Paper List

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Summary of Sparsifying Suprema Of Gaussian Processes, by Anindya De and Shivam Nadimpalli and Ryan O’donnell and Rocco A. Servedio
Summary of Recursive Gaussian Process State Space Model, by Tengjie Zheng et al.
Summary of Double Machine Learning For Adaptive Causal Representation in High-dimensional Data, by Lynda Aouar et al.
Summary of Improving Routability Prediction Via Nas Using a Smooth One-shot Augmented Predictor, by Arjun Sridhar et al.
Summary of Layer Pruning with Consensus: a Triple-win Solution, by Leandro Giusti Mugnaini et al.
Summary of Agnostic Learning Of Arbitrary Relu Activation Under Gaussian Marginals, by Anxin Guo et al.
Summary of Logarithmic Neyman Regret For Adaptive Estimation Of the Average Treatment Effect, by Ojash Neopane et al.
Summary of Indiscriminate Disruption Of Conditional Inference on Multivariate Gaussians, by William N. Caballero et al.
Summary of Beyond Training: Dynamic Token Merging For Zero-shot Video Understanding, by Yiming Zhang et al.
Summary of Multimodal Autoregressive Pre-training Of Large Vision Encoders, by Enrico Fini et al.
Summary of Contrasting Local and Global Modeling with Machine Learning and Satellite Data: a Case Study Estimating Tree Canopy Height in African Savannas, by Esther Rolf et al.
Summary of Multi-agent Environments For Vehicle Routing Problems, by Ricardo Gama et al.
Summary of Learning Fair Robustness Via Domain Mixup, by Meiyu Zhong et al.
Summary of From Rnns to Foundation Models: An Empirical Study on Commercial Building Energy Consumption, by Shourya Bose and Yijiang Li and Amy Van Sant and Yu Zhang and Kibaek Kim
Summary of Stable Flow: Vital Layers For Training-free Image Editing, by Omri Avrahami et al.
Summary of Guiding Reinforcement Learning Using Uncertainty-aware Large Language Models, by Maryam Shoaeinaeini et al.
Summary of Rising Rested Bandits: Lower Bounds and Efficient Algorithms, by Marco Fiandri et al.
Summary of Llasa: Large Language and Structured Data Assistant, by Yao Xu et al.
Summary of Activation Functions For “a Feedforward Unitary Equivariant Neural Network”, by Pui-wai Ma
Summary of Testing Uncertainty Of Large Language Models For Physics Knowledge and Reasoning, by Elizaveta Reganova et al.
Summary of Why You Don’t Overfit, and Don’t Need Bayes If You Only Train For One Epoch, by Laurence Aitchison
Summary of A Neural Network Training Method Based on Distributed Pid Control, by Jiang Kun
Summary of Multi-agent Reinforcement Learning Strategy to Maximize the Lifetime Of Wireless Rechargeable, by Bao Nguyen
Summary of Generative Intervention Models For Causal Perturbation Modeling, by Nora Schneider et al.
Summary of Material Synthesis Through Simulations Guided by Machine Learning: a Position Paper, By Usman Syed et al.
Summary of Teaching Mlps to Master Heterogeneous Graph-structured Knowledge For Efficient and Accurate Inference, by Yunhui Liu et al.
Summary of Trajectory Representation Learning on Road Networks and Grids with Spatio-temporal Dynamics, by Stefan Schestakov and Simon Gottschalk
Summary of Refol: Resource-efficient Federated Online Learning For Traffic Flow Forecasting, by Qingxiang Liu et al.
Summary of Out-of-distribution Detection with Diversification (provably), by Haiyun Yao et al.
Summary of Mmgenbench: Fully Automatically Evaluating Lmms From the Text-to-image Generation Perspective, by Hailang Huang et al.
Summary of Exploration by Running Away From the Past, By Paul-antoine Le Tolguenec et al.
Summary of Gnn-multifix: Addressing the Pitfalls For Gnns For Multi-label Node Classification, by Tianqi Zhao et al.
Summary of Umbrella Reinforcement Learning — Computationally Efficient Tool For Hard Non-linear Problems, by Egor E. Nuzhin and Nikolai V. Brilliantov
Summary of Gasp: Efficient Black-box Generation Of Adversarial Suffixes For Jailbreaking Llms, by Advik Raj Basani et al.
Summary of Comfygi: Automatic Improvement Of Image Generation Workflows, by Dominik Sobania et al.
Summary of Revised Regularization For Efficient Continual Learning Through Correlation-based Parameter Update in Bayesian Neural Networks, by Sanchar Palit et al.
Summary of Evaluating the Robustness Of Analogical Reasoning in Large Language Models, by Martha Lewis et al.
Summary of Openscholar: Synthesizing Scientific Literature with Retrieval-augmented Lms, by Akari Asai et al.
Summary of Natural Language Reinforcement Learning, by Xidong Feng et al.
Summary of Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models, by Javier Ferrando et al.
Summary of Bert-based Approach For Automating Course Articulation Matrix Construction with Explainable Ai, by Natenaile Asmamaw Shiferaw et al.
Summary of Generating Realistic Adversarial Examples For Business Processes Using Variational Autoencoders, by Alexander Stevens et al.
Summary of On the Sample Complexity Of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing, by Arash Behboodi et al.
Summary of Newsinterview: a Dataset and a Playground to Evaluate Llms’ Ground Gap Via Informational Interviews, by Michael Lu et al.
Summary of Adaptable Embeddings Network (aen), by Stan Loosmore et al.
Summary of Edge-cloud Routing For Text-to-image Model with Token-level Multi-metric Prediction, by Zewei Xin et al.
Summary of Automixq: Self-adjusting Quantization For High Performance Memory-efficient Fine-tuning, by Changhai Zhou et al.
Summary of Heterophilic Graph Neural Networks Optimization with Causal Message-passing, by Botao Wang et al.
Summary of Exact and Approximate Error Bounds For Physics-informed Neural Networks, by Augusto T. Chantada et al.
Summary of Interactive and Expressive Code-augmented Planning with Large Language Models, by Anthony Z. Liu et al.
Summary of Dealing with Synthetic Data Contamination in Online Continual Learning, by Maorong Wang et al.
Summary of Generative Fuzzy System For Sequence Generation, by Hailong Yang et al.
Summary of Exploring Applications Of Topological Data Analysis in Stock Index Movement Prediction, by Dazhi Huang et al.
Summary of When Online Algorithms Influence the Environment: a Dynamical Systems Analysis Of the Unintended Consequences, by Prabhat Lankireddy et al.
Summary of Graco — a Graph Composer For Integrated Circuits, by Stefan Uhlich et al.
Summary of Icode: Modeling Dynamical Systems with Extrinsic Input Information, by Zhaoyi Li et al.
Summary of Schemato — An Llm For Netlist-to-schematic Conversion, by Ryoga Matsuo et al.
Summary of Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization, by Yunrui Sun and Gang Hu and Yinglei Teng and Dunbo Cai
Summary of Predictive Maintenance Study For High-pressure Industrial Compressors: Hybrid Clustering Models, by Alessandro Costa et al.
Summary of Nbmlss: Probabilistic Forecasting Of Electricity Prices Via Neural Basis Models For Location Scale and Shape, by Alessandro Brusaferri and Danial Ramin and Andrea Ballarino
Summary of Learning to Cooperate with Humans Using Generative Agents, by Yancheng Liang et al.
Summary of Exponentially Consistent Nonparametric Clustering Of Data Streams, by Bhupender Singh and Ananth Ram Rajagopalan and Srikrishna Bhashyam
Summary of A Discrete-sequence Dataset For Evaluating Online Unsupervised Anomaly Detection Approaches For Multivariate Time Series, by Lucas Correia et al.
Summary of Deep Learning Waterways For Rural Infrastructure Development, by Matthew Pierson and Zia Mehrabi
Summary of Towards Accessible Learning: Deep Learning-based Potential Dysgraphia Detection and Ocr For Potentially Dysgraphic Handwriting, by Vydeki D et al.
Summary of Radphi-3: Small Language Models For Radiology, by Mercy Ranjit et al.
Summary of Non-linear Outlier Synthesis For Out-of-distribution Detection, by Lars Doorenbos et al.
Summary of Fabulight-asd: Unveiling Speech Activity Via Body Language, by Hugo Carneiro and Stefan Wermter
Summary of Differentially Private Learning Beyond the Classical Dimensionality Regime, by Cynthia Dwork et al.
Summary of Hymba: a Hybrid-head Architecture For Small Language Models, by Xin Dong et al.
Summary of Investigating Graph Neural Networks and Classical Feature-extraction Techniques in Activity-cliff and Molecular Property Prediction, by Markus Dablander
Summary of Multi-agent Best Arm Identification in Stochastic Linear Bandits, by Sanjana Agrawal et al.
Summary of Retrieval-augmented Generation For Domain-specific Question Answering: a Case Study on Pittsburgh and Cmu, by Haojia Sun et al.
Summary of Replicable Online Learning, by Saba Ahmadi et al.
Summary of Almost Sure Convergence Rates and Concentration Of Stochastic Approximation and Reinforcement Learning with Markovian Noise, by Xiaochi Qian et al.
Summary of Exploring Large Language Models For Climate Forecasting, by Yang Wang and Hassan A. Karimi
Summary of Delta-influence: Unlearning Poisons Via Influence Functions, by Wenjie Li et al.
Summary of On Generalization Bounds For Neural Networks with Low Rank Layers, by Andrea Pinto and Akshay Rangamani and Tomaso Poggio
Summary of Assessing Gender Bias in Llms: Comparing Llm Outputs with Human Perceptions and Official Statistics, by Tetiana Bas
Summary of Federated Continual Learning For Edge-ai: a Comprehensive Survey, by Zi Wang et al.
Summary of A Framework For Evaluating Llms Under Task Indeterminacy, by Luke Guerdan et al.
Summary of Learning to Reason Iteratively and Parallelly For Complex Visual Reasoning Scenarios, by Shantanu Jaiswal et al.
Summary of A Survey on Adversarial Robustness Of Lidar-based Machine Learning Perception in Autonomous Vehicles, by Junae Kim et al.
Summary of A Unified Analysis For Finite Weight Averaging, by Peng Wang et al.
Summary of Engagement-driven Content Generation with Large Language Models, by Erica Coppolillo et al.
Summary of Belhouse3d: a Benchmark Dataset For Assessing Occlusion Robustness in 3d Point Cloud Semantic Segmentation, by Umamaheswaran Raman Kumar et al.
Summary of Transformers with Sparse Attention For Granger Causality, by Riya Mahesh et al.
Summary of Datta: Domain-adversarial Test-time Adaptation For Cross-domain Wifi-based Human Activity Recognition, by Julian Strohmayer et al.
Summary of Vertical Validation: Evaluating Implicit Generative Models For Graphs on Thin Support Regions, by Mai Elkady et al.
Summary of Explainable Finite-memory Policies For Partially Observable Markov Decision Processes, by Muqsit Azeem et al.
Summary of On the Way to Llm Personalization: Learning to Remember User Conversations, by Lucie Charlotte Magister et al.
Summary of Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated Fem and Neural Network Approach, by Sasa Ilic et al.
Summary of A Survey on Enhancing Reinforcement Learning in Complex Environments: Insights From Human and Llm Feedback, by Alireza Rashidi Laleh et al.
Summary of Synehrgy: Synthesizing Mixed-type Structured Electronic Health Records Using Decoder-only Transformers, by Hojjat Karami et al.
Summary of Adaptagent: Adapting Multimodal Web Agents with Few-shot Learning From Human Demonstrations, by Gaurav Verma et al.
Summary of Conformal Prediction For Hierarchical Data, by Guillaume Principato et al.
Summary of Utilizing Large Language Models to Synthesize Product Desirability Datasets, by John D. Hastings et al.
Summary of Advancing Heatwave Forecasting Via Distribution Informed-graph Neural Networks (di-gnns): Integrating Extreme Value Theory with Gnns, by Farrukh A. Chishtie et al.
Summary of Identity Preserving 3d Head Stylization with Multiview Score Distillation, by Bahri Batuhan Bilecen et al.
Summary of Promoting User Data Autonomy During the Dissolution Of a Monopolistic Firm, by Rushabh Solanki et al.