Paper List

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Summary of Interacting Particle Systems on Networks: Joint Inference Of the Network and the Interaction Kernel, by Quanjun Lang et al.
Summary of Conservative and Risk-aware Offline Multi-agent Reinforcement Learning, by Eslam Eldeeb et al.
Summary of Transfer Operators From Batches Of Unpaired Points Via Entropic Transport Kernels, by Florian Beier et al.
Summary of Hierarchical Position Embedding Of Graphs with Landmarks and Clustering For Link Prediction, by Minsang Kim and Seungjun Baek
Summary of Online Structured Prediction with Fenchel–young Losses and Improved Surrogate Regret For Online Multiclass Classification with Logistic Loss, by Shinsaku Sakaue et al.
Summary of Enabling Multi-agent Transfer Reinforcement Learning Via Scenario Independent Representation, by Ayesha Siddika Nipu et al.
Summary of Variational Continual Test-time Adaptation, by Fan Lyu et al.
Summary of Gaussian Ensemble Belief Propagation For Efficient Inference in High-dimensional Systems, by Dan Mackinlay et al.
Summary of Learning Time-dependent Pde Via Graph Neural Networks and Deep Operator Network For Robust Accuracy on Irregular Grids, by Sung Woong Cho et al.
Summary of Off-policy Evaluation in Markov Decision Processes Under Weak Distributional Overlap, by Mohammad Mehrabi and Stefan Wager
Summary of Confronting Discrimination in Classification: Smote Based on Marginalized Minorities in the Kernel Space For Imbalanced Data, by Lingyun Zhong
Summary of Thresholding Data Shapley For Data Cleansing Using Multi-armed Bandits, by Hiroyuki Namba et al.
Summary of Bbox-adapter: Lightweight Adapting For Black-box Large Language Models, by Haotian Sun et al.
Summary of Improving Black-box Robustness with In-context Rewriting, by Kyle O’brien et al.
Summary of Investigating Out-of-distribution Generalization Of Gnns: An Architecture Perspective, by Kai Guo et al.
Summary of Causal Discovery Under Off-target Interventions, by Davin Choo et al.
Summary of Towards Equitable Agile Research and Development Of Ai and Robotics, by Andrew Hundt et al.
Summary of Apalu: a Trainable, Adaptive Activation Function For Deep Learning Networks, by Barathi Subramanian et al.
Summary of Object Detection in Thermal Images Using Deep Learning For Unmanned Aerial Vehicles, by Minh Dang Tu et al.
Summary of Distal Interference: Exploring the Limits Of Model-based Continual Learning, by Heinrich Van Deventer et al.
Summary of World Model on Million-length Video and Language with Blockwise Ringattention, by Hao Liu et al.
Summary of Geometry-induced Implicit Regularization in Deep Relu Neural Networks, by Joachim Bona-pellissier (imt) et al.
Summary of Chatcell: Facilitating Single-cell Analysis with Natural Language, by Yin Fang et al.
Summary of Large Language Models As Agents in Two-player Games, by Yang Liu et al.
Summary of Score-based Generative Models Break the Curse Of Dimensionality in Learning a Family Of Sub-gaussian Probability Distributions, by Frank Cole et al.
Summary of Message Detouring: a Simple Yet Effective Cycle Representation For Expressive Graph Learning, by Ziquan Wei et al.
Summary of Text-centric Alignment For Multi-modality Learning, by Yun-da Tsai et al.
Summary of Out-of-distribution Detection and Data Drift Monitoring Using Statistical Process Control, by Ghada Zamzmi et al.
Summary of Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees, by Sean Jaffe and Alexander Davydov and Deniz Lapsekili and Ambuj Singh and Francesco Bullo
Summary of Convergence Analysis Of Discrete Diffusion Model: Exact Implementation Through Uniformization, by Hongrui Chen et al.
Summary of An Efficient Rehearsal Scheme For Catastrophic Forgetting Mitigation During Multi-stage Fine-tuning, by Andrew Bai et al.
Summary of Investigating the Impact Of Data Contamination Of Large Language Models in Text-to-sql Translation, by Federico Ranaldi et al.
Summary of Learning Cartesian Product Graphs with Laplacian Constraints, by Changhao Shi and Gal Mishne
Summary of A Competition Winning Deep Reinforcement Learning Agent in Microrts, by Scott Goodfriend
Summary of Active Preference Learning For Large Language Models, by William Muldrew et al.
Summary of A Universal Non-parametric Approach For Improved Molecular Sequence Analysis, by Sarwan Ali et al.
Summary of Contextual Multinomial Logit Bandits with General Value Functions, by Mengxiao Zhang et al.
Summary of On the Resurgence Of Recurrent Models For Long Sequences — Survey and Research Opportunities in the Transformer Era, by Matteo Tiezzi et al.
Summary of Efficient Contextual Bandits with Uninformed Feedback Graphs, by Mengxiao Zhang et al.
Summary of Differentially Private Distributed Inference, by Marios Papachristou et al.
Summary of Randomized Algorithms For Symmetric Nonnegative Matrix Factorization, by Koby Hayashi et al.
Summary of On Limitations Of the Transformer Architecture, by Binghui Peng et al.
Summary of Llaga: Large Language and Graph Assistant, by Runjin Chen et al.
Summary of Comparing Skill Of Historical Rainfall Data Based Monsoon Rainfall Prediction in India with Ncep-nwp Forecasts, by Apoorva Narula et al.
Summary of Prismatic Vlms: Investigating the Design Space Of Visually-conditioned Language Models, by Siddharth Karamcheti et al.
Summary of Nesting Particle Filters For Experimental Design in Dynamical Systems, by Sahel Iqbal et al.
Summary of Scaling Laws For Fine-grained Mixture Of Experts, by Jakub Krajewski et al.
Summary of Policy Improvement Using Language Feedback Models, by Victor Zhong et al.
Summary of Maidcrl: Semi-centralized Multi-agent Influence Dense-cnn Reinforcement Learning, by Ayesha Siddika Nipu et al.
Summary of Implicit Bias Of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States, by Noam Razin et al.
Summary of Label-efficient Model Selection For Text Generation, by Shir Ashury-tahan et al.
Summary of A Systematic Investigation Of Learnability From Single Child Linguistic Input, by Yulu Qin et al.
Summary of Fast: Factorizable Attention For Speeding Up Transformers, by Armin Gerami et al.
Summary of Spo: Sequential Monte Carlo Policy Optimisation, by Matthew V Macfarlane et al.
Summary of Netinfof Framework: Measuring and Exploiting Network Usable Information, by Meng-chieh Lee et al.
Summary of Which Frequencies Do Cnns Need? Emergent Bottleneck Structure in Feature Learning, by Yuxiao Wen et al.
Summary of Lumos : Empowering Multimodal Llms with Scene Text Recognition, by Ashish Shenoy et al.
Summary of Nearest Neighbour Score Estimators For Diffusion Generative Models, by Matthew Niedoba et al.
Summary of Leveraging Digital Cousins For Ensemble Q-learning in Large-scale Wireless Networks, by Talha Bozkus et al.
Summary of Ugmae: a Unified Framework For Graph Masked Autoencoders, by Yijun Tian et al.
Summary of Avoiding Catastrophe in Online Learning by Asking For Help, By Benjamin Plaut et al.
Summary of Grounding Data Science Code Generation with Input-output Specifications, by Yeming Wen et al.
Summary of Diffeomorphic Measure Matching with Kernels For Generative Modeling, by Biraj Pandey et al.
Summary of Graph Structure Inference with Bam: Introducing the Bilinear Attention Mechanism, by Philipp Froehlich and Heinz Koeppl
Summary of Towards Unified Alignment Between Agents, Humans, and Environment, by Zonghan Yang et al.
Summary of Task-conditioned Adaptation Of Visual Features in Multi-task Policy Learning, by Pierre Marza et al.
Summary of Diffusion Of Thoughts: Chain-of-thought Reasoning in Diffusion Language Models, by Jiacheng Ye et al.
Summary of Predictive Churn with the Set Of Good Models, by Jamelle Watson-daniels et al.
Summary of Scalable Structure Learning For Sparse Context-specific Systems, by Felix Leopoldo Rios et al.
Summary of Towards An Understanding Of Stepwise Inference in Transformers: a Synthetic Graph Navigation Model, by Mikail Khona et al.
Summary of Hypo: Hyperspherical Out-of-distribution Generalization, by Haoyue Bai et al.
Summary of From Uncertainty to Precision: Enhancing Binary Classifier Performance Through Calibration, by Agathe Fernandes Machado et al.
Summary of Empowering Federated Learning For Massive Models with Nvidia Flare, by Holger R. Roth et al.
Summary of Towards a Mathematical Theory For Consistency Training in Diffusion Models, by Gen Li et al.
Summary of Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation, by Julius Vetter et al.
Summary of Retrieval Augmented Thought Process For Private Data Handling in Healthcare, by Thomas Pouplin et al.
Summary of Differentially Private Zeroth-order Methods For Scalable Large Language Model Finetuning, by Z Liu et al.
Summary of On Computationally Efficient Multi-class Calibration, by Parikshit Gopalan et al.
Summary of Generalizing Across Temporal Domains with Koopman Operators, by Qiuhao Zeng et al.
Summary of Towards Meta-pruning Via Optimal Transport, by Alexander Theus et al.
Summary of Unsupervised Optimisation Of Gnns For Node Clustering, by William Leeney and Ryan Mcconville
Summary of Generative Modeling Of Discrete Joint Distributions by E-geodesic Flow Matching on Assignment Manifolds, By Bastian Boll et al.
Summary of Multiscale Neuroimaging Features For the Identification Of Medication Class and Non-responders in Mood Disorder Treatment, by Bradley T. Baker et al.
Summary of Neuralsentinel: Safeguarding Neural Network Reliability and Trustworthiness, by Xabier Echeberria-barrio et al.
Summary of Show Me How It’s Done: the Role Of Explanations in Fine-tuning Language Models, by Mohamad Ballout et al.
Summary of Transaxx: Efficient Transformers with Approximate Computing, by Dimitrios Danopoulos et al.
Summary of Only the Curve Shape Matters: Training Foundation Models For Zero-shot Multivariate Time Series Forecasting Through Next Curve Shape Prediction, by Cheng Feng et al.
Summary of Weisfeiler-leman at the Margin: When More Expressivity Matters, by Billy J. Franks et al.
Summary of Near-minimax-optimal Distributional Reinforcement Learning with a Generative Model, by Mark Rowland et al.
Summary of Zero-shot Imputation with Foundation Inference Models For Dynamical Systems, by Patrick Seifner et al.
Summary of Autonomous Data Selection with Zero-shot Generative Classifiers For Mathematical Texts, by Yifan Zhang et al.
Summary of Stochastic Gradient Flow Dynamics Of Test Risk and Its Exact Solution For Weak Features, by Rodrigo Veiga et al.
Summary of G-retriever: Retrieval-augmented Generation For Textual Graph Understanding and Question Answering, by Xiaoxin He et al.
Summary of Tighter Bounds on the Information Bottleneck with Application to Deep Learning, by Nir Weingarten et al.
Summary of A Flow-based Credibility Metric For Safety-critical Pedestrian Detection, by Maria Lyssenko et al.
Summary of Contrastive Multiple Instance Learning For Weakly Supervised Person Reid, by Jacob Tyo and Zachary C. Lipton
Summary of Online Sequential Decision-making with Unknown Delays, by Ping Wu and Heyan Huang and Zhengyang Liu
Summary of Boundary Exploration For Bayesian Optimization with Unknown Physical Constraints, by Yunsheng Tian et al.
Summary of Optimizing Sparse Convolution on Gpus with Cuda For 3d Point Cloud Processing in Embedded Systems, by Chester Luo et al.
Summary of Model Collapse Demystified: the Case Of Regression, by Elvis Dohmatob et al.