Paper List

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Summary of Latent Neural Operator Pretraining For Solving Time-dependent Pdes, by Tian Wang and Chuang Wang
Summary of Fedssp: Federated Graph Learning with Spectral Knowledge and Personalized Preference, by Zihan Tan et al.
Summary of Emergence Of Globally Attracting Fixed Points in Deep Neural Networks with Nonlinear Activations, by Amir Joudaki et al.
Summary of Provably Adaptive Average Reward Reinforcement Learning For Metric Spaces, by Avik Kar et al.
Summary of Reinforcement Learning For Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting, by Mohamed Salim Aissi et al.
Summary of Disentangling Genotype and Environment Specific Latent Features For Improved Trait Prediction Using a Compositional Autoencoder, by Anirudha Powadi et al.
Summary of Language Agents Meet Causality — Bridging Llms and Causal World Models, by John Gkountouras et al.
Summary of Prediction Of Final Phosphorus Content Of Steel in a Scrap-based Electric Arc Furnace Using Artificial Neural Networks, by Riadh Azzaz et al.
Summary of Provable Optimal Transport with Transformers: the Essence Of Depth and Prompt Engineering, by Hadi Daneshmand
Summary of Enhancing Safety in Reinforcement Learning with Human Feedback Via Rectified Policy Optimization, by Xiyue Peng et al.
Summary of Improving Multimodal Large Language Models Using Continual Learning, by Shikhar Srivastava et al.
Summary of Privacy Without Noisy Gradients: Slicing Mechanism For Generative Model Training, by Kristjan Greenewald et al.
Summary of Statistical Inference in Classification Of High-dimensional Gaussian Mixture, by Hanwen Huang and Peng Zeng
Summary of Dualmar: Medical-augmented Representation From Dual-expertise Perspectives, by Pengfei Hu et al.
Summary of Understanding Adam Requires Better Rotation Dependent Assumptions, by Lucas Maes et al.
Summary of Global Graph Counterfactual Explanation: a Subgraph Mapping Approach, by Yinhan He et al.
Summary of Evaluating Cost-accuracy Trade-offs in Multimodal Search Relevance Judgements, by Silvia Terragni et al.
Summary of Random Policy Enables In-context Reinforcement Learning Within Trust Horizons, by Weiqin Chen et al.
Summary of Resolving Domain Shift For Representations Of Speech in Non-invasive Brain Recordings, by Jeremiah Ridge and Oiwi Parker Jones
Summary of Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-series Forecasting, by Manuel Sage and Joshua Campbell and Yaoyao Fiona Zhao
Summary of Residual Random Neural Networks, by M. Andrecut
Summary of Layer by Layer: Uncovering Where Multi-task Learning Happens in Instruction-tuned Large Language Models, By Zheng Zhao et al.
Summary of Off-policy Selection For Initiating Human-centric Experimental Design, by Ge Gao et al.
Summary of Deep Learning and Machine Learning — Python Data Structures and Mathematics Fundamental: From Theory to Practice, by Silin Chen and Ziqian Bi and Junyu Liu and Benji Peng and Sen Zhang and Xuanhe Pan and Jiawei Xu and Jinlang Wang and Keyu Chen and Caitlyn Heqi Yin and Pohsun Feng and Yizhu Wen and Tianyang Wang and Ming Li and Jintao Ren and Qian Niu and Ming Liu
Summary of Survival Of the Fittest: Evolutionary Adaptation Of Policies For Environmental Shifts, by Sheryl Paul and Jyotirmoy V. Deshmukh
Summary of Gnnrl-smoothing: a Prior-free Reinforcement Learning Model For Mesh Smoothing, by Zhichao Wang et al.
Summary of Prototype-based Methods in Explainable Ai and Emerging Opportunities in the Geosciences, by Anushka Narayanan et al.
Summary of Aepl: Automated and Editable Prompt Learning For Brain Tumor Segmentation, by Yongheng Sun et al.
Summary of Enhancing Deep Learning Based Rmt Data Inversion Using Gaussian Random Field, by Koustav Ghosal et al.
Summary of Evaluating Deep Learning Approaches For Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models, by Jared D. Willard et al.
Summary of Simultaneous Dimensionality Reduction For Extracting Useful Representations Of Large Empirical Multimodal Datasets, by Eslam Abdelaleem
Summary of Breaking the Illusion: Real-world Challenges For Adversarial Patches in Object Detection, by Jakob Shack et al.
Summary of Hypergraph Neural Networks Reveal Spatial Domains From Single-cell Transcriptomics Data, by Mehrad Soltani and Luis Rueda
Summary of Causal Order Discovery Based on Monotonic Scms, by Ali Izadi et al.
Summary of Parameter-efficient Fine-tuning in Large Models: a Survey Of Methodologies, by Luping Wang et al.
Summary of Critical Biblical Studies Via Word Frequency Analysis: Unveiling Text Authorship, by Shira Faigenbaum-golovin et al.
Summary of Recommendations For Comprehensive and Independent Evaluation Of Machine Learning-based Earth System Models, by Paul A. Ullrich et al.
Summary of Energyplus Room Simulator, by Manuel Weber et al.
Summary of Tbbc: Predict True Bacteraemia in Blood Cultures Via Deep Learning, by Kira Sam
Summary of Ensembling Finetuned Language Models For Text Classification, by Sebastian Pineda Arango et al.
Summary of Air Quality Prediction with Physics-informed Dual Neural Odes in Open Systems, by Jindong Tian et al.
Summary of A Review Of Deep Learning Approaches For Non-invasive Cognitive Impairment Detection, by Muath Alsuhaibani et al.
Summary of Simmering: Sufficient Is Better Than Optimal For Training Neural Networks, by Irina Babayan et al.
Summary of Sparse Decomposition Of Graph Neural Networks, by Yaochen Hu et al.
Summary of Adversarial Environment Design Via Regret-guided Diffusion Models, by Hojun Chung et al.
Summary of Fishnet: Financial Intelligence From Sub-querying, Harmonizing, Neural-conditioning, Expert Swarms, and Task Planning, by Nicole Cho et al.
Summary of On the Benefits Of Active Data Collection in Operator Learning, by Unique Subedi et al.
Summary of Adaptive Real-time Multi-loss Function Optimization Using Dynamic Memory Fusion Framework: a Case Study on Breast Cancer Segmentation, by Amin Golnari and Mostafa Diba
Summary of A New Perspective to Boost Performance Fairness For Medical Federated Learning, by Yunlu Yan et al.
Summary of Large Model For Small Data: Foundation Model For Cross-modal Rf Human Activity Recognition, by Yuxuan Weng et al.
Summary of Statistical Test For Auto Feature Engineering by Selective Inference, By Tatsuya Matsukawa et al.
Summary of Copula-linked Parallel Ica: a Method For Coupling Structural and Functional Mri Brain Networks, by Oktay Agcaoglu et al.
Summary of Deep Learning-driven Mobile Traffic Measurement Collection and Analysis, by Yini Fang
Summary of Sampling From Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics, by Daniel Paulin et al.
Summary of Data-driven Uncertainty-aware Forecasting Of Sea Ice Conditions in the Gulf Of Ob Based on Satellite Radar Imagery, by Stefan Maria Ailuro et al.
Summary of Enhancing Apple’s Defect Classification: Insights From Visible Spectrum and Narrow Spectral Band Imaging, by Omar Coello et al.
Summary of Leveraging Multi-temporal Sentinel 1 and 2 Satellite Data For Leaf Area Index Estimation with Deep Learning, by Clement Wang et al.
Summary of Xeno-learning: Knowledge Transfer Across Species in Deep Learning-based Spectral Image Analysis, by Jan Sellner et al.
Summary of Diffgan: a Test Generation Approach For Differential Testing Of Deep Neural Networks, by Zohreh Aghababaeyan et al.
Summary of Feature Clipping For Uncertainty Calibration, by Linwei Tao et al.
Summary of Comparing Surface Landmine Object Detection Models on a New Drone Flyby Dataset, by Navin Agrawal-chung and Zohran Moin
Summary of Novel Development Of Llm Driven Mcode Data Model For Improved Clinical Trial Matching to Enable Standardization and Interoperability in Oncology Research, by Aarsh Shekhar and Mincheol Kim
Summary of Multidimensional Knowledge Graph Embeddings For International Trade Flow Analysis, by Durgesh Nandini et al.
Summary of Graph Linearization Methods For Reasoning on Graphs with Large Language Models, by Christos Xypolopoulos et al.
Summary of Marked Temporal Bayesian Flow Point Processes, by Hui Chen et al.
Summary of Detection Of Human and Machine-authored Fake News in Urdu, by Muhammad Zain Ali et al.
Summary of Utilizing Image Transforms and Diffusion Models For Generative Modeling Of Short and Long Time Series, by Ilan Naiman et al.
Summary of Agentforge: a Flexible Low-code Platform For Reinforcement Learning Agent Design, by Francisco Erivaldo Fernandes Junior et al.
Summary of Connecting Joint-embedding Predictive Architecture with Contrastive Self-supervised Learning, by Shentong Mo et al.
Summary of Privacy-preserving Federated Learning Via Dataset Distillation, by Shimao Xu et al.
Summary of Neuromorphic Iot Architecture For Efficient Water Management: a Smart Village Case Study, by Mugdim Bublin et al.
Summary of Considerations For Distribution Shift Robustness Of Diagnostic Models in Healthcare, by Arno Blaas et al.
Summary of Analyzing Neural Network Robustness Using Graph Curvature, by Shuhang Tan et al.
Summary of Deep Learning-based Identification Of Patients at Increased Risk Of Cancer Using Routine Laboratory Markers, by Vivek Singh et al.
Summary of Efficient Biological Data Acquisition Through Inference Set Design, by Ihor Neporozhnii et al.
Summary of Conformal Prediction For Multimodal Regression, by Alexis Bose et al.
Summary of Metatrading: An Immersion-aware Model Trading Framework For Vehicular Metaverse Services, by Hongjia Wu et al.
Summary of Spatial Shortcuts in Graph Neural Controlled Differential Equations, by Michael Detzel et al.
Summary of Less Is More: Extreme Gradient Boost Rank-1 Adaption For Efficient Finetuning Of Llms, by Yifei Zhang et al.
Summary of Learning the Regularization Strength For Deep Fine-tuning Via a Data-emphasized Variational Objective, by Ethan Harvey et al.
Summary of Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks, by Yinglun Xu et al.
Summary of Water and Electricity Consumption Forecasting at An Educational Institution Using Machine Learning Models with Metaheuristic Optimization, by Eduardo Luiz Alba et al.
Summary of Super Gradient Descent: Global Optimization Requires Global Gradient, by Seifeddine Achour
Summary of Toward Finding Strong Pareto Optimal Policies in Multi-agent Reinforcement Learning, by Bang Giang Le and Viet Cuong Ta
Summary of Unified Cross-modal Image Synthesis with Hierarchical Mixture Of Product-of-experts, by Reuben Dorent et al.
Summary of Noise-aware Differentially Private Variational Inference, by Talal Alrawajfeh et al.
Summary of Multi-agent Reinforcement Learning with Selective State-space Models, by Jemma Daniel et al.
Summary of Analysis Of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms, by Haowei Yang et al.
Summary of Offline Reinforcement Learning with Ood State Correction and Ood Action Suppression, by Yixiu Mao et al.
Summary of An Auditing Test to Detect Behavioral Shift in Language Models, by Leo Richter et al.
Summary of Robust Time Series Causal Discovery For Agent-based Model Validation, by Gene Yu et al.
Summary of Generative Diffusion Models For Sequential Recommendations, by Sharare Zolghadr et al.
Summary of Analyzing Generative Models by Manifold Entropic Metrics, By Daniel Galperin et al.
Summary of Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment, by Syed Sameen Ahmad Rizvi et al.
Summary of Gradient Descent Efficiency Index, by Aviral Dhingra
Summary of Computational Bottlenecks Of Training Small-scale Large Language Models, by Saleh Ashkboos et al.
Summary of Accelerating Ai Performance Using Anderson Extrapolation on Gpus, by Saleem Abdul Fattah Ahmed Al Dajani et al.
Summary of Learned Reference-based Diffusion Sampling For Multi-modal Distributions, by Maxence Noble et al.
Summary of Local: Learning with Orientation Matrix to Infer Causal Structure From Time Series Data, by Jiajun Zhang et al.
Summary of Improving Inverse Folding For Peptide Design with Diversity-regularized Direct Preference Optimization, by Ryan Park et al.