Paper List

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Summary of Accelerate Neural Subspace-based Reduced-order Solver Of Deformable Simulation by Lipschitz Optimization, By Aoran Lyu et al.
Summary of Neural Entropy, by Akhil Premkumar
Summary of Latent Space Energy-based Neural Odes, by Sheng Cheng et al.
Summary of Distributionally Robust Optimisation with Bayesian Ambiguity Sets, by Charita Dellaporta et al.
Summary of Survey Of Data-driven Newsvendor: Unified Analysis and Spectrum Of Achievable Regrets, by Zhuoxin Chen et al.
Summary of A Physics-informed Machine Learning Approach For Solving Distributed Order Fractional Differential Equations, by Alireza Afzal Aghaei
Summary of Prediction Accuracy & Reliability: Classification and Object Localization Under Distribution Shift, by Fabian Diet et al.
Summary of The Power Of Second Chance: Personalized Submodular Maximization with Two Candidates, by Jing Yuan et al.
Summary of Dkdm: Data-free Knowledge Distillation For Diffusion Models with Any Architecture, by Qianlong Xiang et al.
Summary of Unified Framework For Neural Network Compression Via Decomposition and Optimal Rank Selection, by Ali Aghababaei-harandi et al.
Summary of 100 Instances Is All You Need: Predicting the Success Of a New Llm on Unseen Data by Testing on a Few Instances, By Lorenzo Pacchiardi et al.
Summary of Cost Estimation in Unit Commitment Problems Using Simulation-based Inference, by Matthias Pirlet et al.
Summary of Chirps: Change-induced Regret Proxy Metrics For Lifelong Reinforcement Learning, by John Birkbeck et al.
Summary of A Practical Approach to Evaluating the Adversarial Distance For Machine Learning Classifiers, by Georg Siedel et al.
Summary of Dart2: a Robust Multiple Testing Method to Smartly Leverage Helpful or Misleading Ancillary Information, by Xuechan Li et al.
Summary of Vflgan-ts: Vertical Federated Learning-based Generative Adversarial Networks For Publication Of Vertically Partitioned Time-series Data, by Xun Yuan and Zilong Zhao and Prosanta Gope and Biplab Sikdar
Summary of Beyond Model Interpretability: Socio-structural Explanations in Machine Learning, by Andrew Smart and Atoosa Kasirzadeh
Summary of Limited but Consistent Gains in Adversarial Robustness by Co-training Object Recognition Models with Human Eeg, By Manshan Guo and Bhavin Choksi and Sari Sadiya and Alessandro T. Gifford and Martina G. Vilas and Radoslaw M. Cichy and Gemma Roig
Summary of On the Limited Generalization Capability Of the Implicit Reward Model Induced by Direct Preference Optimization, By Yong Lin et al.
Summary of Unsupervised Anomaly Detection and Localization with Generative Adversarial Networks, by Khouloud Abdelli et al.
Summary of Threat Classification on Deployed Optical Networks Using Mimo Digital Fiber Sensing, Wavelets, and Machine Learning, by Khouloud Abdelli et al.
Summary of A Dnn Biophysics Model with Topological and Electrostatic Features, by Elyssa Sliheet et al.
Summary of The Representation Landscape Of Few-shot Learning and Fine-tuning in Large Language Models, by Diego Doimo et al.
Summary of Infralib: Enabling Reinforcement Learning and Decision-making For Large-scale Infrastructure Management, by Pranay Thangeda et al.
Summary of Machine Learning-based Algorithms For At-home Respiratory Disease Monitoring and Respiratory Assessment, by Negar Orangi-fard et al.
Summary of Pricing American Options Using Machine Learning Algorithms, by Prudence Djagba and Callixte Ndizihiwe
Summary of Bi-capacity Choquet Integral For Sensor Fusion with Label Uncertainty, by Hersh Vakharia and Xiaoxiao Du
Summary of Xlam: a Family Of Large Action Models to Empower Ai Agent Systems, by Jianguo Zhang et al.
Summary of Fairquant: Certifying and Quantifying Fairness Of Deep Neural Networks, by Brian Hyeongseok Kim et al.
Summary of Robust Q-learning Under Corrupted Rewards, by Sreejeet Maity and Aritra Mitra
Summary of State-space Models Are Accurate and Efficient Neural Operators For Dynamical Systems, by Zheyuan Hu et al.
Summary of Preserving Empirical Probabilities in Bert For Small-sample Clinical Entity Recognition, by Abdul Rehman et al.
Summary of Diffgrad For Physics-informed Neural Networks, by Jamshaid Ul Rahman et al.
Summary of Tensor Network Square Root Kalman Filter For Online Gaussian Process Regression, by Clara Menzen and Manon Kok and Kim Batselier
Summary of Interpretable Mixture Of Experts For Time Series Prediction Under Recurrent and Non-recurrent Conditions, by Zemian Ke et al.
Summary of Llm Detectors Still Fall Short Of Real World: Case Of Llm-generated Short News-like Posts, by Henrique Da Silva Gameiro et al.
Summary of Towards Training Digitally-tied Analog Blocks Via Hybrid Gradient Computation, by Timothy Nest et al.
Summary of Elo-rated Sequence Rewards: Advancing Reinforcement Learning Models, by Qi Ju et al.
Summary of Improving Robustness to Multiple Spurious Correlations by Multi-objective Optimization, By Nayeong Kim et al.
Summary of Semi-supervised Sparse Gaussian Classification: Provable Benefits Of Unlabeled Data, by Eyar Azar and Boaz Nadler
Summary of Mousesis: a Frames-and-events Dataset For Space-time Instance Segmentation Of Mice, by Friedhelm Hamann et al.
Summary of Improving Uncertainty-error Correspondence in Deep Bayesian Medical Image Segmentation, by Prerak Mody et al.
Summary of Massive Activations in Graph Neural Networks: Decoding Attention For Domain-dependent Interpretability, by Lorenzo Bini et al.
Summary of Meal-taking Activity Monitoring in the Elderly Based on Sensor Data: Comparison Of Unsupervised Classification Methods, by Abderrahim Derouiche (laas-s4m et al.
Summary of Sdooop: Capturing Periodical Patterns and Out-of-phase Anomalies in Streaming Data Analysis, by Alexander Hartl et al.
Summary of Clue: Concept-level Uncertainty Estimation For Large Language Models, by Yu-hsiang Wang et al.
Summary of Hallucination Detection in Llms: Fast and Memory-efficient Fine-tuned Models, by Gabriel Y. Arteaga et al.
Summary of Numosim: a Synthetic Mobility Dataset with Anomaly Detection Benchmarks, by Chris Stanford et al.
Summary of Mdnf: Multi-diffusion-nets For Neural Fields on Meshes, by Avigail Cohen Rimon et al.
Summary of Can Your Generative Model Detect Out-of-distribution Covariate Shift?, by Christiaan Viviers and Amaan Valiuddin and Francisco Caetano and Lemar Abdi and Lena Filatova and Peter De with and Fons Van Der Sommen
Summary of Better Verified Explanations with Applications to Incorrectness and Out-of-distribution Detection, by Min Wu et al.
Summary of An Introduction to Centralized Training For Decentralized Execution in Cooperative Multi-agent Reinforcement Learning, by Christopher Amato
Summary of Backdoor Defense, Learnability and Obfuscation, by Paul Christiano et al.
Summary of Leveraging Interpretability in the Transformer to Automate the Proactive Scaling Of Cloud Resources, by Amadou Ba et al.
Summary of The Ademamix Optimizer: Better, Faster, Older, by Matteo Pagliardini et al.
Summary of Probing Self-attention in Self-supervised Speech Models For Cross-linguistic Differences, by Sai Gopinath and Joselyn Rodriguez
Summary of Towards Autonomous Cybersecurity: An Intelligent Automl Framework For Autonomous Intrusion Detection, by Li Yang et al.
Summary of Addressing the Gaps in Early Dementia Detection: a Path Towards Enhanced Diagnostic Models Through Machine Learning, by Juan A. Berrios Moya
Summary of Causal Temporal Representation Learning with Nonstationary Sparse Transition, by Xiangchen Song et al.
Summary of Discovering Cyclists’ Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning, by Kezhou Ren et al.
Summary of Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-slab Prior, by Wang Xinming et al.
Summary of Standing on the Shoulders Of Giants, by Lucas Felipe Ferraro Cardoso et al.
Summary of Ruleexplorer: a Scalable Matrix Visualization For Understanding Tree Ensemble Classifiers, by Zhen Li et al.
Summary of Few-shot Multi-task Learning Of Linear Invariant Features with Meta Subspace Pursuit, by Chaozhi Zhang et al.
Summary of Mooss: Mask-enhanced Temporal Contrastive Learning For Smooth State Evolution in Visual Reinforcement Learning, by Jiarui Sun et al.
Summary of Recoverable Anonymization For Pose Estimation: a Privacy-enhancing Approach, by Wenjun Huang et al.
Summary of Task-oriented Communication For Graph Data: a Graph Information Bottleneck Approach, by Shujing Li et al.
Summary of Tractable Offline Learning Of Regular Decision Processes, by Ahana Deb et al.
Summary of Complete and Efficient Covariants For 3d Point Configurations with Application to Learning Molecular Quantum Properties, by Hartmut Maennel et al.
Summary of Unlearning From Experience to Avoid Spurious Correlations, by Jeff Mitchell et al.
Summary of Unifying Causal Representation Learning with the Invariance Principle, by Dingling Yao et al.
Summary of Regularized Multi-output Gaussian Convolution Process with Domain Adaptation, by Wang Xinming et al.
Summary of Boosting Certified Robustness For Time Series Classification with Efficient Self-ensemble, by Chang Dong et al.
Summary of Oops, I Sampled It Again: Reinterpreting Confidence Intervals in Few-shot Learning, by Raphael Lafargue et al.
Summary of Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-shot Learning with Large Language Models, By Moein Shahiki Tash et al.
Summary of Look Into the Lite in Deep Learning For Time Series Classification, by Ali Ismail-fawaz and Maxime Devanne and Stefano Berretti and Jonathan Weber and Germain Forestier
Summary of Configurable Foundation Models: Building Llms From a Modular Perspective, by Chaojun Xiao et al.
Summary of Benchmarking Spurious Bias in Few-shot Image Classifiers, by Guangtao Zheng et al.
Summary of Topological Methods in Machine Learning: a Tutorial For Practitioners, by Baris Coskunuzer et al.
Summary of Masked Diffusion Models Are Secretly Time-agnostic Masked Models and Exploit Inaccurate Categorical Sampling, by Kaiwen Zheng et al.
Summary of Cortexcompile: Harnessing Cortical-inspired Architectures For Enhanced Multi-agent Nlp Code Synthesis, by Gautham Ramachandran et al.
Summary of Multi-modal Adapter For Vision-language Models, by Dominykas Seputis et al.
Summary of Comparison Of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury Using Multilevel Fusion Of Data Features, By Sameer Kadem et al.
Summary of Coast: Validation-free Contribution Assessment For Federated Learning Based on Cross-round Valuation, by Hao Wu et al.
Summary of Demographic Parity in Regression and Classification Within the Unawareness Framework, by Vincent Divol (ensae Paris) et al.
Summary of Reliable Deep Diffusion Tensor Estimation: Rethinking the Power Of Data-driven Optimization Routine, by Jialong Li et al.
Summary of Volumetric Surfaces: Representing Fuzzy Geometries with Multiple Meshes, by Stefano Esposito et al.
Summary of Continual Diffuser (cod): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal, by Jifeng Hu et al.
Summary of Sample What You Cant Compress, by Vighnesh Birodkar et al.
Summary of Understanding Egfr Trajectories and Kidney Function Decline Via Large Multimodal Models, by Chih-yuan Li et al.
Summary of Bmi Prediction From Handwritten English Characters Using a Convolutional Neural Network, by N. T. Diba et al.
Summary of Low-resolution Object Recognition with Cross-resolution Relational Contrastive Distillation, by Kangkai Zhang et al.
Summary of Multiview Random Vector Functional Link Network For Predicting Dna-binding Proteins, by A. Quadir et al.
Summary of An Analysis Of Linear Complexity Attention Substitutes with Best-rq, by Ryan Whetten et al.
Summary of Hypothesizing Missing Causal Variables with Llms, by Ivaxi Sheth et al.
Summary of Conformal Prediction in Dynamic Biological Systems, by Alberto Portela et al.
Summary of (implicit) Ensembles Of Ensembles: Epistemic Uncertainty Collapse in Large Models, by Andreas Kirsch
Summary of Independence Constrained Disentangled Representation Learning From Epistemological Perspective, by Ruoyu Wang et al.
Summary of Introduction to Machine Learning, by Laurent Younes
Summary of Deconfounded Causality-aware Parameter-efficient Fine-tuning For Problem-solving Improvement Of Llms, by Ruoyu Wang et al.