Paper List

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Summary of Robust Vaes Via Generating Process Of Noise Augmented Data, by Hiroo Irobe et al.
Summary of Aspects Of Importance Sampling in Parameter Selection For Neural Networks Using Ridgelet Transform, by Hikaru Homma and Jun Ohkubo
Summary of A Dual Ensemble Classifier Used to Recognise Contaminated Multi-channel Emg and Mmg Signals in the Control Of Upper Limb Bioprosthesis, by Pawel Trajdos et al.
Summary of Gaussian Process Kolmogorov-arnold Networks, by Andrew Siyuan Chen
Summary of Recovar: Representation Covariances on Deep Latent Spaces For Seismic Event Detection, by Onur Efe et al.
Summary of Large Language Model Integrated Healthcare Cyber-physical Systems Architecture, by Malithi Wanniarachchi Kankanamge et al.
Summary of Adversarially Robust Decision Transformer, by Xiaohang Tang et al.
Summary of Self-directed Synthetic Dialogues and Revisions Technical Report, by Nathan Lambert et al.
Summary of Personagym: Evaluating Persona Agents and Llms, by Vinay Samuel et al.
Summary of A Hypothesis on Black Swan in Unchanging Environments, by Hyunin Lee et al.
Summary of Hdl-gpt: High-quality Hdl Is All You Need, by Bhuvnesh Kumar et al.
Summary of Weighted Risk Invariance: Domain Generalization Under Invariant Feature Shift, by Gina Wong et al.
Summary of Investigating the Privacy Risk Of Using Robot Vacuum Cleaners in Smart Environments, by Benjamin Ulsmaag and Jia-chun Lin and Ming-chang Lee
Summary of A Model For Combinatorial Dictionary Learning and Inference, by Avrim Blum et al.
Summary of Impact Of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection, by Ming-chang Lee and Jia-chun Lin and Sokratis Katsikas
Summary of Textile Anomaly Detection: Evaluation Of the State-of-the-art For Automated Quality Inspection Of Carpet, by Briony Forsberg et al.
Summary of Fairness Definitions in Language Models Explained, by Thang Viet Doan et al.
Summary of Machine Unlearning Using a Multi-gan Based Model, by Amartya Hatua et al.
Summary of Mistralbsm: Leveraging Mistral-7b For Vehicular Networks Misbehavior Detection, by Wissal Hamhoum et al.
Summary of Diffusion-driven Semantic Communication For Generative Models with Bandwidth Constraints, by Lei Guo et al.
Summary of Constructing the Cord-19 Vaccine Dataset, by Manisha Singh et al.
Summary of Scalable Graph Compressed Convolutions, by Junshu Sun et al.
Summary of Practical Attribution Guidance For Rashomon Sets, by Sichao Li et al.
Summary of Geometry Fidelity For Spherical Images, by Anders Christensen et al.
Summary of Gene Regulatory Network Inference From Pre-trained Single-cell Transcriptomics Transformer with Joint Graph Learning, by Sindhura Kommu et al.
Summary of Asep: Benchmarking Deep Learning Methods For Antibody-specific Epitope Prediction, by Chunan Liu et al.
Summary of Scaling Trends in Language Model Robustness, by Nikolaus Howe et al.
Summary of Recursive Introspection: Teaching Language Model Agents How to Self-improve, by Yuxiao Qu et al.
Summary of Automated Ensemble Multimodal Machine Learning For Healthcare, by Fergus Imrie et al.
Summary of Numerical Literals in Link Prediction: a Critical Examination Of Models and Datasets, by Moritz Blum et al.
Summary of Lora-pro: Are Low-rank Adapters Properly Optimized?, by Zhengbo Wang et al.
Summary of Sparse Vs Contiguous Adversarial Pixel Perturbations in Multimodal Models: An Empirical Analysis, by Cristian-alexandru Botocan et al.
Summary of Vggheads: 3d Multi Head Alignment with a Large-scale Synthetic Dataset, by Orest Kupyn et al.
Summary of Physics-guided Machine Learning Predicts the Planet-scale Performance Of Solar Farms with Sparse, Heterogeneous, Public Data, by Jabir Bin Jahangir et al.
Summary of Estimating the Number Of Clusters Of a Block Markov Chain, by Thomas Van Vuren et al.
Summary of The Need For Guardrails with Large Language Models in Medical Safety-critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem, by Joe B Hakim et al.
Summary of Ama-lstm: Pioneering Robust and Fair Financial Audio Analysis For Stock Volatility Prediction, by Shengkun Wang et al.
Summary of Cavdetect: a Dbscan Algorithm Based Novel Cavity Detection Model on Protein Structure, by Swati Adhikari (1) et al.
Summary of Generative Ai Like Chatgpt in Blockchain Federated Learning: Use Cases, Opportunities and Future, by Sai Puppala et al.
Summary of Fadas: Towards Federated Adaptive Asynchronous Optimization, by Yujia Wang et al.
Summary of Trust or Escalate: Llm Judges with Provable Guarantees For Human Agreement, by Jaehun Jung et al.
Summary of Physics Informed Kolmogorov-arnold Neural Networks For Dynamical Analysis Via Efficent-kan and Wav-kan, by Subhajit Patra et al.
Summary of Mathematical Theory Of Deep Learning, by Philipp Petersen and Jakob Zech
Summary of Amortized Active Learning For Nonparametric Functions, by Cen-you Li et al.
Summary of Lightweight Industrial Cohorted Federated Learning For Heterogeneous Assets, by Madapu Amarlingam et al.
Summary of Hanna: Hard-constraint Neural Network For Consistent Activity Coefficient Prediction, by Thomas Specht et al.
Summary of Network Inversion Of Convolutional Neural Nets, by Pirzada Suhail and Amit Sethi
Summary of Self-supervision Improves Diffusion Models For Tabular Data Imputation, by Yixin Liu et al.
Summary of Ecg Arrhythmia Detection Using Disease-specific Attention-based Deep Learning Model, by Linpeng Jin
Summary of Peak-controlled Logits Poisoning Attack in Federated Distillation, by Yuhan Tang et al.
Summary of How to Train the Teacher Model For Effective Knowledge Distillation, by Shayan Mohajer Hamidi et al.
Summary of Lifelong Graph Learning For Graph Summarization, by Jonatan Frank et al.
Summary of The Geometry Of Queries: Query-based Innovations in Retrieval-augmented Generation, by Eric Yang et al.
Summary of Multi-agent Deep Reinforcement Learning For Resilience Optimization in 5g Ran, by Soumeya Kaada et al.
Summary of Cross-vendor Reproducibility Of Radiomics-based Machine Learning Models For Computer-aided Diagnosis, by Jatin Chaudhary et al.
Summary of Hvm-1: Large-scale Video Models Pretrained with Nearly 5000 Hours Of Human-like Video Data, by A. Emin Orhan
Summary of Graph Neural Ordinary Differential Equations For Coarse-grained Socioeconomic Dynamics, by James Koch et al.
Summary of Unsupervised Training Of Neural Cellular Automata on Edge Devices, by John Kalkhof et al.
Summary of Maximum Entropy On-policy Actor-critic Via Entropy Advantage Estimation, by Jean Seong Bjorn Choe and Jong-kook Kim
Summary of Unlocking Tokens As Data Points For Generalization Bounds on Larger Language Models, by Sanae Lotfi et al.
Summary of Rida: a Robust Attack Framework on Incomplete Graphs, by Jianke Yu et al.
Summary of Quasar-vit: Hardware-oriented Quantization-aware Architecture Search For Vision Transformers, by Zhengang Li et al.
Summary of Relating the Seemingly Unrelated: Principled Understanding Of Generalization For Generative Models in Arithmetic Reasoning Tasks, by Xingcheng Xu et al.
Summary of Advanced Deep-reinforcement-learning Methods For Flow Control: Group-invariant and Positional-encoding Networks Improve Learning Speed and Quality, by Joongoo Jeon et al.
Summary of Isumap: Manifold Learning and Data Visualization Leveraging Vietoris-rips Filtrations, by Lukas Silvester Barth et al.
Summary of Unified Lexical Representation For Interpretable Visual-language Alignment, by Yifan Li et al.
Summary of Long-term Fairness in Ride-hailing Platform, by Yufan Kang et al.
Summary of On the Opportunities Of (re)-exploring Atmospheric Science by Foundation Models: a Case Study, By Lujia Zhang et al.
Summary of Mds-ed: Multimodal Decision Support in the Emergency Department — a Benchmark Dataset For Diagnoses and Deterioration Prediction in Emergency Medicine, by Juan Miguel Lopez Alcaraz et al.
Summary of Ellipbench: a Large-scale Benchmark For Machine-learning Based Ellipsometry Modeling, by Yiming Ma et al.
Summary of Dam: Towards a Foundation Model For Time Series Forecasting, by Luke Darlow et al.
Summary of A Large-scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions For Text Spatializations, by Daniel Atzberger et al.
Summary of The Power Of Combining Data and Knowledge: Gpt-4o Is An Effective Interpreter Of Machine Learning Models in Predicting Lymph Node Metastasis Of Lung Cancer, by Danqing Hu et al.
Summary of An Iterative Approach to Topic Modelling, by Albert Wong et al.
Summary of Amortized Posterior Sampling with Diffusion Prior Distillation, by Abbas Mammadov et al.
Summary of Causal Deepsets For Off-policy Evaluation Under Spatial or Spatio-temporal Interferences, by Runpeng Dai et al.
Summary of Separating Novel Features For Logical Anomaly Detection: a Straightforward Yet Effective Approach, by Kangil Lee et al.
Summary of Guided Latent Slot Diffusion For Object-centric Learning, by Krishnakant Singh et al.
Summary of Comparison Of Different Artificial Neural Networks For Bitcoin Price Forecasting, by Silas Baumann et al.
Summary of Fast Convergence Of the Expectation Maximization Algorithm Under a Logarithmic Sobolev Inequality, by Rocco Caprio et al.
Summary of Scaling Training Data with Lossy Image Compression, by Katherine L. Mentzer and Andrea Montanari
Summary of Real Time American Sign Language Detection Using Yolo-v9, by Amna Imran et al.
Summary of Neural Networks For Generating Better Local Optima in Topology Optimization, by Leon Herrmann et al.
Summary of Hopfield Networks For Asset Allocation, by Carlo Nicolini et al.
Summary of Generative Learning For Simulation Of Vehicle Faults, by Patrick Kuiper et al.
Summary of Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs, by Maryam Abbasihafshejani et al.
Summary of Struc2mapgan: Improving Synthetic Cryo-em Density Maps with Generative Adversarial Networks, by Chenwei Zhang et al.
Summary of Unsqueeze [cls] Bottleneck to Learn Rich Representations, by Qing Su et al.
Summary of Transformers on Markov Data: Constant Depth Suffices, by Nived Rajaraman et al.
Summary of Context-aware Knowledge Graph Framework For Traffic Speed Forecasting Using Graph Neural Network, by Yatao Zhang et al.
Summary of A Two-stage Imaging Framework Combining Cnn and Physics-informed Neural Networks For Full-inverse Tomography: a Case Study in Electrical Impedance Tomography (eit), by Xuanxuan Yang (1 and 2) et al.
Summary of Revisiting Machine Unlearning with Dimensional Alignment, by Seonguk Seo et al.
Summary of Multi-modal Data Binding For Survival Analysis Modeling with Incomplete Data and Annotations, by Linhao Qu et al.
Summary of Your Graph Recommender Is Provably a Single-view Graph Contrastive Learning, by Wenjie Yang et al.
Summary of Dualfed: Enjoying Both Generalization and Personalization in Federated Learning Via Hierachical Representations, by Guogang Zhu et al.
Summary of Kiva: Kid-inspired Visual Analogies For Testing Large Multimodal Models, by Eunice Yiu et al.
Summary of Advancing Multi-modal Sensing Through Expandable Modality Alignment, by Shenghong Dai et al.
Summary of Ensemble Data Assimilation to Diagnose Ai-based Weather Prediction Model: a Case with Climax Version 0.3.1, by Shunji Kotsuki et al.
Summary of Enhancing Diversity in Multi-objective Feature Selection, by Sevil Zanjani Miyandoab et al.
Summary of Exploring the Limitations Of Kolmogorov-arnold Networks in Classification: Insights to Software Training and Hardware Implementation, by Van Duy Tran et al.