Paper List

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Summary of Unettsf: a Better Performance Linear Complexity Time Series Prediction Model, by Li Chu et al.
Summary of The Rise Of Diffusion Models in Time-series Forecasting, by Caspar Meijer and Lydia Y. Chen
Summary of Accidentgpt: Large Multi-modal Foundation Model For Traffic Accident Analysis, by Kebin Wu and Wenbin Li and Xiaofei Xiao
Summary of Neural Causal Abstractions, by Kevin Xia et al.
Summary of Model-agnostic Interpretation Framework in Machine Learning: a Comparative Study in Nba Sports, by Shun Liu
Summary of Simple Hierarchical Planning with Diffusion, by Chang Chen et al.
Summary of Improving Sample Efficiency Of High Dimensional Bayesian Optimization with Mcmc, by Zeji Yi et al.
Summary of Gta: Guided Transfer Of Spatial Attention From Object-centric Representations, by Seokhyun Seo et al.
Summary of A Deep Q-learning Based Smart Scheduling Of Evs For Demand Response in Smart Grids, by Viorica Rozina Chifu et al.
Summary of Nurse-in-the-loop Artificial Intelligence For Precision Management Of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-learned Predictive Digital Twin, by Syed Hasib Akhter Faruqui et al.
Summary of Adaptive Discounting Of Training Time Attacks, by Ridhima Bector et al.
Summary of A Backdoor Attack Against Link Prediction Tasks with Graph Neural Networks, by Jiazhu Dai et al.
Summary of Zero-shot Microclimate Prediction with Deep Learning, by Iman Deznabi et al.
Summary of Homophily-related: Adaptive Hybrid Graph Filter For Multi-view Graph Clustering, by Zichen Wen et al.
Summary of Geometric-facilitated Denoising Diffusion Model For 3d Molecule Generation, by Can Xu et al.
Summary of Pahd: Perception-action Based Human Decision Making Using Explainable Graph Neural Networks on Sar Images, by Sasindu Wijeratne et al.
Summary of Triplesurv: Triplet Time-adaptive Coordinate Loss For Survival Analysis, by Liwen Zhang et al.
Summary of Graph-level Protein Representation Learning by Structure Knowledge Refinement, By Ge Wang et al.
Summary of Calibration Attacks: a Comprehensive Study Of Adversarial Attacks on Model Confidence, by Stephen Obadinma et al.
Summary of Fedns: a Fast Sketching Newton-type Algorithm For Federated Learning, by Jian Li et al.
Summary of Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network, by Muhammad Yaqub et al.
Summary of A Cost-efficient Fpga Implementation Of Tiny Transformer Model Using Neural Ode, by Ikumi Okubo et al.
Summary of On the Numerical Reliability Of Nonsmooth Autodiff: a Maxpool Case Study, by Ryan Boustany (tse-r)
Summary of Mapping Of Land Use and Land Cover (lulc) Using Eurosat and Transfer Learning, by Suman Kunwar et al.
Summary of Automated Classification Of Model Errors on Imagenet, by Momchil Peychev et al.
Summary of A Comprehensive Survey Of Research Towards Ai-enabled Unmanned Aerial Systems in Pre-, Active-, and Post-wildfire Management, by Sayed Pedram Haeri Boroujeni et al.
Summary of Feddiff: Diffusion Model Driven Federated Learning For Multi-modal and Multi-clients, by Daixun Li et al.
Summary of Ecil-mu: Embedding Based Class Incremental Learning and Machine Unlearning, by Zhiwei Zuo et al.
Summary of Data-centric Foundation Models in Computational Healthcare: a Survey, by Yunkun Zhang et al.
Summary of Interpretable Time Series Models For Wastewater Modeling in Combined Sewer Overflows, by Teodor Chiaburu et al.
Summary of A Kolmogorov Metric Embedding For Live Cell Microscopy Signaling Patterns, by Layton Aho et al.
Summary of Towards An Adaptable and Generalizable Optimization Engine in Decision and Control: a Meta Reinforcement Learning Approach, by Sungwook Yang et al.
Summary of Structured Matrix Learning Under Arbitrary Entrywise Dependence and Estimation Of Markov Transition Kernel, by Jinhang Chai et al.
Summary of Image-based Deep Learning For Smart Digital Twins: a Review, by Md Ruman Islam et al.
Summary of Branched Variational Autoencoder Classifiers, by Ahmed Salah and David Yevick
Summary of Novel End-to-end Production-ready Machine Learning Flow For Nanolithography Modeling and Correction, by Mohamed S. E. Habib et al.
Summary of Contrast: Continual Multi-source Adaptation to Dynamic Distributions, by Sk Miraj Ahmed et al.
Summary of Hyperparameter Estimation For Sparse Bayesian Learning Models, by Feng Yu and Lixin Shen and Guohui Song
Summary of Long-term Fairness For Real-time Decision Making: a Constrained Online Optimization Approach, by Ruijie Du et al.
Summary of T-dgr: a Trajectory-based Deep Generative Replay Method For Continual Learning in Decision Making, by William Yue et al.
Summary of Federated Learning For Distribution Skewed Data Using Sample Weights, by Hung Nguyen et al.
Summary of Synthetic Information Towards Maximum Posterior Ratio For Deep Learning on Imbalanced Data, by Hung Nguyen and Morris Chang
Summary of Guaranteed Nonconvex Factorization Approach For Tensor Train Recovery, by Zhen Qin et al.
Summary of Policy-regularized Offline Multi-objective Reinforcement Learning, by Qian Lin et al.
Summary of L3cube-indicnews: News-based Short Text and Long Document Classification Datasets in Indic Languages, by Aishwarya Mirashi et al.
Summary of Balancing Continual Learning and Fine-tuning For Human Activity Recognition, by Chi Ian Tang et al.
Summary of Universal Approximation Theorem For Vector- and Hypercomplex-valued Neural Networks, by Marcos Eduardo Valle et al.
Summary of Lightweight Fish Classification Model For Sustainable Marine Management: Indonesian Case, by Febrian Kurniawan et al.
Summary of Uncertainty-aware Deep Attention Recurrent Neural Network For Heterogeneous Time Series Imputation, by Linglong Qian et al.
Summary of Path-based Explanation For Knowledge Graph Completion, by Heng Chang et al.
Summary of Training Single-layer Morphological Perceptron Using Convex-concave Programming, by Iara Cunha and Marcos Eduardo Valle
Summary of Beyond Extraction: Contextualising Tabular Data For Efficient Summarisation by Language Models, By Uday Allu et al.
Summary of Exploring Vacant Classes in Label-skewed Federated Learning, by Kuangpu Guo et al.
Summary of A Robust Quantile Huber Loss with Interpretable Parameter Adjustment in Distributional Reinforcement Learning, by Parvin Malekzadeh et al.
Summary of Multi-source Domain Adaptation with Transformer-based Feature Generation For Subject-independent Eeg-based Emotion Recognition, by Shadi Sartipi et al.
Summary of A Survey Analyzing Generalization in Deep Reinforcement Learning, by Ezgi Korkmaz
Summary of Generating Synthetic Data For Neural Operators, by Erisa Hasani et al.
Summary of Integration Of Physics-informed Operator Learning and Finite Element Method For Parametric Learning Of Partial Differential Equations, by Shahed Rezaei et al.
Summary of Real-time 2d Temperature Field Prediction in Metal Additive Manufacturing Using Physics-informed Neural Networks, by Pouyan Sajadi et al.
Summary of What You See Is What You Gan: Rendering Every Pixel For High-fidelity Geometry in 3d Gans, by Alex Trevithick et al.
Summary of Llm Augmented Llms: Expanding Capabilities Through Composition, by Rachit Bansal et al.
Summary of Simulation-based Inference with Quantile Regression, by He Jia
Summary of Odin: a Single Model For 2d and 3d Segmentation, by Ayush Jain et al.
Summary of Unsupervised Object-centric Learning From Multiple Unspecified Viewpoints, by Jinyang Yuan et al.
Summary of Geopos: a Minimal Positional Encoding For Enhanced Fine-grained Details in Image Synthesis Using Convolutional Neural Networks, by Mehran Hosseini and Peyman Hosseini
Summary of Beyond Regrets: Geometric Metrics For Bayesian Optimization, by Jungtaek Kim
Summary of Gps-ssl: Guided Positive Sampling to Inject Prior Into Self-supervised Learning, by Aarash Feizi et al.
Summary of Two-stage Surrogate Modeling For Data-driven Design Optimization with Application to Composite Microstructure Generation, by Farhad Pourkamali-anaraki et al.
Summary of Decentralized Multi-task Online Convex Optimization Under Random Link Failures, by Wenjing Yan and Xuanyu Cao
Summary of Fast & Fair: Efficient Second-order Robust Optimization For Fairness in Machine Learning, by Allen Minch et al.
Summary of Switchtab: Switched Autoencoders Are Effective Tabular Learners, by Jing Wu et al.
Summary of Improving Diffusion-based Image Synthesis with Context Prediction, by Ling Yang et al.
Summary of From Function to Distribution Modeling: a Pac-generative Approach to Offline Optimization, by Qiang Zhang et al.
Summary of Neural Collapse For Cross-entropy Class-imbalanced Learning with Unconstrained Relu Feature Model, by Hien Dang and Tho Tran and Tan Nguyen and Nhat Ho
Summary of Energy Based Diffusion Generator For Efficient Sampling Of Boltzmann Distributions, by Yan Wang et al.
Summary of View-based Explanations For Graph Neural Networks, by Tingyang Chen et al.
Summary of U-trustworthy Models.reliability, Competence, and Confidence in Decision-making, by Ritwik Vashistha et al.
Summary of Re-evaluating the Memory-balanced Pipeline Parallelism: Bpipe, by Mincong Huang et al.
Summary of Graph Neural Networks For Tabular Data Learning: a Survey with Taxonomy and Directions, by Cheng-te Li et al.
Summary of Disentangle Estimation Of Causal Effects From Cross-silo Data, by Yuxuan Liu et al.
Summary of Trajectory-oriented Policy Optimization with Sparse Rewards, by Guojian Wang et al.
Summary of Fairgridsearch: a Framework to Compare Fairness-enhancing Models, by Shih-chi Ma et al.
Summary of U-mixer: An Unet-mixer Architecture with Stationarity Correction For Time Series Forecasting, by Xiang Ma et al.
Summary of Task and Explanation Network, by Moshe Sipper
Summary of Investigating the Suitability Of Concept Drift Detection For Detecting Leakages in Water Distribution Networks, by Valerie Vaquet et al.
Summary of Understanding the Detrimental Class-level Effects Of Data Augmentation, by Polina Kirichenko et al.
Summary of Applications Of Machine Learning and Iot For Outdoor Air Pollution Monitoring and Prediction: a Systematic Literature Review, by Ihsane Gryech et al.
Summary of A Quatum Inspired Neural Network For Geometric Modeling, by Weitao Du et al.
Summary of Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses, by Yasaman Parhizkar et al.
Summary of Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling, by Himmet Toprak Kesgin et al.
Summary of Act As You Learn: Adaptive Decision-making in Non-stationary Markov Decision Processes, by Baiting Luo et al.
Summary of Wasserstein Nonnegative Tensor Factorization with Manifold Regularization, by Jianyu Wang et al.
Summary of Investigating Semi-supervised Learning Algorithms in Text Datasets, by Himmet Toprak Kesgin et al.
Summary of Dgdnn: Decoupled Graph Diffusion Neural Network For Stock Movement Prediction, by Zinuo You et al.
Summary of Multilingual Instruction Tuning with Just a Pinch Of Multilinguality, by Uri Shaham et al.
Summary of Transformer Neural Autoregressive Flows, by Massimiliano Patacchiola et al.
Summary of Optimal Cross-learning For Contextual Bandits with Unknown Context Distributions, by Jon Schneider et al.
Summary of A Vision Check-up For Language Models, by Pratyusha Sharma et al.
Summary of Dataset Difficulty and the Role Of Inductive Bias, by Devin Kwok et al.
Summary of On the Hardness Of Learning Under Symmetries, by Bobak T. Kiani et al.