Paper List

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Summary of Generalizable and Robust Spectral Method For Multi-view Representation Learning, by Amitai Yacobi et al.
Summary of Training Compute-optimal Protein Language Models, by Xingyi Cheng et al.
Summary of Theoretical Characterisation Of the Gauss-newton Conditioning in Neural Networks, by Jim Zhao et al.
Summary of Le-pde++: Mamba For Accelerating Pdes Simulations, by Aoming Liang et al.
Summary of Fppl: An Efficient and Non-iid Robust Federated Continual Learning Framework, by Yuchen He et al.
Summary of Exploring the Landscape For Generative Sequence Models For Specialized Data Synthesis, by Mohammad Zbeeb et al.
Summary of Differentially Private and Decentralized Randomized Power Method, by Julien Nicolas et al.
Summary of Exagree: Towards Explanation Agreement in Explainable Machine Learning, by Sichao Li et al.
Summary of Unsegmedgat: Unsupervised Medical Image Segmentation Using Graph Attention Networks Clustering, by A. Mudit Adityaja et al.
Summary of N-gram Induction Heads For In-context Rl: Improving Stability and Reducing Data Needs, by Ilya Zisman et al.
Summary of Learning Controlled Stochastic Differential Equations, by Luc Brogat-motte et al.
Summary of Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance, by Charles Camboulin et al.
Summary of Ask, and It Shall Be Given: on the Turing Completeness Of Prompting, by Ruizhong Qiu et al.
Summary of Local Loss Optimization in the Infinite Width: Stable Parameterization Of Predictive Coding Networks and Target Propagation, by Satoki Ishikawa et al.
Summary of Against Multifaceted Graph Heterogeneity Via Asymmetric Federated Prompt Learning, by Zhuoning Guo et al.
Summary of Culinary Class Wars: Evaluating Llms Using Ash in Cuisine Transfer Task, by Hoonick Lee et al.
Summary of Optimal Classification Under Performative Distribution Shift, by Edwige Cyffers (magnet) et al.
Summary of Theory-inspired Label Shift Adaptation Via Aligned Distribution Mixture, by Ruidong Fan et al.
Summary of Addressing Representation Collapse in Vector Quantized Models with One Linear Layer, by Yongxin Zhu et al.
Summary of R+r:understanding Hyperparameter Effects in Dp-sgd, by Felix Morsbach et al.
Summary of Tablegpt2: a Large Multimodal Model with Tabular Data Integration, by Aofeng Su et al.
Summary of Intrinsic Dimensionality Of Fermi-pasta-ulam-tsingou High-dimensional Trajectories Through Manifold Learning, by Gionni Marchetti
Summary of Scalable Efficient Training Of Large Language Models with Low-dimensional Projected Attention, by Xingtai Lv et al.
Summary of Show, Don’t Tell: Learning Reward Machines From Demonstrations For Reinforcement Learning-based Cardiac Pacemaker Synthesis, by John Komp et al.
Summary of A Theoretical Characterization Of Optimal Data Augmentations in Self-supervised Learning, by Shlomo Libo Feigin et al.
Summary of Clustering Based on Density Propagation and Subcluster Merging, by Feiping Nie et al.
Summary of Thinking Forward and Backward: Effective Backward Planning with Large Language Models, by Allen Z. Ren et al.
Summary of Fast Semi-supervised Learning on Large Graphs: An Improved Green-function Method, by Feiping Nie et al.
Summary of Salsa: Soup-based Alignment Learning For Stronger Adaptation in Rlhf, by Atoosa Chegini et al.
Summary of Expanding Sparse Tuning For Low Memory Usage, by Shufan Shen et al.
Summary of Bootstrapping Top-down Information For Self-modulating Slot Attention, by Dongwon Kim et al.
Summary of Fixing the Loose Brake: Exponential-tailed Stopping Time in Best Arm Identification, by Kapilan Balagopalan et al.
Summary of High-pass Graph Convolutional Network For Enhanced Anomaly Detection: a Novel Approach, by Shelei Li et al.
Summary of Shrinking the Giant : Quasi-weightless Transformers For Low Energy Inference, by Shashank Nag et al.
Summary of Fedrema: Improving Personalized Federated Learning Via Leveraging the Most Relevant Clients, by Han Liang et al.
Summary of Formal Theorem Proving by Rewarding Llms to Decompose Proofs Hierarchically, By Kefan Dong et al.
Summary of Leveraging Label Semantics and Meta-label Refinement For Multi-label Question Classification, by Shi Dong and Xiaobei Niu and Rui Zhong and Zhifeng Wang and Mingzhang Zuo
Summary of Owmatch: Conditional Self-labeling with Consistency For Open-world Semi-supervised Learning, by Shengjie Niu et al.
Summary of Elastst: Towards Robust Varied-horizon Forecasting with Elastic Time-series Transformer, by Jiawen Zhang et al.
Summary of Manibox: Enhancing Spatial Grasping Generalization Via Scalable Simulation Data Generation, by Hengkai Tan et al.
Summary of Metoken: Uniform Micro-environment Token Boosts Post-translational Modification Prediction, by Cheng Tan et al.
Summary of Causal Discovery and Classification Using Lempel-ziv Complexity, by Dhruthi et al.
Summary of Best-arm Identification in Unimodal Bandits, by Riccardo Poiani et al.
Summary of Gitsr: Graph Interaction Transformer-based Scene Representation For Multi Vehicle Collaborative Decision-making, by Xingyu Hu et al.
Summary of Counterfactual Explainability Of Black-box Prediction Models, by Zijun Gao and Qingyuan Zhao
Summary of Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-scale Complexity, by Tengyuan Liang et al.
Summary of Multiclass Transductive Online Learning, by Steve Hanneke et al.
Summary of Lorentz-equivariant Quantum Graph Neural Network For High-energy Physics, by Md Abrar Jahin et al.
Summary of Quantum Rationale-aware Graph Contrastive Learning For Jet Discrimination, by Md Abrar Jahin et al.
Summary of Achieving Domain-independent Certified Robustness Via Knowledge Continuity, by Alan Sun et al.
Summary of Diagnosing Medical Datasets with Training Dynamics, by Laura Wenderoth
Summary of Enriching Tabular Data with Contextual Llm Embeddings: a Comprehensive Ablation Study For Ensemble Classifiers, by Gjergji Kasneci and Enkelejda Kasneci
Summary of Unlocking the Theory Behind Scaling 1-bit Neural Networks, by Majid Daliri et al.
Summary of Graphxform: Graph Transformer For Computer-aided Molecular Design with Application to Extraction, by Jonathan Pirnay et al.
Summary of Robust Neural Processes For Noisy Data, by Chen Shapira et al.
Summary of Mitigating Matching Biases Through Score Calibration, by Mohammad Hossein Moslemi et al.
Summary of Uniguard: Towards Universal Safety Guardrails For Jailbreak Attacks on Multimodal Large Language Models, by Sejoon Oh et al.
Summary of Conformal Risk Minimization with Variance Reduction, by Sima Noorani et al.
Summary of Rethinking Weight Decay For Robust Fine-tuning Of Foundation Models, by Junjiao Tian et al.
Summary of A General Recipe For Contractive Graph Neural Networks — Technical Report, by Maya Bechler-speicher and Moshe Eliasof
Summary of 1st-order Magic: Analysis Of Sharpness-aware Minimization, by Nalin Tiwary and Siddarth Aananth
Summary of Learning From Convolution-based Unlearnable Datastes, by Dohyun Kim et al.
Summary of Mitigating Spurious Correlations Via Disagreement Probability, by Hyeonggeun Han et al.
Summary of Dpcl-diff: the Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-domain Periodic Contrastive Learning, by Yukun Cao et al.
Summary of Anomalous Client Detection in Federated Learning, by Dipanwita Thakur et al.
Summary of Sample-efficient Alignment For Llms, by Zichen Liu et al.
Summary of Dsde: Using Proportion Estimation to Improve Model Selection For Out-of-distribution Detection, by Jingyao Geng et al.
Summary of Facedig: Automated Tool For Placing Landmarks on Facial Portraits For Geometric Morphometrics Users, by Karel Kleisner et al.
Summary of Diversity Progress For Goal Selection in Discriminability-motivated Rl, by Erik M. Lintunen et al.
Summary of Performance Evaluation Of Deep Learning Models For Water Quality Index Prediction: a Comparative Study Of Lstm, Tcn, Ann, and Mlp, by Muhammad Ismail et al.
Summary of Sparc: Spectral Architectures Tackling the Cold-start Problem in Graph Learning, by Yahel Jacobs et al.
Summary of Enhancing Llm Evaluations: the Garbling Trick, by William F. Bradley
Summary of Customized Subgraph Selection and Encoding For Drug-drug Interaction Prediction, by Haotong Du et al.
Summary of Llms and the Madness Of Crowds, by William F. Bradley
Summary of Decoupling Dark Knowledge Via Block-wise Logit Distillation For Feature-level Alignment, by Chengting Yu et al.
Summary of Analysis Of Regularized Federated Learning, by Langming Liu and Dingxuan Zhou
Summary of Adaptive Conformal Inference by Particle Filtering Under Hidden Markov Models, By Xiaoyi Su et al.
Summary of Conditional Controllable Image Fusion, by Bing Cao et al.
Summary of Decision Trees For Interpretable Clusters in Mixture Models and Deep Representations, by Maximilian Fleissner et al.
Summary of Federated Learning Clients Clustering with Adaptation to Data Drifts, by Minghao Li (1) et al.
Summary of Strategic Conformal Prediction, by Daniel Csillag et al.
Summary of Graph Fourier Neural Odes: Modeling Spatial-temporal Multi-scales in Molecular Dynamics, by Fang Sun et al.
Summary of Filternet: Harnessing Frequency Filters For Time Series Forecasting, by Kun Yi et al.
Summary of Can Large Language Model Predict Employee Attrition?, by Xiaoye Ma et al.
Summary of Use Digital Twins to Support Fault Diagnosis From System-level Condition-monitoring Data, by Killian Mc Court et al.
Summary of Waka: Data Attribution Using K-nearest Neighbors and Membership Privacy Principles, by Patrick Mesana et al.
Summary of Network Causal Effect Estimation in Graphical Models Of Contagion and Latent Confounding, by Yufeng Wu et al.
Summary of Learning with Hidden Factorial Structure, by Charles Arnal et al.
Summary of Exploring the Edges Of Latent State Clusters For Goal-conditioned Reinforcement Learning, by Yuanlin Duan et al.
Summary of Multi-channel Hypergraph Contrastive Learning For Matrix Completion, by Xiang Li et al.
Summary of Hyperbox Mixture Regression For Process Performance Prediction in Antibody Production, by Ali Nik-khorasani et al.
Summary of Classifier-guided Gradient Modulation For Enhanced Multimodal Learning, by Zirun Guo et al.
Summary of Pagerank Bandits For Link Prediction, by Yikun Ban et al.
Summary of Enhancing Glucose Level Prediction Of Icu Patients Through Hierarchical Modeling Of Irregular Time-series, by Hadi Mehdizavareh et al.
Summary of Psformer: Parameter-efficient Transformer with Segment Attention For Time Series Forecasting, by Yanlong Wang et al.
Summary of Learning Hidden Subgoals Under Temporal Ordering Constraints in Reinforcement Learning, by Duo Xu et al.
Summary of Efficient Deep Learning Infrastructures For Embedded Computing Systems: a Comprehensive Survey and Future Envision, by Xiangzhong Luo et al.
Summary of Hobbit: a Mixed Precision Expert Offloading System For Fast Moe Inference, by Peng Tang et al.
Summary of Privacy-preserving Customer Churn Prediction Model in the Context Of Telecommunication Industry, by Joydeb Kumar Sana et al.
Summary of Online Relational Inference For Evolving Multi-agent Interacting Systems, by Beomseok Kang et al.