP-compliant and Reinforcement Learning (RL) baselines in dynamic and real-world scenarios.”

“The framework employs batch sampling of measurements and gradient-based optimization to construct an optimal LHS model.”

“The improved forecast enables more accurate reserve estimation, reducing procurement costs by 5.53% in 2035 scenario compared to a well-validated numerical weather prediction model. Applying the risk-based aggregation further reduces total production costs by 7.21%.”

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“Neural scaling laws are applied to learning-based identification.”

“NeuralCrop combines physics and machine learning for improved crop yield predictions.”

“The research focuses on fault injection attacks on machine learning-based quantum computer readout error correction.”

“The paper focuses on DoA estimation via implicit spatial signal focusing and noise suppression.”

“The article focuses on improving the accuracy and interpretability of AI-based diagnosis in medical imaging.”

“The article is sourced from ArXiv.”

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“The article likely discusses the specifics of the TTD dataset, including its composition, data collection methods, and potential applications.”

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“The research focuses on deep learning-based mmWave radar sensing.”

“The research focuses on adversarial attacks against deep learning-based radio frequency fingerprint identification.”

“The article examines a 'data-driven optimal control approach'.”

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“In the talk, Shayan proposes a novel deep learning-based approach for prognosis prediction of oil and gas plant equipment in an effort to prevent critical damage or failure.”

“Building websites from Sketch using deep learning – public launch”

“The article likely details how machine learning models are trained on datasets of CRISPR/Cas9 experiments to predict guide efficiency and specificity.”

“Solmaz gave a great talk at the GPPC focused on her team’s experiences applying machine learning to fight fraud and improve merchant satisfaction.”