Paper List

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Summary of From Fourier to Neural Odes: Flow Matching For Modeling Complex Systems, by Xin Li et al.
Summary of Certified Robust Accuracy Of Neural Networks Are Bounded Due to Bayes Errors, by Ruihan Zhang and Jun Sun
Summary of Adaptive Online Experimental Design For Causal Discovery, by Muhammad Qasim Elahi et al.
Summary of Uncertainty-aware Ppg-2-ecg For Enhanced Cardiovascular Diagnosis Using Diffusion Models, by Omer Belhasin et al.
Summary of Cross-language Assessment Of Mathematical Capability Of Chatgpt, by Gargi Sathe et al.
Summary of Predicting and Explaining Hearing Aid Usage Using Encoder-decoder with Attention Mechanism and Shap, by Qiqi Su and Eleftheria Iliadou
Summary of Joint Analysis Of Single-cell Data Across Cohorts with Missing Modalities, by Marianne Arriola et al.
Summary of A Dual Power Grid Cascading Failure Model For the Vulnerability Analysis, by Tianxin Zhou et al.
Summary of Action Controlled Paraphrasing, by Ning Shi et al.
Summary of Smooth Kolmogorov Arnold Networks Enabling Structural Knowledge Representation, by Moein E. Samadi et al.
Summary of Sampling Strategies For Mitigating Bias in Face Synthesis Methods, by Emmanouil Maragkoudakis et al.
Summary of Generalized Multi-objective Reinforcement Learning with Envelope Updates in Urllc-enabled Vehicular Networks, by Zijiang Yan et al.
Summary of On the Trajectory Regularity Of Ode-based Diffusion Sampling, by Defang Chen et al.
Summary of Ginar: An End-to-end Multivariate Time Series Forecasting Model Suitable For Variable Missing, by Chengqing Yu et al.
Summary of Lipost: Improved Content Understanding with Effective Use Of Multi-task Contrastive Learning, by Akanksha Bindal et al.
Summary of Unlock the Power Of Algorithm Features: a Generalization Analysis For Algorithm Selection, by Xingyu Wu et al.
Summary of Remodels: Quantile Regression Averaging Models, by Grzegorz Zakrzewski et al.
Summary of Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model, by Chenyin Gao et al.
Summary of Investigating Kan-based Physics-informed Neural Networks For Emi/emc Simulations, by Kun Qian and Mohamed Kheir
Summary of Adjacent Leader Decentralized Stochastic Gradient Descent, by Haoze He et al.
Summary of Preparing For Black Swans: the Antifragility Imperative For Machine Learning, by Ming Jin
Summary of Can Public Llms Be Used For Self-diagnosis Of Medical Conditions ?, by Nikil Sharan Prabahar Balasubramanian et al.
Summary of Discrete-state Continuous-time Diffusion For Graph Generation, by Zhe Xu et al.
Summary of Budgeted Recommendation with Delayed Feedback, by Kweiguu Liu and Setareh Maghsudi
Summary of Safety in Graph Machine Learning: Threats and Safeguards, by Song Wang et al.
Summary of Prompt Exploration with Prompt Regression, by Michael Feffer et al.
Summary of Jill Watson: a Virtual Teaching Assistant Powered by Chatgpt, By Karan Taneja and Pratyusha Maiti and Sandeep Kakar and Pranav Guruprasad and Sanjeev Rao and Ashok K. Goel
Summary of Flattened One-bit Stochastic Gradient Descent: Compressed Distributed Optimization with Controlled Variance, by Alexander Stollenwerk and Laurent Jacques
Summary of Dynamic Embeddings with Task-oriented Prompting, by Allmin Balloccu et al.
Summary of Latent State Estimation Helps Ui Agents to Reason, by William E Bishop et al.
Summary of Adawavenet: Adaptive Wavelet Network For Time Series Analysis, by Han Yu et al.
Summary of Flexible Motion In-betweening with Diffusion Models, by Setareh Cohan et al.
Summary of Openrlhf: An Easy-to-use, Scalable and High-performance Rlhf Framework, by Jian Hu et al.
Summary of Graph Feedback Bandits with Similar Arms, by Han Qi et al.
Summary of Towards Modular Llms by Building and Reusing a Library Of Loras, By Oleksiy Ostapenko et al.
Summary of Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models, by Sohail Reddy et al.
Summary of Wind Power Prediction Across Different Locations Using Deep Domain Adaptive Learning, by Md Saiful Islam Sajol et al.
Summary of Trustworthy Actionable Perturbations, by Jesse Friedbaum et al.
Summary of Learning From Imperfect Human Feedback: a Tale From Corruption-robust Dueling, by Yuwei Cheng et al.
Summary of Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses, by Thanh Nguyen et al.
Summary of The Power Of Active Multi-task Learning in Reinforcement Learning From Human Feedback, by Ruitao Chen et al.
Summary of Otlp: Output Thresholding Using Mixed Integer Linear Programming, by Baran Koseoglu et al.
Summary of Simad: a Simple Dissimilarity-based Approach For Time Series Anomaly Detection, by Zhijie Zhong et al.
Summary of Wispermed at “discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on Mimic-iv, by Hendrik Damm et al.
Summary of Submodular Information Selection For Hypothesis Testing with Misclassification Penalties, by Jayanth Bhargav et al.
Summary of The Local Interaction Basis: Identifying Computationally-relevant and Sparsely Interacting Features in Neural Networks, by Lucius Bushnaq et al.
Summary of Observational Scaling Laws and the Predictability Of Language Model Performance, by Yangjun Ruan et al.
Summary of Dino As a Von Mises-fisher Mixture Model, by Hariprasath Govindarajan et al.
Summary of Untargeted Adversarial Attack on Knowledge Graph Embeddings, by Tianzhe Zhao et al.
Summary of Block Selective Reprogramming For On-device Training Of Vision Transformers, by Sreetama Sarkar et al.
Summary of On Constructing Algorithm Portfolios in Algorithm Selection For Computationally Expensive Black-box Optimization in the Fixed-budget Setting, by Takushi Yoshikawa and Ryoji Tanabe
Summary of Manifold-based Incomplete Multi-view Clustering Via Bi-consistency Guidance, by Huibing Wang et al.
Summary of Learnable Privacy Neurons Localization in Language Models, by Ruizhe Chen et al.
Summary of Flow Score Distillation For Diverse Text-to-3d Generation, by Runjie Yan et al.
Summary of Relative Counterfactual Contrastive Learning For Mitigating Pretrained Stance Bias in Stance Detection, by Jiarui Zhang and Shaojuan Wu and Xiaowang Zhang and Zhiyong Feng
Summary of Higher-order Spatio-temporal Physics-incorporated Graph Neural Network For Multivariate Time Series Imputation, by Guojun Liang et al.
Summary of Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System, By Chen Chen et al.
Summary of Large Language Models For Tuning Evolution Strategies, by Oliver Kramer
Summary of Large Language Models in Wireless Application Design: In-context Learning-enhanced Automatic Network Intrusion Detection, by Han Zhang et al.
Summary of Generative Modeling Of Sparse Approximate Inverse Preconditioners, by Mou Li et al.
Summary of A Systematic Review on Sleep Stage Classification and Sleep Disorder Detection Using Artificial Intelligence, by Tayab Uddin Wara et al.
Summary of Arddqn: Attention Recurrent Double Deep Q-network For Uav Coverage Path Planning and Data Harvesting, by Praveen Kumar et al.
Summary of Grass: Combining Graph Neural Networks with Expert Knowledge For Sat Solver Selection, by Zhanguang Zhang et al.
Summary of Generative Artificial Intelligence: a Systematic Review and Applications, by Sandeep Singh Sengar et al.
Summary of Harnessing Collective Structure Knowledge in Data Augmentation For Graph Neural Networks, by Rongrong Ma et al.
Summary of Sample-efficient Constrained Reinforcement Learning with General Parameterization, by Washim Uddin Mondal et al.
Summary of Historically Relevant Event Structuring For Temporal Knowledge Graph Reasoning, by Jinchuan Zhang and Bei Hui and Chong Mu and Ming Sun and Ling Tian
Summary of Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning, by Haoyue Song et al.
Summary of Hi-gmae: Hierarchical Graph Masked Autoencoders, by Chuang Liu et al.
Summary of Cost-effective Fault Tolerance For Cnns Using Parameter Vulnerability Based Hardening and Pruning, by Mohammad Hasan Ahmadilivani et al.
Summary of Off-the-shelf Neural Network Architectures For Forex Time Series Prediction Come at a Cost, by Theodoros Zafeiriou et al.
Summary of Empowering Small-scale Knowledge Graphs: a Strategy Of Leveraging General-purpose Knowledge Graphs For Enriched Embeddings, by Albert Sawczyn et al.
Summary of Rethinking Graph Backdoor Attacks: a Distribution-preserving Perspective, by Zhiwei Zhang and Minhua Lin and Enyan Dai and Suhang Wang
Summary of Reduced Storage Direct Tensor Ring Decomposition For Convolutional Neural Networks Compression, by Mateusz Gabor et al.
Summary of Heterogeneity-informed Meta-parameter Learning For Spatiotemporal Time Series Forecasting, by Zheng Dong et al.
Summary of Generative Modeling Through Internal High-dimensional Chaotic Activity, by Samantha J. Fournier et al.
Summary of Restless Linear Bandits, by Azadeh Khaleghi
Summary of Kernelshap-iq: Weighted Least-square Optimization For Shapley Interactions, by Fabian Fumagalli et al.
Summary of The Future Of Large Language Model Pre-training Is Federated, by Lorenzo Sani et al.
Summary of Improving Face Generation Quality and Prompt Following with Synthetic Captions, by Michail Tarasiou et al.
Summary of Weits: a Wavelet-enhanced Residual Framework For Interpretable Time Series Forecasting, by Ziyou Guo et al.
Summary of A Framework For Leveraging Partially-labeled Data For Product Attribute-value Identification, by D. Subhalingam et al.
Summary of Boosting Few-pixel Robustness Verification Via Covering Verification Designs, by Yuval Shapira et al.
Summary of Using Degeneracy in the Loss Landscape For Mechanistic Interpretability, by Lucius Bushnaq et al.
Summary of Data Selection For Transfer Unlearning, by Nazanin Mohammadi Sepahvand et al.
Summary of Memory-efficient Energy-adaptive Inference Of Pre-trained Models on Batteryless Embedded Systems, by Pietro Farina et al.
Summary of Simultaneous Masking, Not Prompting Optimization: a Paradigm Shift in Fine-tuning Llms For Simultaneous Translation, by Matthew Raffel et al.
Summary of Exploring Public Attention in the Circular Economy Through Topic Modelling with Twin Hyperparameter Optimisation, by Junhao Song et al.
Summary of Simulation-based Benchmarking Of Reinforcement Learning Agents For Personalized Retail Promotions, by Yu Xia et al.
Summary of Multi-evidence Based Fact Verification Via a Confidential Graph Neural Network, by Yuqing Lan et al.
Summary of Automatic News Generation and Fact-checking System Based on Language Processing, by Xirui Peng and Qiming Xu and Zheng Feng and Haopeng Zhao and Lianghao Tan and Yan Zhou and Zecheng Zhang and Chenwei Gong and Yingqiao Zheng
Summary of Federated Learning with Energy Harvesting Devices: An Mdp Framework, by Kai Zhang et al.
Summary of Improved Adaboost For Virtual Reality Experience Prediction Based on Long Short-term Memory Network, by Wenhan Fan et al.
Summary of Nonparametric Teaching Of Implicit Neural Representations, by Chen Zhang et al.
Summary of Time-varying Constraint-aware Reinforcement Learning For Energy Storage Control, by Jaeik Jeong et al.
Summary of Data Science Principles For Interpretable and Explainable Ai, by Kris Sankaran
Summary of Function Extrapolation with Neural Networks and Its Application For Manifolds, by Guy Hay et al.
Summary of Future Aware Safe Active Learning Of Time Varying Systems Using Gaussian Processes, by Markus Lange-hegermann and Christoph Zimmer
Summary of A Hybrid Deep Learning Framework For Stock Price Prediction Considering the Investor Sentiment Of Online Forum Enhanced by Popularity, By Huiyu Li and Junhua Hu
Summary of Unicl: a Universal Contrastive Learning Framework For Large Time Series Models, by Jiawei Li et al.