Paper List

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Summary of Explain Like I’m Five: Using Llms to Improve Pde Surrogate Models with Text, by Cooper Lorsung et al.
Summary of Proximix: Enhancing Fairness with Proximity Samples in Subgroups, by Jingyu Hu et al.
Summary of Recovering Manifold Structure Using Ollivier-ricci Curvature, by Tristan Luca Saidi et al.
Summary of Squeeze-and-remember Block, by Rinor Cakaj et al.
Summary of Towards Fairness and Privacy: a Novel Data Pre-processing Optimization Framework For Non-binary Protected Attributes, by Manh Khoi Duong and Stefan Conrad
Summary of Learning Stochastic Dynamics From Snapshots Through Regularized Unbalanced Optimal Transport, by Zhenyi Zhang et al.
Summary of Uncertainty-aware Reward Model: Teaching Reward Models to Know What Is Unknown, by Xingzhou Lou et al.
Summary of An Em Gradient Algorithm For Mixture Models with Components Derived From the Manly Transformation, by Katharine M. Clark and Paul D. Mcnicholas
Summary of Timber! Poisoning Decision Trees, by Stefano Calzavara et al.
Summary of Fine-grained Gradient Restriction: a Simple Approach For Mitigating Catastrophic Forgetting, by Bo Liu et al.
Summary of Replacing Paths with Connection-biased Attention For Knowledge Graph Completion, by Sharmishtha Dutta et al.
Summary of Review Of Blockchain Application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks, by Amy Ancelotti et al.
Summary of Empirical Perturbation Analysis Of Linear System Solvers From a Data Poisoning Perspective, by Yixin Liu et al.
Summary of Dual Consolidation For Pre-trained Model-based Domain-incremental Learning, by Da-wei Zhou et al.
Summary of On the Topology and Geometry Of Population-based Shm, by Keith Worden et al.
Summary of A Knowledge-informed Large Language Model Framework For U.s. Nuclear Power Plant Shutdown Initiating Event Classification For Probabilistic Risk Assessment, by Min Xian et al.
Summary of Acev: Unsupervised Intersecting Manifold Segmentation Using Adaptation to Angular Change Of Eigenvectors in Intrinsic Dimension, by Subhadip Boral and Rikathi Pal and Ashish Ghosh
Summary of Streamensemble: Predictive Queries Over Spatiotemporal Streaming Data, by Anderson Chaves et al.
Summary of Ar-sieve Bootstrap For the Random Forest and a Simulation-based Comparison with Rangerts Time Series Prediction, by Cabrel Teguemne Fokam and Carsten Jentsch and Michel Lang and Markus Pauly
Summary of Mos: Unleashing Parameter Efficiency Of Low-rank Adaptation with Mixture Of Shards, by Sheng Wang et al.
Summary of Risingballer: a Player Is a Token, a Match Is a Sentence, a Path Towards a Foundational Model For Football Players Data Analytics, by Akedjou Achraff Adjileye
Summary of Robust Guided Diffusion For Offline Black-box Optimization, by Can Sam Chen et al.
Summary of Tight Rates For Bandit Control Beyond Quadratics, by Y. Jennifer Sun et al.
Summary of Learning Personalized Treatment Decisions in Precision Medicine: Disentangling Treatment Assignment Bias in Counterfactual Outcome Prediction and Biomarker Identification, by Michael Vollenweider et al.
Summary of Advancing Rvfl Networks: Robust Classification with the Hawkeye Loss Function, by Mushir Akhtar et al.
Summary of The Causal Information Bottleneck and Optimal Causal Variable Abstractions, by Francisco N. F. Q. Simoes et al.
Summary of Differentially Private Active Learning: Balancing Effective Data Selection and Privacy, by Kristian Schwethelm et al.
Summary of Scaling Offline Model-based Rl Via Jointly-optimized World-action Model Pretraining, by Jie Cheng et al.
Summary of Tsvd: Bridging Theory and Practice in Continual Learning with Pre-trained Models, by Liangzu Peng et al.
Summary of Autotm 2.0: Automatic Topic Modeling Framework For Documents Analysis, by Maria Khodorchenko and Nikolay Butakov and Maxim Zuev and Denis Nasonov
Summary of Differentiable Interacting Multiple Model Particle Filtering, by John-joseph Brady et al.
Summary of Stabilizing the Kumaraswamy Distribution, by Max Wasserman et al.
Summary of Advanced Arabic Alphabet Sign Language Recognition Using Transfer Learning and Transformer Models, by Mazen Balat et al.
Summary of Beyond Minimax Rates in Group Distributionally Robust Optimization Via a Novel Notion Of Sparsity, by Quan Nguyen et al.
Summary of Investigating the Impact Of Model Complexity in Large Language Models, by Jing Luo et al.
Summary of Contrastive Abstraction For Reinforcement Learning, by Vihang Patil et al.
Summary of Pseudo-non-linear Data Augmentation Via Energy Minimization, by Pingbang Hu et al.
Summary of On the Geometry and Optimization Of Polynomial Convolutional Networks, by Vahid Shahverdi et al.
Summary of “show Me What’s Wrong!”: Combining Charts and Text to Guide Data Analysis, by Beatriz Feliciano et al.
Summary of Simplified Priors For Object-centric Learning, by Vihang Patil et al.
Summary of Targeted Synthetic Data Generation For Tabular Data Via Hardness Characterization, by Tommaso Ferracci et al.
Summary of Improved Generation Of Synthetic Imaging Data Using Feature-aligned Diffusion, by Lakshmi Nair
Summary of On the Generalization and Causal Explanation in Self-supervised Learning, by Wenwen Qiang et al.
Summary of Vlmguard: Defending Vlms Against Malicious Prompts Via Unlabeled Data, by Xuefeng Du et al.
Summary of Enzymeflow: Generating Reaction-specific Enzyme Catalytic Pockets Through Flow Matching and Co-evolutionary Dynamics, by Chenqing Hua et al.
Summary of Comprehensive Performance Modeling and System Design Insights For Foundation Models, by Shashank Subramanian et al.
Summary of A Taxonomy Of Loss Functions For Stochastic Optimal Control, by Carles Domingo-enrich
Summary of Sparse Attention Decomposition Applied to Circuit Tracing, by Gabriel Franco et al.
Summary of Neural Scaling Laws Of Deep Relu and Deep Operator Network: a Theoretical Study, by Hao Liu et al.
Summary of Easydiagnos: a Framework For Accurate Feature Selection For Automatic Diagnosis in Smart Healthcare, by Prasenjit Maji et al.
Summary of Robust Traffic Forecasting Against Spatial Shift Over Years, by Hongjun Wang et al.
Summary of Cxpmrg-bench: Pre-training and Benchmarking For X-ray Medical Report Generation on Chexpert Plus Dataset, by Xiao Wang et al.
Summary of Stgformer: Efficient Spatiotemporal Graph Transformer For Traffic Forecasting, by Hongjun Wang et al.
Summary of Generative Precipitation Downscaling Using Score-based Diffusion with Wasserstein Regularization, by Yuhao Liu et al.
Summary of Seamless Augmented Reality Integration in Arthroscopy: a Pipeline For Articular Reconstruction and Guidance, by Hongchao Shu et al.
Summary of Revisiting Essential and Nonessential Settings Of Evidential Deep Learning, by Mengyuan Chen et al.
Summary of A Generalized Mean Approach For Distributed-pca, by Zhi-yu Jou et al.
Summary of Intelligent Repetition Counting For Unseen Exercises: a Few-shot Learning Approach with Sensor Signals, by Yooseok Lim et al.
Summary of Scalable Multi-task Transfer Learning For Molecular Property Prediction, by Chanhui Lee et al.
Summary of Incorporating Arbitrary Matrix Group Equivariance Into Kans, by Lexiang Hu et al.
Summary of Uniadapt: a Universal Adapter For Knowledge Calibration, by Tai D. Nguyen et al.
Summary of Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-gflownet and Entropy Integration, by Siyi He
Summary of Multi-target Cross-lingual Summarization: a Novel Task and a Language-neutral Approach, by Diogo Pernes et al.
Summary of M2distill: Multi-modal Distillation For Lifelong Imitation Learning, by Kaushik Roy et al.
Summary of Collaborative Knowledge Distillation Via a Learning-by-education Node Community, by Anestis Kaimakamidis et al.
Summary of A Survey on Diffusion Models For Inverse Problems, by Giannis Daras et al.
Summary of Fine-tuning Vision Classifiers on a Budget, by Sunil Kumar et al.
Summary of Using Fractal Dimension to Predict the Risk Of Intra Cranial Aneurysm Rupture with Machine Learning, by Pradyumna Elavarthi et al.
Summary of Beyond Single Concept Vector: Modeling Concept Subspace in Llms with Gaussian Distribution, by Haiyan Zhao et al.
Summary of Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models, by Ji Liu et al.
Summary of Are Large Language Models In-context Personalized Summarizers? Get An Icopernicus Test Done!, by Divya Patel et al.
Summary of Basis-to-basis Operator Learning Using Function Encoders, by Tyler Ingebrand et al.
Summary of (almost) Smooth Sailing: Towards Numerical Stability Of Neural Networks Through Differentiable Regularization Of the Condition Number, by Rossen Nenov et al.
Summary of Evaluating the Fairness Of Task-adaptive Pretraining on Unlabeled Test Data Before Few-shot Text Classification, by Kush Dubey
Summary of Gandlf-synth: a Framework to Democratize Generative Ai For (bio)medical Imaging, by Sarthak Pati et al.
Summary of Characterizing and Efficiently Accelerating Multimodal Generation Model Inference, by Yejin Lee et al.
Summary of Probabilistic Classification Of Near-surface Shallow-water Sediments Using a Portable Free-fall Penetrometer, by Md Rejwanur Rahman et al.
Summary of Demonstrating the Continual Learning Capabilities and Practical Application Of Discrete-time Active Inference, by Rithvik Prakki
Summary of Preconditioning For Accelerated Gradient Descent Optimization and Regularization, by Qiang Ye
Summary of Stochastic Inverse Problem: Stability, Regularization and Wasserstein Gradient Flow, by Qin Li et al.
Summary of Quantized and Asynchronous Federated Learning, by Tomas Ortega and Hamid Jafarkhani
Summary of Enhanced Credit Score Prediction Using Ensemble Deep Learning Model, by Qianwen Xing et al.
Summary of Dopamine: Domain-specific Pre-training Adaptation From Seed-guided Data Mining, by Vinayak Arannil et al.
Summary of Accelerating Non-maximum Suppression: a Graph Theory Perspective, by King-siong Si et al.
Summary of Upper and Lower Bounds For Distributionally Robust Off-dynamics Reinforcement Learning, by Zhishuai Liu et al.
Summary of Dual Encoder Gan Inversion For High-fidelity 3d Head Reconstruction From Single Images, by Bahri Batuhan Bilecen et al.
Summary of End-to-end Conformal Calibration For Optimization Under Uncertainty, by Christopher Yeh et al.
Summary of Best Practices For Responsible Machine Learning in Credit Scoring, by Giovani Valdrighi et al.
Summary of Annealing Flow Generative Model Towards Sampling High-dimensional and Multi-modal Distributions, by Dongze Wu et al.
Summary of Supervised Multi-modal Fission Learning, by Lingchao Mao et al.
Summary of Spacemesh: a Continuous Representation For Learning Manifold Surface Meshes, by Tianchang Shen et al.
Summary of Mm1.5: Methods, Analysis & Insights From Multimodal Llm Fine-tuning, by Haotian Zhang et al.
Summary of Treb: a Bert Attempt For Imputing Tabular Data Imputation, by Shuyue Wang et al.
Summary of Prediction and Detection Of Terminal Diseases Using Internet Of Medical Things: a Review, by Akeem Temitope Otapo et al.
Summary of A Novel Spinor-based Embedding Model For Transformers, by Rick White
Summary of Epidemiology-aware Neural Ode with Continuous Disease Transmission Graph, by Guancheng Wan et al.
Summary of Generalizing Consistency Policy to Visual Rl with Prioritized Proximal Experience Regularization, by Haoran Li et al.
Summary of Cyclebnn: Cyclic Precision Training in Binary Neural Networks, by Federico Fontana et al.
Summary of Delayptc-llm: Metro Passenger Travel Choice Prediction Under Train Delays with Large Language Models, by Chen Chen et al.
Summary of Frequency-adaptive Multi-scale Deep Neural Networks, by Jizu Huang et al.