Paper List

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Summary of Wearable Accelerometer Foundation Models For Health Via Knowledge Distillation, by Salar Abbaspourazad et al.
Summary of Grassmannian Geometry Meets Dynamic Mode Decomposition in Dmd-gen: a New Metric For Mode Collapse in Time Series Generative Models, by Amime Mohamed Aboussalah and Yassine Abbahaddou
Summary of A Comparative Study on Dynamic Graph Embedding Based on Mamba and Transformers, by Ashish Parmanand Pandey et al.
Summary of Set-valued Sensitivity Analysis Of Deep Neural Networks, by Xin Wang et al.
Summary of Making Bias Amplification in Balanced Datasets Directional and Interpretable, by Bhanu Tokas et al.
Summary of Classification Drives Geographic Bias in Street Scene Segmentation, by Rahul Nair et al.
Summary of Representation Learning Of Dynamic Networks, by Haixu Wang and Jiguo Cao and Jian Pei
Summary of Learning Robust and Privacy-preserving Representations Via Information Theory, by Binghui Zhang et al.
Summary of Navigating Towards Fairness with Data Selection, by Yixuan Zhang et al.
Summary of Adapter-enhanced Semantic Prompting For Continual Learning, by Baocai Yin et al.
Summary of Edge Contrastive Learning: An Augmentation-free Graph Contrastive Learning Model, by Yujun Li et al.
Summary of Deep Spectral Clustering Via Joint Spectral Embedding and Kmeans, by Wengang Guo and Wei Ye
Summary of Equiflow: Equivariant Conditional Flow Matching with Optimal Transport For 3d Molecular Conformation Prediction, by Qingwen Tian et al.
Summary of Barcodemamba: State Space Models For Biodiversity Analysis, by Tiancheng Gao et al.
Summary of Graphmore: Mitigating Topological Heterogeneity Via Mixture Of Riemannian Experts, by Zihao Guo et al.
Summary of Dynamic Graph Attention Networks For Travel Time Distribution Prediction in Urban Arterial Roads, by Nooshin Yousefzadeh et al.
Summary of Abc3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments, by Taehun Cha and Donghun Lee
Summary of Impact Of Adversarial Attacks on Deep Learning Model Explainability, by Gazi Nazia Nur et al.
Summary of Latent Reward: Llm-empowered Credit Assignment in Episodic Reinforcement Learning, by Yun Qu et al.
Summary of Paid with Models: Optimal Contract Design For Collaborative Machine Learning, by Bingchen Wang et al.
Summary of Feature Engineering Vs. Deep Learning For Paper Section Identification: Toward Applications in Chinese Medical Literature, by Sijia Zhou et al.
Summary of Safe Reinforcement Learning Using Finite-horizon Gradient-based Estimation, by Juntao Dai et al.
Summary of Visymre: Vision-guided Multimodal Symbolic Regression, by Da Li et al.
Summary of St-fit: Inductive Spatial-temporal Forecasting with Limited Training Data, by Zhenyu Lei et al.
Summary of C3: Learning Congestion Controllers with Formal Certificates, by Chenxi Yang et al.
Summary of Predicting Survival Of Hemodialysis Patients Using Federated Learning, by Abhiram Raju et al.
Summary of Linear Programming Based Approximation to Individually Fair K-clustering with Outliers, by Binita Maity et al.
Summary of Progressive Compression with Universally Quantized Diffusion Models, by Yibo Yang et al.
Summary of Seghed+: Segmentation Of Heterogeneous Data For Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation, by Berke Doga Basaran et al.
Summary of Apar: Modeling Irregular Target Functions in Tabular Regression Via Arithmetic-aware Pre-training and Adaptive-regularized Fine-tuning, by Hong-wei Wu et al.
Summary of Generative Modeling with Diffusion, by Justin Le
Summary of Deep Learning-based Noninvasive Screening Of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records, by Sanjana Gundapaneni et al.
Summary of Softvq-vae: Efficient 1-dimensional Continuous Tokenizer, by Hao Chen et al.
Summary of Flowdock: Geometric Flow Matching For Generative Protein-ligand Docking and Affinity Prediction, by Alex Morehead and Jianlin Cheng
Summary of Psmgd: Periodic Stochastic Multi-gradient Descent For Fast Multi-objective Optimization, by Mingjing Xu et al.
Summary of Optimal Rates For Robust Stochastic Convex Optimization, by Changyu Gao et al.
Summary of Entropy-regularized Process Reward Model, by Hanning Zhang et al.
Summary of Promptv: Leveraging Llm-powered Multi-agent Prompting For High-quality Verilog Generation, by Zhendong Mi and Renming Zheng and Haowen Zhong and Yue Sun and Shaoyi Huang
Summary of A Contextualized Bert Model For Knowledge Graph Completion, by Haji Gul et al.
Summary of On Distilling the Displacement Knowledge For Few-shot Class-incremental Learning, by Pengfei Fang et al.
Summary of Exploring Diffusion and Flow Matching Under Generator Matching, by Zeeshan Patel et al.
Summary of Disco-dso: Coupling Discrete and Continuous Optimization For Efficient Generative Design in Hybrid Spaces, by Jacob F. Pettit et al.
Summary of Understanding and Mitigating Memorization in Diffusion Models For Tabular Data, by Zhengyu Fang et al.
Summary of Scaling Up Graph Propagation Computation on Large Graphs: a Local Chebyshev Approximation Approach, by Yichun Yang et al.
Summary of Auctionnet: a Novel Benchmark For Decision-making in Large-scale Games, by Kefan Su et al.
Summary of Diffusion-based Method For Satellite Pattern-of-life Identification, by Yongchao Ye et al.
Summary of Diffusion Model From Scratch, by Wang Zhen and Dong Yunyun
Summary of Fingpt: Enhancing Sentiment-based Stock Movement Prediction with Dissemination-aware and Context-enriched Llms, by Yixuan Liang et al.
Summary of A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks, by Edward Pearce-crump et al.
Summary of Improving Graph Neural Networks Via Adversarial Robustness Evaluation, by Yongyu Wang
Summary of Large Language Models For Medical Forecasting — Foresight 2, by Zeljko Kraljevic et al.
Summary of Duet: Dual Clustering Enhanced Multivariate Time Series Forecasting, by Xiangfei Qiu et al.
Summary of Rwkv-lite: Deeply Compressed Rwkv For Resource-constrained Devices, by Wonkyo Choe et al.
Summary of Fully Test-time Adaptation For Tabular Data, by Zhi Zhou et al.
Summary of Adaptive Quantization Resolution and Power Control For Federated Learning Over Cell-free Networks, by Afsaneh Mahmoudi et al.
Summary of Zigzag Diffusion Sampling: Diffusion Models Can Self-improve Via Self-reflection, by Lichen Bai et al.
Summary of Know Unreported Roadway Incidents in Real-time: a Deep Learning Framework For Early Traffic Anomaly Detection, by Haocheng Duan et al.
Summary of Multi-class and Multi-task Strategies For Neural Directed Link Prediction, by Claudio Moroni et al.
Summary of Bggpt 1.0: Extending English-centric Llms to Other Languages, by Anton Alexandrov et al.
Summary of Task Diversity in Bayesian Federated Learning: Simultaneous Processing Of Classification and Regression, by Junliang Lyu et al.
Summary of Exploring Grokking: Experimental and Mechanistic Investigations, by Hu Qiye et al.
Summary of Pearl: Input-agnostic Prompt Enhancement with Negative Feedback Regulation For Class-incremental Learning, by Yongchun Qin et al.
Summary of Susgen-gpt: a Data-centric Llm For Financial Nlp and Sustainability Report Generation, by Qilong Wu et al.
Summary of Thinking with Knowledge Graphs: Enhancing Llm Reasoning Through Structured Data, by Xue Wu and Kostas Tsioutsiouliklis
Summary of Meatrd: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics, by Kaichen Xu et al.
Summary of Memory-efficient 4-bit Preconditioned Stochastic Optimization, by Jingyang Li et al.
Summary of Structured Sampling For Robust Euclidean Distance Geometry, by Chandra Kundu et al.
Summary of Proposing and Solving Olympiad Geometry with Guided Tree Search, by Chi Zhang et al.
Summary of Fairgp: a Scalable and Fair Graph Transformer Using Graph Partitioning, by Renqiang Luo et al.
Summary of Linked Adapters: Linking Past and Future to Present For Effective Continual Learning, by Dupati Srikar Chandra et al.
Summary of Control Of Overfitting with Physics, by Sergei V. Kozyrev et al.
Summary of Rat: Adversarial Attacks on Deep Reinforcement Agents For Targeted Behaviors, by Fengshuo Bai et al.
Summary of Doubly-bounded Queue For Constrained Online Learning: Keeping Pace with Dynamics Of Both Loss and Constraint, by Juncheng Wang et al.
Summary of Hep-nas: Towards Efficient Few-shot Neural Architecture Search Via Hierarchical Edge Partitioning, by Jianfeng Li et al.
Summary of Noisyeqa: Benchmarking Embodied Question Answering Against Noisy Queries, by Tao Wu et al.
Summary of Regmixmatch: Optimizing Mixup Utilization in Semi-supervised Learning, by Haorong Han et al.
Summary of Neuralplexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models, by Zhuoran Qiao et al.
Summary of A Pioneering Neural Network Method For Efficient and Robust Fluid Simulation, by Yu Chen et al.
Summary of P-mean Regret For Stochastic Bandits, by Anand Krishna et al.
Summary of Explainable Fuzzy Neural Network with Multi-fidelity Reinforcement Learning For Micro-architecture Design Space Exploration, by Hanwei Fan et al.
Summary of Damage Assessment After Natural Disasters with Uavs: Semantic Feature Extraction Using Deep Learning, by Nethmi S. Hewawiththi et al.
Summary of Continual Learning For Behavior-based Driver Identification, by Mattia Fanan et al.
Summary of Anagram: a Natural Gradient Relative to Adapted Model For Efficient Pinns Learning, by Nilo Schwencke et al.
Summary of Conclad: Continuous Novel Class Detector, by Amanda Rios et al.
Summary of A Hybrid Real-time Framework For Efficient Fussell-vesely Importance Evaluation Using Virtual Fault Trees and Graph Neural Networks, by Xingyu Xiao et al.
Summary of Safetydpo: Scalable Safety Alignment For Text-to-image Generation, by Runtao Liu et al.
Summary of Snapgen-v: Generating a Five-second Video Within Five Seconds on a Mobile Device, by Yushu Wu et al.
Summary of Extracting Pac Decision Trees From Black Box Binary Classifiers: the Gender Bias Study Case on Bert-based Language Models, by Ana Ozaki et al.
Summary of Do Large Language Models Show Biases in Causal Learning?, by Maria Victoria Carro et al.
Summary of Solving the Inverse Alignment Problem For Efficient Rlhf, by Shambhavi Krishna et al.
Summary of Higher Order Transformers: Enhancing Stock Movement Prediction on Multimodal Time-series Data, by Soroush Omranpour et al.
Summary of Ragserve: Fast Quality-aware Rag Systems with Configuration Adaptation, by Siddhant Ray et al.
Summary of Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams, by Brandon Gower-winter et al.
Summary of Too Big to Fool: Resisting Deception in Language Models, by Mohammad Reza Samsami et al.
Summary of Edge Ai-based Radio Frequency Fingerprinting For Iot Networks, by Ahmed Mohamed Hussain et al.
Summary of Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-generation Neural Networks, by Giorgio Morales et al.
Summary of Exechecker: Where Did I Go Wrong?, by Yiwen Gu et al.
Summary of Towards Unified Benchmark and Models For Multi-modal Perceptual Metrics, by Sara Ghazanfari et al.
Summary of Wavegnn: Modeling Irregular Multivariate Time Series For Accurate Predictions, by Arash Hajisafi et al.
Summary of Hybrid Preference Optimization For Alignment: Provably Faster Convergence Rates by Combining Offline Preferences with Online Exploration, By Avinandan Bose et al.