Paper List

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Summary of Hashing For Protein Structure Similarity Search, by Jin Han et al.
Summary of Towerdebias: a Novel Debiasing Method Based on the Tower Property, by Norman Matloff and Aditya Mittal
Summary of Resolve: Relational Reasoning with Symbolic and Object-level Features Using Vector Symbolic Processing, by Mohamed Mejri et al.
Summary of Kernel-based Retrieval Models For Hyperspectral Image Data Optimized with Kernel Flows, by Zina-sabrina Duma et al.
Summary of Suite-in: Aggregating Motion Features From Apple Suite For Robust Inertial Navigation, by Lan Sun et al.
Summary of Dynamical-vae-based Hindsight to Learn the Causal Dynamics Of Factored-pomdps, by Chao Han et al.
Summary of Frugal: Memory-efficient Optimization by Reducing State Overhead For Scalable Training, By Philip Zmushko et al.
Summary of Evidential Time-to-event Prediction with Calibrated Uncertainty Quantification, by Ling Huang et al.
Summary of Cdxformer: Boosting Remote Sensing Change Detection with Extended Long Short-term Memory, by Zhenkai Wu et al.
Summary of Diverse Capability and Scaling Of Diffusion and Auto-regressive Models When Learning Abstract Rules, by Binxu Wang et al.
Summary of Radioactive: 3d Radiological Interactive Segmentation Benchmark, by Constantin Ulrich and Tassilo Wald and Emily Tempus and Maximilian Rokuss and Paul F. Jaeger and Klaus Maier-hein
Summary of A Stochastic Optimization Framework For Private and Fair Learning From Decentralized Data, by Devansh Gupta et al.
Summary of Doubly Mild Generalization For Offline Reinforcement Learning, by Yixiu Mao et al.
Summary of Learning Memory Mechanisms For Decision Making Through Demonstrations, by William Yue et al.
Summary of Towards Low-bit Communication For Tensor Parallel Llm Inference, by Harry Dong et al.
Summary of Tukey G-and-h Neural Network Regression For Non-gaussian Data, by Arthur P. Guillaumin et al.
Summary of On the Convergence Of Continual Federated Learning Using Incrementally Aggregated Gradients, by Satish Kumar Keshri et al.
Summary of Sleep Staging From Airflow Signals Using Fourier Approximations Of Persistence Curves, by Shashank Manjunath et al.
Summary of Exact, Tractable Gauss-newton Optimization in Deep Reversible Architectures Reveal Poor Generalization, by Davide Buffelli et al.
Summary of Derivational Morphology Reveals Analogical Generalization in Large Language Models, by Valentin Hofmann et al.
Summary of Wavelet Latent Diffusion (wala): Billion-parameter 3d Generative Model with Compact Wavelet Encodings, by Aditya Sanghi et al.
Summary of Leonardo Vindicated: Pythagorean Trees For Minimal Reconstruction Of the Natural Branching Structures, by Dymitr Ruta et al.
Summary of Language Models As Causal Effect Generators, by Lucius E.j. Bynum and Kyunghyun Cho
Summary of Xcg: Explainable Cell Graphs For Survival Prediction in Non-small Cell Lung Cancer, by Marvin Sextro et al.
Summary of Is Graph Convolution Always Beneficial For Every Feature?, by Yilun Zheng et al.
Summary of Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights, by Ammarah Hashmi et al.
Summary of Rethinking Structure Learning For Graph Neural Networks, by Yilun Zheng et al.
Summary of Safe Exploitative Play with Untrusted Type Beliefs, by Tongxin Li et al.
Summary of What Do Learning Dynamics Reveal About Generalization in Llm Reasoning?, by Katie Kang et al.
Summary of Test Where Decisions Matter: Importance-driven Testing For Deep Reinforcement Learning, by Stefan Pranger et al.
Summary of Owled: Outlier-weighed Layerwise Pruning For Efficient Autonomous Driving Framework, by Jiaxi Li et al.
Summary of Convergence Rate Analysis Of Lion, by Yiming Dong et al.
Summary of Spatially Regularized Graph Attention Autoencoder Framework For Detecting Rainfall Extremes, by Mihir Agarwal et al.
Summary of Exploring the Loss Landscape Of Regularized Neural Networks Via Convex Duality, by Sungyoon Kim et al.
Summary of Navigation with Qphil: Quantizing Planner For Hierarchical Implicit Q-learning, by Alexi Canesse et al.
Summary of Aser: Activation Smoothing and Error Reconstruction For Large Language Model Quantization, by Weibo Zhao et al.
Summary of Pointwise Mutual Information As a Performance Gauge For Retrieval-augmented Generation, by Tianyu Liu et al.
Summary of Automatic Album Sequencing, by Vincent Herrmann et al.
Summary of Patchctg: Patch Cardiotocography Transformer For Antepartum Fetal Health Monitoring, by M. Jaleed Khan et al.
Summary of Interaction Asymmetry: a General Principle For Learning Composable Abstractions, by Jack Brady et al.
Summary of Dual-criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality, by Haizhou Zhang et al.
Summary of Efficient Federated Finetuning Of Tiny Transformers with Resource-constrained Devices, by Kilian Pfeiffer et al.
Summary of Federated Low-rank Adaptation with Differential Privacy Over Wireless Networks, by Tianqu Kang et al.
Summary of Mseg-vcuq: Multimodal Segmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification For High-speed Video Phase Detection Data, by Chika Maduabuchi et al.
Summary of Identifyme: a Challenging Long-context Mention Resolution Benchmark, by Kawshik Manikantan et al.
Summary of Machines and Mathematical Mutations: Using Gnns to Characterize Quiver Mutation Classes, by Jesse He et al.
Summary of Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling, by Jinming Xing et al.
Summary of Laurel: Learned Augmented Residual Layer, by Gaurav Menghani et al.
Summary of Quantifying Knowledge Distillation Using Partial Information Decomposition, by Pasan Dissanayake et al.
Summary of Flowts: Time Series Generation Via Rectified Flow, by Yang Hu et al.
Summary of Robust Offline Reinforcement Learning For Non-markovian Decision Processes, by Ruiquan Huang et al.
Summary of Bayesian Deep Learning Approach For Real-time Lane-based Arrival Curve Reconstruction at Intersection Using License Plate Recognition Data, by Yang He et al.
Summary of Collaborative and Federated Black-box Optimization: a Bayesian Optimization Perspective, by Raed Al Kontar
Summary of Model Stealing For Any Low-rank Language Model, by Allen Liu et al.
Summary of Accident Impact Prediction Based on a Deep Convolutional and Recurrent Neural Network Model, by Pouyan Sajadi et al.
Summary of Unraveling the Gradient Descent Dynamics Of Transformers, by Bingqing Song et al.
Summary of Zer0-jack: a Memory-efficient Gradient-based Jailbreaking Method For Black-box Multi-modal Large Language Models, by Tiejin Chen et al.
Summary of Exogenous Randomness Empowering Random Forests, by Tianxing Mei et al.
Summary of Disentangling Tabular Data Towards Better One-class Anomaly Detection, by Jianan Ye et al.
Summary of Entropy Controllable Direct Preference Optimization, by Motoki Omura et al.
Summary of Overcoming the Curse Of Dimensionality in Reinforcement Learning Through Approximate Factorization, by Chenbei Lu et al.
Summary of Circuit Complexity Bounds For Rope-based Transformer Architecture, by Bo Chen et al.
Summary of Exploring Multi-agent Reinforcement Learning For Unrelated Parallel Machine Scheduling, by Maria Zampella et al.
Summary of Comparing Bottom-up and Top-down Steering Approaches on In-context Learning Tasks, by Madeline Brumley et al.
Summary of Add-it: Training-free Object Insertion in Images with Pretrained Diffusion Models, by Yoad Tewel et al.
Summary of Score-based Generative Diffusion with “active” Correlated Noise Sources, by Alexandra Lamtyugina et al.
Summary of Analysis, Forecasting and System Identification Of a Floating Offshore Wind Turbine Using Dynamic Mode Decomposition, by Giorgio Palma et al.
Summary of Deeponet As a Multi-operator Extrapolation Model: Distributed Pretraining with Physics-informed Fine-tuning, by Zecheng Zhang et al.
Summary of Learning From Graph-structured Data: Addressing Design Issues and Exploring Practical Applications in Graph Representation Learning, by Chenqing Hua
Summary of Multi-hop Upstream Anticipatory Traffic Signal Control with Deep Reinforcement Learning, by Xiaocan Li et al.
Summary of Constructing Gaussian Processes Via Samplets, by Marcel Neugebauer
Summary of Artificial Intelligence Ecosystem For Automating Self-directed Teaching, by Tejas Satish Gotavade
Summary of Anomaly Detection in Okta Logs Using Autoencoders, by Jericho Cain et al.
Summary of Richer Output For Richer Countries: Uncovering Geographical Disparities in Generated Stories and Travel Recommendations, by Kirti Bhagat et al.
Summary of Synrl: Aligning Synthetic Clinical Trial Data with Human-preferred Clinical Endpoints Using Reinforcement Learning, by Trisha Das et al.
Summary of Multimodal Fusion Balancing Through Game-theoretic Regularization, by Konstantinos Kontras et al.
Summary of Warmstarting For Scaling Language Models, by Neeratyoy Mallik and Maciej Janowski and Johannes Hog and Herilalaina Rakotoarison and Aaron Klein and Josif Grabocka and Frank Hutter
Summary of Exploring Variational Autoencoders For Medical Image Generation: a Comprehensive Study, by Khadija Rais et al.
Summary of Identifying Differential Patient Care Through Inverse Intent Inference, by Hyewon Jeong et al.
Summary of Federated Learning Client Pruning For Noisy Labels, by Mahdi Morafah et al.
Summary of Odestream: a Buffer-free Online Learning Framework with Ode-based Adaptor For Streaming Time Series Forecasting, by Futoon M.abushaqra et al.
Summary of Comparing Targeting Strategies For Maximizing Social Welfare with Limited Resources, by Vibhhu Sharma et al.
Summary of Predicting Bwr Criticality with Data-driven Machine Learning Model, by Muhammad Rizki Oktavian et al.
Summary of An Interpretable X-ray Style Transfer Via Trainable Local Laplacian Filter, by Dominik Eckert et al.
Summary of Ocmdp: Observation-constrained Markov Decision Process, by Taiyi Wang et al.
Summary of To Train or Not to Train: Balancing Efficiency and Training Cost in Deep Reinforcement Learning For Mobile Edge Computing, by Maddalena Boscaro et al.
Summary of Towards Characterizing Cyber Networks with Large Language Models, by Alaric Hartsock et al.
Summary of Differentially-private Collaborative Online Personalized Mean Estimation, by Yauhen Yakimenka et al.
Summary of Training Neural Networks As Recognizers Of Formal Languages, by Alexandra Butoi and Ghazal Khalighinejad and Anej Svete and Josef Valvoda and Ryan Cotterell and Brian Dusell
Summary of Convmixformer- a Resource-efficient Convolution Mixer For Transformer-based Dynamic Hand Gesture Recognition, by Mallika Garg et al.
Summary of Efficient Adaptive Optimization Via Subset-norm and Subspace-momentum: Fast, Memory-reduced Training with Convergence Guarantees, by Thien Hang Nguyen et al.
Summary of Fast and Robust Contextual Node Representation Learning Over Dynamic Graphs, by Xingzhi Guo et al.
Summary of Edify Image: High-quality Image Generation with Pixel Space Laplacian Diffusion Models, by Nvidia: Yuval Atzmon et al.
Summary of Benchmarking Llms’ Judgments with No Gold Standard, by Shengwei Xu et al.
Summary of Conditional Simulation Via Entropic Optimal Transport: Toward Non-parametric Estimation Of Conditional Brenier Maps, by Ricardo Baptista et al.
Summary of Variational Graph Contrastive Learning, by Shifeng Xie and Jhony H. Giraldo
Summary of Anytime Sequential Halving in Monte-carlo Tree Search, by Dominic Sagers and Mark H.m. Winands and Dennis J.n.j. Soemers
Summary of More Expressive Attention with Negative Weights, by Ang Lv et al.
Summary of Gumbel Counterfactual Generation From Language Models, by Shauli Ravfogel et al.
Summary of Revisiting Ensembling in One-shot Federated Learning, by Youssef Allouah et al.