Paper List

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Summary of Radial Basis Operator Networks, by Jason Kurz and Sean Oughton and Shitao Liu
Summary of The Optimization Landscape Of Sgd Across the Feature Learning Strength, by Alexander Atanasov et al.
Summary of Graph Fourier Neural Kernels (g-funk): Learning Solutions Of Nonlinear Diffusive Parametric Pdes on Multiple Domains, by Shane E. Loeffler et al.
Summary of Gradient Routing: Masking Gradients to Localize Computation in Neural Networks, by Alex Cloud et al.
Summary of Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning, by Quyen Tran et al.
Summary of Deeponet For Solving Nonlinear Partial Differential Equations with Physics-informed Training, by Yahong Yang
Summary of Videoguide: Improving Video Diffusion Models Without Training Through a Teacher’s Guide, by Dohun Lee et al.
Summary of Latent Feature Mining For Predictive Model Enhancement with Large Language Models, by Bingxuan Li et al.
Summary of Algorithmic Capabilities Of Random Transformers, by Ziqian Zhong et al.
Summary of Graded Suspiciousness Of Adversarial Texts to Human, by Shakila Mahjabin Tonni et al.
Summary of Data Distribution Valuation, by Xinyi Xu et al.
Summary of Geometric Analysis Of Reasoning Trajectories: a Phase Space Approach to Understanding Valid and Invalid Multi-hop Reasoning in Llms, by Javier Marin
Summary of Disentangling Regional Primitives For Image Generation, by Zhengting Chen et al.
Summary of Attention Shift: Steering Ai Away From Unsafe Content, by Shivank Garg and Manyana Tiwari
Summary of Timebridge: Non-stationarity Matters For Long-term Time Series Forecasting, by Peiyuan Liu et al.
Summary of An Attention-based Algorithm For Gravity Adaptation Zone Calibration, by Chen Yu
Summary of A Comprehensive Framework For Analyzing the Convergence Of Adam: Bridging the Gap with Sgd, by Ruinan Jin et al.
Summary of Improved Off-policy Reinforcement Learning in Biological Sequence Design, by Hyeonah Kim et al.
Summary of Revisiting In-context Learning Inference Circuit in Large Language Models, by Hakaze Cho et al.
Summary of Tensor-train Point Cloud Compression and Efficient Approximate Nearest-neighbor Search, by Georgii Novikov et al.
Summary of Grokking at the Edge Of Linear Separability, by Alon Beck et al.
Summary of Interpret Your Decision: Logical Reasoning Regularization For Generalization in Visual Classification, by Zhaorui Tan et al.
Summary of Adamemento: Adaptive Memory-assisted Policy Optimization For Reinforcement Learning, by Renye Yan et al.
Summary of Improving Generalization with Flat Hilbert Bayesian Inference, by Tuan Truong et al.
Summary of Learning on Loras: Gl-equivariant Processing Of Low-rank Weight Spaces For Large Finetuned Models, by Theo Putterman et al.
Summary of Equivariant Neural Functional Networks For Transformers, by Viet-hoang Tran et al.
Summary of Functional Homotopy: Smoothing Discrete Optimization Via Continuous Parameters For Llm Jailbreak Attacks, by Zi Wang et al.
Summary of Equivariant Polynomial Functional Networks, by Thieu N. Vo et al.
Summary of Sgd with Memory: Fundamental Properties and Stochastic Acceleration, by Dmitry Yarotsky et al.
Summary of Overview Of Factify5wqa: Fact Verification Through 5w Question-answering, by Suryavardan Suresh and Anku Rani and Parth Patwa and Aishwarya Reganti and Vinija Jain and Aman Chadha and Amitava Das and Amit Sheth and Asif Ekbal
Summary of Towards the Best Solution For Complex System Reliability: Can Statistics Outperform Machine Learning?, by Maria Luz Gamiz et al.
Summary of Enhancing Future Link Prediction in Quantum Computing Semantic Networks Through Llm-initiated Node Features, by Gilchan Park et al.
Summary of Improving Distribution Alignment with Diversity-based Sampling, by Andrea Napoli et al.
Summary of Defog: Discrete Flow Matching For Graph Generation, by Yiming Qin et al.
Summary of Visualising Feature Learning in Deep Neural Networks by Diagonalizing the Forward Feature Map, By Yoonsoo Nam et al.
Summary of Fundamental Limitations on Subquadratic Alternatives to Transformers, by Josh Alman et al.
Summary of Language Model-driven Data Pruning Enables Efficient Active Learning, by Abdul Hameed Azeemi et al.
Summary of Applying Hybrid Graph Neural Networks to Strengthen Credit Risk Analysis, by Mengfang Sun et al.
Summary of Unveiling the Impact Of Local Homophily on Gnn Fairness: In-depth Analysis and New Benchmarks, by Donald Loveland et al.
Summary of Black Boxes and Looking Glasses: Multilevel Symmetries, Reflection Planes, and Convex Optimization in Deep Networks, by Emi Zeger and Mert Pilanci
Summary of Self-supervised Anomaly Detection in the Wild: Favor Joint Embeddings Methods, by Daniel Otero et al.
Summary of Integrating Physics-informed Deep Learning and Numerical Methods For Robust Dynamics Discovery and Parameter Estimation, by Caitlin Ho et al.
Summary of Calibrating Expressions Of Certainty, by Peiqi Wang et al.
Summary of Is Score Matching Suitable For Estimating Point Processes?, by Haoqun Cao et al.
Summary of Multi-step Time Series Inference Agent For Reasoning and Automated Task Execution, by Wen Ye et al.
Summary of Enhancing Graph Self-supervised Learning with Graph Interplay, by Xinjian Zhao et al.
Summary of Pfedgame — Decentralized Federated Learning Using Game Theory in Dynamic Topology, by Monik Raj Behera et al.
Summary of Text2chart31: Instruction Tuning For Chart Generation with Automatic Feedback, by Fatemeh Pesaran Zadeh et al.
Summary of On Eliciting Syntax From Language Models Via Hashing, by Yiran Wang et al.
Summary of Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-tailed Class Imbalance, by Pankhi Kashyap et al.
Summary of High Probability Bound For Cross-learning Contextual Bandits with Unknown Context Distributions, by Ruiyuan Huang et al.
Summary of Cross-lingual Query-by-example Spoken Term Detection: a Transformer-based Approach, by Allahdadi Fatemeh et al.
Summary of Sinc Kolmogorov-arnold Network and Its Applications on Physics-informed Neural Networks, by Tianchi Yu et al.
Summary of Towards Scalable General Utility Reinforcement Learning: Occupancy Approximation, Sample Complexity and Global Optimality, by Anas Barakat et al.
Summary of Riemann Sum Optimization For Accurate Integrated Gradients Computation, by Swadesh Swain and Shree Singhi
Summary of Rethinking Fair Representation Learning For Performance-sensitive Tasks, by Charles Jones et al.
Summary of An Electrocardiogram Foundation Model Built on Over 10 Million Recordings with External Evaluation Across Multiple Domains, by Jun Li et al.
Summary of Applying Quantum Autoencoders For Time Series Anomaly Detection, by Robin Frehner and Kurt Stockinger
Summary of Conda: Fast Federated Unlearning with Contribution Dampening, by Vikram S Chundawat et al.
Summary of Learning From Negative Feedback, or Positive Feedback or Both, by Abbas Abdolmaleki et al.
Summary of Unsupervised Assessment Of Landscape Shifts Based on Persistent Entropy and Topological Preservation, by Sebastian Basterrech
Summary of Parametric Taylor Series Based Latent Dynamics Identification Neural Networks, by Xinlei Lin and Dunhui Xiao
Summary of Deep Transfer Learning Based Peer Review Aggregation and Meta-review Generation For Scientific Articles, by Md. Tarek Hasan et al.
Summary of Clustering Alzheimer’s Disease Subtypes Via Similarity Learning and Graph Diffusion, by Tianyi Wei et al.
Summary of Uflux V2.0: a Process-informed Machine Learning Framework For Efficient and Explainable Modelling Of Terrestrial Carbon Uptake, by Wenquan Dong et al.
Summary of Oscillatory State-space Models, by T. Konstantin Rusch et al.
Summary of A Brain-inspired Regularizer For Adversarial Robustness, by Elie Attias et al.
Summary of Sda-grin For Adaptive Spatial-temporal Multivariate Time Series Imputation, by Amir Eskandari et al.
Summary of Llm-topla: Efficient Llm Ensemble by Maximising Diversity, By Selim Furkan Tekin et al.
Summary of Swiftkv: Fast Prefill-optimized Inference with Knowledge-preserving Model Transformation, by Aurick Qiao et al.
Summary of Model Developmental Safety: a Retention-centric Method and Applications in Vision-language Models, by Gang Li et al.
Summary of Variational Language Concepts For Interpreting Foundation Language Models, by Hengyi Wang et al.
Summary of Decoding Game: on Minimax Optimality Of Heuristic Text Generation Strategies, by Sijin Chen et al.
Summary of Measuring and Controlling Solution Degeneracy Across Task-trained Recurrent Neural Networks, by Ann Huang et al.
Summary of Efficient Training Of Neural Stochastic Differential Equations by Matching Finite Dimensional Distributions, By Jianxin Zhang et al.
Summary of Learning to Balance: Diverse Normalization For Cloth-changing Person Re-identification, by Hongjun Wang et al.
Summary of Robust Barycenter Estimation Using Semi-unbalanced Neural Optimal Transport, by Milena Gazdieva et al.
Summary of Symmetry From Scratch: Group Equivariance As a Supervised Learning Task, by Haozhe Huang et al.
Summary of Optimizing Sparse Generalized Singular Vectors For Feature Selection in Proximal Support Vector Machines with Application to Breast and Ovarian Cancer Detection, by Ugochukwu O. Ugwu and Michael Kirby
Summary of Fastlrnr and Sparse Physics Informed Backpropagation, by Woojin Cho et al.
Summary of Hyperbolic Fine-tuning For Large Language Models, by Menglin Yang et al.
Summary of Improving Temporal Link Prediction Via Temporal Walk Matrix Projection, by Xiaodong Lu et al.
Summary of Efficient Large-scale Urban Parking Prediction: Graph Coarsening Based on Real-time Parking Service Capability, by Yixuan Wang et al.
Summary of Large Language Models Can Be Strong Self-detoxifiers, by Ching-yun Ko et al.
Summary of Understanding Fine-tuning in Approximate Unlearning: a Theoretical Perspective, by Meng Ding et al.
Summary of Model-based Reward Shaping For Adversarial Inverse Reinforcement Learning in Stochastic Environments, by Simon Sinong Zhan et al.
Summary of Learning Code Preference Via Synthetic Evolution, by Jiawei Liu et al.
Summary of Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood, by Ziyi Liu et al.
Summary of A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy Of Solutions and Directions For Future Research, by Teresa Salazar et al.
Summary of Detecting Machine-generated Long-form Content with Latent-space Variables, by Yufei Tian et al.
Summary of Improving Mapper’s Robustness by Varying Resolution According to Lens-space Density, By Kaleb D. Ruscitti and Leland Mcinnes
Summary of Empowering Domain-specific Language Models with Graph-oriented Databases: a Paradigm Shift in Performance and Model Maintenance, by Ricardo Di Pasquale and Soledad Represa
Summary of Dots: Learning to Reason Dynamically in Llms Via Optimal Reasoning Trajectories Search, by Murong Yue et al.
Summary of A Federated Distributionally Robust Support Vector Machine with Mixture Of Wasserstein Balls Ambiguity Set For Distributed Fault Diagnosis, by Michael Ibrahim et al.
Summary of Disk: Differentially Private Optimizer with Simplified Kalman Filter For Noise Reduction, by Xinwei Zhang et al.
Summary of Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates, by Fabian Akkerman et al.
Summary of Human-aligned Chess with a Bit Of Search, by Yiming Zhang et al.
Summary of Towards Cost Sensitive Decision Making, by Yang Li et al.
Summary of Improving Node Representation by Boosting Target-aware Contrastive Loss, By Ying-chun Lin et al.
Summary of Distribution Guided Active Feature Acquisition, by Yang Li et al.