Paper List

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Summary of Timesieve: Extracting Temporal Dynamics Through Information Bottlenecks, by Ninghui Feng et al.
Summary of Efficient 3d Shape Generation Via Diffusion Mamba with Bidirectional Ssms, by Shentong Mo
Summary of A Tensor Decomposition Perspective on Second-order Rnns, by Maude Lizaire et al.
Summary of M2no: Multiresolution Operator Learning with Multiwavelet-based Algebraic Multigrid Method, by Zhihao Li and Zhilu Lai and Xiaobo Zhang and Wei Wang
Summary of Skill-aware Mutual Information Optimisation For Generalisation in Reinforcement Learning, by Xuehui Yu et al.
Summary of Graph Mining Under Data Scarcity, by Appan Rakaraddi et al.
Summary of Funbo: Discovering Acquisition Functions For Bayesian Optimization with Funsearch, by Virginia Aglietti et al.
Summary of Primitive Agentic First-order Optimization, by R. Sala
Summary of Auditing Differential Privacy Guarantees Using Density Estimation, by Antti Koskela and Jafar Mohammadi
Summary of Variational Flow Matching For Graph Generation, by Floor Eijkelboom et al.
Summary of Fedllm-bench: Realistic Benchmarks For Federated Learning Of Large Language Models, by Rui Ye et al.
Summary of Multi-view Stochastic Block Models, by Vincent Cohen-addad et al.
Summary of Ctbench: a Library and Benchmark For Certified Training, by Yuhao Mao et al.
Summary of Deep Learning For Precipitation Nowcasting: a Survey From the Perspective Of Time Series Forecasting, by Sojung An et al.
Summary of Perturb-and-project: Differentially Private Similarities and Marginals, by Vincent Cohen-addad et al.
Summary of Enhancing Indoor Temperature Forecasting Through Synthetic Data in Low-data Environments, by Zachari Thiry et al.
Summary of Diversified Batch Selection For Training Acceleration, by Feng Hong et al.
Summary of From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning, by Moritz Lampert et al.
Summary of Stabilizing Extreme Q-learning by Maclaurin Expansion, By Motoki Omura et al.
Summary of Concept Drift Detection Using Ensemble Of Integrally Private Models, by Ayush K. Varshney et al.
Summary of Polylut-add: Fpga-based Lut Inference with Wide Inputs, by Binglei Lou et al.
Summary of Online Adaptation For Enhancing Imitation Learning Policies, by Federico Malato et al.
Summary of Submodular Framework For Structured-sparse Optimal Transport, by Piyushi Manupriya and Pratik Jawanpuria and Karthik S. Gurumoorthy and Sakethanath Jagarlapudi and Bamdev Mishra
Summary of Crafting Heavy-tails in Weight Matrix Spectrum Without Gradient Noise, by Vignesh Kothapalli et al.
Summary of Logicode: An Llm-driven Framework For Logical Anomaly Detection, by Yiheng Zhang et al.
Summary of Higher-order Structure Based Anomaly Detection on Attributed Networks, by Xu Yuan et al.
Summary of Marking the Pace: a Blockchain-enhanced Privacy-traceable Strategy For Federated Recommender Systems, by Zhen Cai et al.
Summary of Winner-takes-all Learners Are Geometry-aware Conditional Density Estimators, by Victor Letzelter (ltci et al.
Summary of Condiff: a Challenging Dataset For Neural Solvers Of Partial Differential Equations, by Vladislav Trifonov et al.
Summary of Flowmm: Generating Materials with Riemannian Flow Matching, by Benjamin Kurt Miller et al.
Summary of On Minimizing Adversarial Counterfactual Error in Adversarial Rl, by Roman Belaire et al.
Summary of Mmpolymer: a Multimodal Multitask Pretraining Framework For Polymer Property Prediction, by Fanmeng Wang et al.
Summary of When Swarm Learning Meets Energy Series Data: a Decentralized Collaborative Learning Design Based on Blockchain, by Lei Xu et al.
Summary of Confidence-aware Contrastive Learning For Selective Classification, by Yu-chang Wu et al.
Summary of Pqpp: a Joint Benchmark For Text-to-image Prompt and Query Performance Prediction, by Eduard Poesina et al.
Summary of Reinforcement Learning and Regret Bounds For Admission Control, by Lucas Weber et al.
Summary of Rep: Resource-efficient Prompting For Rehearsal-free Continual Learning, by Sungho Jeon et al.
Summary of Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks, by Joel Oskarsson et al.
Summary of Modeling Temporal Dependencies Within the Target For Long-term Time Series Forecasting, by Qi Xiong et al.
Summary of Predictive Dynamic Fusion, by Bing Cao et al.
Summary of Mobile Network Configuration Recommendation Using Deep Generative Graph Neural Network, by Shirwan Piroti et al.
Summary of Generating Piano Practice Policy with a Gaussian Process, by Alexandra Moringen et al.
Summary of Lifelong Learning Of Video Diffusion Models From a Single Video Stream, by Jason Yoo et al.
Summary of Gnnanatomy: Systematic Generation and Evaluation Of Multi-level Explanations For Graph Neural Networks, by Hsiao-ying Lu et al.
Summary of Concurrent Training and Layer Pruning Of Deep Neural Networks, by Valentin Frank Ingmar Guenter and Athanasios Sideris
Summary of Improving Geo-diversity Of Generated Images with Contextualized Vendi Score Guidance, by Reyhane Askari Hemmat et al.
Summary of On Pi Controllers For Updating Lagrange Multipliers in Constrained Optimization, by Motahareh Sohrabi et al.
Summary of Sparc and Sparp: Spatial Reasoning Characterization and Path Generation For Understanding Spatial Reasoning Capability Of Large Language Models, by Md Imbesat Hassan Rizvi et al.
Summary of Error Bounds Of Supervised Classification From Information-theoretic Perspective, by Binchuan Qi
Summary of Optimization Of Geological Carbon Storage Operations with Multimodal Latent Dynamic Model and Deep Reinforcement Learning, by Zhongzheng Wang et al.
Summary of Clog: Benchmarking Continual Learning Of Image Generation Models, by Haotian Zhang and Junting Zhou and Haowei Lin and Hang Ye and Jianhua Zhu and Zihao Wang and Liangcai Gao and Yizhou Wang and Yitao Liang
Summary of Federated Representation Learning in the Under-parameterized Regime, by Renpu Liu et al.
Summary of Enhancing Size Generalization in Graph Neural Networks Through Disentangled Representation Learning, by Zheng Huang et al.
Summary of Diverse Intra- and Inter-domain Activity Style Fusion For Cross-person Generalization in Activity Recognition, by Junru Zhang et al.
Summary of Helpful or Harmful Data? Fine-tuning-free Shapley Attribution For Explaining Language Model Predictions, by Jingtan Wang et al.
Summary of Contrastive Explainable Clustering with Differential Privacy, by Dung Nguyen et al.
Summary of Faithful and Accurate Self-attention Attribution For Message Passing Neural Networks Via the Computation Tree Viewpoint, by Yong-min Shin et al.
Summary of Ctsyn: a Foundational Model For Cross Tabular Data Generation, by Xiaofeng Lin et al.
Summary of Adaptive Interface-pinns (adai-pinns): An Efficient Physics-informed Neural Networks Framework For Interface Problems, by Sumanta Roy et al.
Summary of Image Processing Based Forest Fire Detection, by Vipin V
Summary of Denoising-aware Contrastive Learning For Noisy Time Series, by Shuang Zhou et al.
Summary of Cooperative Meta-learning with Gradient Augmentation, by Jongyun Shin et al.
Summary of Linkgpt: Teaching Large Language Models to Predict Missing Links, by Zhongmou He et al.
Summary of On Regularization Via Early Stopping For Least Squares Regression, by Rishi Sonthalia and Jackie Lok and Elizaveta Rebrova
Summary of Detra: a Unified Model For Object Detection and Trajectory Forecasting, by Sergio Casas et al.
Summary of Clipping Improves Adam-norm and Adagrad-norm When the Noise Is Heavy-tailed, by Savelii Chezhegov et al.
Summary of Can Language Models Use Forecasting Strategies?, by Sarah Pratt et al.
Summary of On the Hardness Of Probabilistic Neurosymbolic Learning, by Jaron Maene et al.
Summary of A Multi-core Periphery Perspective: Ranking Via Relative Centrality, by Chandra Sekhar Mukherjee et al.
Summary of Provable Bounds on the Hessian Of Neural Networks: Derivative-preserving Reachability Analysis, by Sina Sharifi et al.
Summary of Promptfix: Few-shot Backdoor Removal Via Adversarial Prompt Tuning, by Tianrong Zhang et al.
Summary of User Intent Recognition and Semantic Cache Optimization-based Query Processing Framework Using Cflis and Mgr-lau, by Sakshi Mahendru
Summary of Negative Feedback For Music Personalization, by M. Jeffrey Mei et al.
Summary of Time Sensitive Knowledge Editing Through Efficient Finetuning, by Xiou Ge et al.
Summary of Online Joint Fine-tuning Of Multi-agent Flows, by Paul Mineiro
Summary of Occam: Towards Cost-efficient and Accuracy-aware Classification Inference, by Dujian Ding et al.
Summary of Multifidelity Digital Twin For Real-time Monitoring Of Structural Dynamics in Aquaculture Net Cages, by Eirini Katsidoniotaki et al.
Summary of Proofread: Fixes All Errors with One Tap, by Renjie Liu et al.
Summary of Rare Class Prediction Model For Smart Industry in Semiconductor Manufacturing, by Abdelrahman Farrag et al.
Summary of Generative Assignment Flows For Representing and Learning Joint Distributions Of Discrete Data, by Bastian Boll et al.
Summary of Tangent Differential Privacy, by Lexing Ying
Summary of Strategically Conservative Q-learning, by Yutaka Shimizu et al.
Summary of Food: Facial Authentication and Out-of-distribution Detection with Short-range Fmcw Radar, by Sabri Mustafa Kahya et al.
Summary of Improving Alignment and Robustness with Circuit Breakers, by Andy Zou et al.
Summary of Adaptive Sampling Of K-space in Magnetic Resonance For Rapid Pathology Prediction, by Chen-yu Yen et al.
Summary of Regularized Kl-divergence For Well-defined Function-space Variational Inference in Bayesian Neural Networks, by Tristan Cinquin and Robert Bamler
Summary of Chimera: Effectively Modeling Multivariate Time Series with 2-dimensional State Space Models, by Ali Behrouz and Michele Santacatterina and Ramin Zabih
Summary of Vidmuse: a Simple Video-to-music Generation Framework with Long-short-term Modeling, by Zeyue Tian et al.
Summary of Causal Estimation Of Memorisation Profiles, by Pietro Lesci et al.
Summary of Atradiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories, by Qianlan Yang et al.
Summary of The Brain’s Bitter Lesson: Scaling Speech Decoding with Self-supervised Learning, by Dulhan Jayalath et al.
Summary of Pace: Parsimonious Concept Engineering For Large Language Models, by Jinqi Luo et al.
Summary of Simplified and Generalized Masked Diffusion For Discrete Data, by Jiaxin Shi et al.
Summary of Coarse-to-fine Tensor Trains For Compact Visual Representations, by Sebastian Loeschcke et al.
Summary of On the Expressive Power Of Spectral Invariant Graph Neural Networks, by Bohang Zhang et al.
Summary of Verbalized Machine Learning: Revisiting Machine Learning with Language Models, by Tim Z. Xiao et al.
Summary of Use Of a Multiscale Vision Transformer to Predict Nursing Activities Score From Low Resolution Thermal Videos in An Intensive Care Unit, by Isaac Yl Lee et al.
Summary of Large Language Model Confidence Estimation Via Black-box Access, by Tejaswini Pedapati et al.
Summary of Tidmad: Time Series Dataset For Discovering Dark Matter with Ai Denoising, by J. T. Fry et al.
Summary of Why Has Predicting Downstream Capabilities Of Frontier Ai Models with Scale Remained Elusive?, by Rylan Schaeffer et al.