Paper List

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Summary of Rissole: Parameter-efficient Diffusion Models Via Block-wise Generation and Retrieval-guidance, by Avideep Mukherjee et al.
Summary of Controllable Edge-type-specific Interpretation in Multi-relational Graph Neural Networks For Drug Response Prediction, by Xiaodi Li et al.
Summary of Flow Matching For Optimal Reaction Coordinates Of Biomolecular System, by Mingyuan Zhang et al.
Summary of Enhanced Forecasting Of Stock Prices Based on Variational Mode Decomposition, Patchtst, and Adaptive Scale-weighted Layer, by Xiaorui Xue et al.
Summary of A Great Architecture For Edge-based Graph Problems Like Tsp, by Attila Lischka et al.
Summary of Mini-omni: Language Models Can Hear, Talk While Thinking in Streaming, by Zhifei Xie and Changqiao Wu
Summary of A Gradient Analysis Framework For Rewarding Good and Penalizing Bad Examples in Language Models, by Yi-lin Tuan et al.
Summary of Uv-free Texture Generation with Denoising and Geodesic Heat Diffusions, by Simone Foti et al.
Summary of A Score-based Density Formula, with Applications in Diffusion Generative Models, by Gen Li et al.
Summary of Reinforcement Learning Without Human Feedback For Last Mile Fine-tuning Of Large Language Models, by Alec Solway
Summary of Hlogformer: a Hierarchical Transformer For Representing Log Data, by Zhichao Hou et al.
Summary of Generative Ai in Ship Design, by Sahil Thakur et al.
Summary of Physics-informed Neural Networks and Extensions, by Maziar Raissi et al.
Summary of Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis, By Theodoros Kouzelis et al.
Summary of Machine Learning-based Research on the Adaptability Of Adolescents to Online Education, by Mingwei Wang and Sitong Liu
Summary of The Star Geometry Of Critic-based Regularizer Learning, by Oscar Leong and Eliza O’reilly and Yong Sheng Soh
Summary of Probabilistic Decomposed Linear Dynamical Systems For Robust Discovery Of Latent Neural Dynamics, by Yenho Chen et al.
Summary of Characterization Of Point-source Transient Events with a Rolling-shutter Compressed Sensing System, by Frank Qiu et al.
Summary of Gstam: Efficient Graph Distillation with Structural Attention-matching, by Arash Rasti-meymandi et al.
Summary of Multimodal Elbo with Diffusion Decoders, by Daniel Wesego et al.
Summary of Llava-chef: a Multi-modal Generative Model For Food Recipes, by Fnu Mohbat and Mohammed J. Zaki
Summary of Tex-vit: a Generalizable, Robust, Texture-based Dual-branch Cross-attention Deepfake Detector, by Deepak Dagar et al.
Summary of Dlformer: Enhancing Explainability in Multivariate Time Series Forecasting Using Distributed Lag Embedding, by Younghwi Kim et al.
Summary of Multitask Learning For Improved Scour Detection: a Dynamic Wave Tank Study, by Simon M. Brealy et al.
Summary of Tinytnas: Gpu-free, Time-bound, Hardware-aware Neural Architecture Search For Tinyml Time Series Classification, by Bidyut Saha et al.
Summary of Adaptive Variational Continual Learning Via Task-heuristic Modelling, by Fan Yang
Summary of Sfr-gnn: Simple and Fast Robust Gnns Against Structural Attacks, by Xing Ai et al.
Summary of Salsa: Speedy Asr-llm Synchronous Aggregation, by Ashish Mittal et al.
Summary of Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning, by Boyu Chen et al.
Summary of Crisperwhisper: Accurate Timestamps on Verbatim Speech Transcriptions, by Laurin Wagner et al.
Summary of An Adaptive Latent Factorization Of Tensors Model For Embedding Dynamic Communication Network, by Xin Liao et al.
Summary of High-dimensional Sparse Data Low-rank Representation Via Accelerated Asynchronous Parallel Stochastic Gradient Descent, by Qicong Hu and Hao Wu
Summary of Semg-driven Physics-informed Gated Recurrent Networks For Modeling Upper Limb Multi-joint Movement Dynamics, by Rajnish Kumar et al.
Summary of Data Quality Monitoring Through Transfer Learning on Anomaly Detection For the Hadron Calorimeters, by Mulugeta Weldezgina Asres et al.
Summary of Blending Low and High-level Semantics Of Time Series For Better Masked Time Series Generation, by Johan Vik Mathisen et al.
Summary of Towards Infusing Auxiliary Knowledge For Distracted Driver Detection, by Ishwar B Balappanawar et al.
Summary of Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation, by Christian D. Blakely
Summary of 3d Pose-based Temporal Action Segmentation For Figure Skating: a Fine-grained and Jump Procedure-aware Annotation Approach, by Ryota Tanaka et al.
Summary of Optimal Parallelization Of Boosting, by Arthur Da Cunha et al.
Summary of Iterative Graph Alignment, by Fangyuan Yu et al.
Summary of Cw-cnn & Cw-an: Convolutional Networks and Attention Networks For Cw-complexes, by Rahul Khorana
Summary of Entropic Distribution Matching in Supervised Fine-tuning Of Llms: Less Overfitting and Better Diversity, by Ziniu Li et al.
Summary of Sympgnns: Symplectic Graph Neural Networks For Identifiying High-dimensional Hamiltonian Systems and Node Classification, by Alan John Varghese et al.
Summary of Enhancing Customer Churn Prediction in Telecommunications: An Adaptive Ensemble Learning Approach, by Mohammed Affan Shaikhsurab et al.
Summary of Near-optimal Policy Identification in Robust Constrained Markov Decision Processes Via Epigraph Form, by Toshinori Kitamura et al.
Summary of Openfgl: a Comprehensive Benchmark For Federated Graph Learning, by Xunkai Li et al.
Summary of Flexible Framework For Generating Synthetic Electrocardiograms and Photoplethysmograms, by Katri Karhinoja et al.
Summary of Physics Of Language Models: Part 2.2, How to Learn From Mistakes on Grade-school Math Problems, by Tian Ye et al.
Summary of Minimising Changes to Audit When Updating Decision Trees, by Anj Simmons et al.
Summary of Gl-tsvm: a Robust and Smooth Twin Support Vector Machine with Guardian Loss Function, by Mushir Akhtar et al.
Summary of Self-improving Diffusion Models with Synthetic Data, by Sina Alemohammad et al.
Summary of Addressing Common Misinterpretations Of Kart and Uat in Neural Network Literature, by Vugar Ismailov
Summary of Tg-phynn: An Enhanced Physically-aware Graph Neural Network Framework For Forecasting Spatio-temporal Data, by Zakaria Elabid et al.
Summary of Do Graph Neural Networks Work For High Entropy Alloys?, by Hengrui Zhang et al.
Summary of Tempokgat: a Novel Graph Attention Network Approach For Temporal Graph Analysis, by Lena Sasal et al.
Summary of Illuminating the Diversity-fitness Trade-off in Black-box Optimization, by Maria Laura Santoni et al.
Summary of Deepspoc: a Deep Learning-based Pde Solver Governed by Sequential Propagation Of Chaos, By Kai Du et al.
Summary of Spectral Informed Neural Network: An Efficient and Low-memory Pinn, by Tianchi Yu et al.
Summary of A Comparative Study Of Hyperparameter Tuning Methods, by Subhasis Dasgupta et al.
Summary of Gradient-free Variational Learning with Conditional Mixture Networks, by Conor Heins et al.
Summary of On-device Ai: Quantization-aware Training Of Transformers in Time-series, by Tianheng Ling et al.
Summary of An Exploratory Deep Learning Approach For Predicting Subsequent Suicidal Acts in Chinese Psychological Support Hotlines, by Changwei Song et al.
Summary of Hygene: a Diffusion-based Hypergraph Generation Method, by Dorian Gailhard et al.
Summary of Improving the Prediction Of Individual Engagement in Recommendations Using Cognitive Models, by Roderick Seow et al.
Summary of Does Data-efficient Generalization Exacerbate Bias in Foundation Models?, by Dilermando Queiroz et al.
Summary of Free Lunch in the Forest: Functionally-identical Pruning Of Boosted Tree Ensembles, by Youssouf Emine et al.
Summary of Lemon: Learning to Learn Multi-operator Networks, by Jingmin Sun et al.
Summary of Simulating Realistic Short Tandem Repeat Capillary Electrophoretic Signal Using a Generative Adversarial Network, by Duncan Taylor and Melissa Humphries
Summary of Real-time Energy Pricing in New Zealand: An Evolving Stream Analysis, by Yibin Sun et al.
Summary of A More Unified Theory Of Transfer Learning, by Steve Hanneke and Samory Kpotufe
Summary of Variational Mode-driven Graph Convolutional Network For Spatiotemporal Traffic Forecasting, by Osama Ahmad and Zubair Khalid
Summary of Uni-3dad: Gan-inversion Aided Universal 3d Anomaly Detection on Model-free Products, by Jiayu Liu et al.
Summary of Short-term Electricity-load Forecasting by Deep Learning: a Comprehensive Survey, By Qi Dong et al.
Summary of Revisit Micro-batch Clipping: Adaptive Data Pruning Via Gradient Manipulation, by Lun Wang
Summary of Rexamine-global: a Framework For Uncovering Inconsistencies in Radiology Report Generation Metrics, by Oishi Banerjee et al.
Summary of Targeted Cause Discovery with Data-driven Learning, by Jang-hyun Kim et al.
Summary of Large-scale Multi-omic Biosequence Transformers For Modeling Peptide-nucleotide Interactions, by Sully F. Chen et al.
Summary of Enhancing Conditional Image Generation with Explainable Latent Space Manipulation, by Kshitij Pathania
Summary of Iterated Energy-based Flow Matching For Sampling From Boltzmann Densities, by Dongyeop Woo et al.
Summary of Coalitions Of Ai-based Methods Predict 15-year Risks Of Breast Cancer Metastasis Using Real-world Clinical Data with Auc Up to 0.9, by Xia Jiang et al.
Summary of Evaluating Time-series Training Dataset Through Lens Of Spectrum in Deep State Space Models, by Sekitoshi Kanai et al.
Summary of On Convergence Of Average-reward Q-learning in Weakly Communicating Markov Decision Processes, by Yi Wan et al.
Summary of Web Service Qos Prediction Via Extended Canonical Polyadic-based Tensor Network, by Qu Wang et al.
Summary of Efficient Slice Anomaly Detection Network For 3d Brain Mri Volume, by Zeduo Zhang et al.
Summary of Climdetect: a Benchmark Dataset For Climate Change Detection and Attribution, by Sungduk Yu et al.
Summary of Eagle: Exploring the Design Space For Multimodal Llms with Mixture Of Encoders, by Min Shi et al.
Summary of Mamba or Transformer For Time Series Forecasting? Mixture Of Universals (mou) Is All You Need, by Sijia Peng and Yun Xiong and Yangyong Zhu and Zhiqiang Shen
Summary of Artificial Neural Network and Deep Learning: Fundamentals and Theory, by M. M. Hammad
Summary of Toward Time-continuous Data Inference in Sparse Urban Crowdsensing, by Ziyu Sun et al.
Summary of Meta-learn Unimodal Signals with Weak Supervision For Multimodal Sentiment Analysis, by Sijie Mai et al.
Summary of Emp: Enhance Memory in Data Pruning, by Jinying Xiao and Ping Li and Jie Nie and Zhe Tang
Summary of An Extremely Data-efficient and Generative Llm-based Reinforcement Learning Agent For Recommenders, by Shuang Feng et al.
Summary of Analysis Of Diagnostics (part Ii): Prevalence, Linear Independence, and Unsupervised Learning, by Paul N. Patrone et al.
Summary of Scaling Up Diffusion and Flow-based Xgboost Models, by Jesse C. Cresswell et al.
Summary of Fairness, Accuracy, and Unreliable Data, by Kevin Stangl
Summary of Ensuring Equitable Financial Decisions: Leveraging Counterfactual Fairness and Deep Learning For Bias, by Saish Shinde
Summary of Epo: Hierarchical Llm Agents with Environment Preference Optimization, by Qi Zhao et al.
Summary of Uncertainty Modeling in Graph Neural Networks Via Stochastic Differential Equations, by Richard Bergna et al.
Summary of Negative Binomial Matrix Completion, by Yu Lu et al.
Summary of Rain: Reinforcement Algorithms For Improving Numerical Weather and Climate Models, by Pritthijit Nath et al.