Paper List

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Summary of Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-of-the-art Large Language Models, by Marianna Nezhurina et al.
Summary of Causal Effect Identification in Lingam Models with Latent Confounders, by Daniele Tramontano and Yaroslav Kivva and Saber Salehkaleybar and Mathias Drton and Negar Kiyavash
Summary of Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation, by Yaohua Liu et al.
Summary of Preference Optimization For Molecule Synthesis with Conditional Residual Energy-based Models, by Songtao Liu et al.
Summary of In-context Learning Of Physical Properties: Few-shot Adaptation to Out-of-distribution Molecular Graphs, by Grzegorz Kaszuba et al.
Summary of Emoe: Expansive Matching Of Experts For Robust Uncertainty Based Rejection, by Yunni Qu (1) et al.
Summary of Diffusion Boosted Trees, by Xizewen Han and Mingyuan Zhou
Summary of Causal Discovery with Fewer Conditional Independence Tests, by Kirankumar Shiragur et al.
Summary of Cafo: Feature-centric Explanation on Time Series Classification, by Jaeho Kim et al.
Summary of Multi-agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy, by Riqiang Gao et al.
Summary of Learning the Target Network in Function Space, by Kavosh Asadi et al.
Summary of Neural Green’s Operators For Parametric Partial Differential Equations, by Hugo Melchers et al.
Summary of Understanding Stochastic Natural Gradient Variational Inference, by Kaiwen Wu and Jacob R. Gardner
Summary of Cr-utp: Certified Robustness Against Universal Text Perturbations on Large Language Models, by Qian Lou et al.
Summary of Cross-domain Graph Data Scaling: a Showcase with Diffusion Models, by Wenzhuo Tang et al.
Summary of Explicitly Encoding Structural Symmetry Is Key to Length Generalization in Arithmetic Tasks, by Mahdi Sabbaghi et al.
Summary of Bifurcated Generative Flow Networks, by Chunhui Li and Cheng-hao Liu and Dianbo Liu and Qingpeng Cai and Ling Pan
Summary of Pdhg-unrolled Learning-to-optimize Method For Large-scale Linear Programming, by Bingheng Li et al.
Summary of A Global Geometric Analysis Of Maximal Coding Rate Reduction, by Peng Wang et al.
Summary of Generating Synthetic Net Load Data with Physics-informed Diffusion Model, by Shaorong Zhang et al.
Summary of Orthogonal Causal Calibration, by Justin Whitehouse et al.
Summary of Speeding Up Policy Simulation in Supply Chain Rl, by Vivek Farias et al.
Summary of Process-driven Autoformalization in Lean 4, by Jianqiao Lu et al.
Summary of Certifiably Byzantine-robust Federated Conformal Prediction, by Mintong Kang and Zhen Lin and Jimeng Sun and Cao Xiao and Bo Li
Summary of Fnp: Fourier Neural Processes For Arbitrary-resolution Data Assimilation, by Kun Chen et al.
Summary of Ikan: Global Incremental Learning with Kan For Human Activity Recognition Across Heterogeneous Datasets, by Mengxi Liu et al.
Summary of An Analysis Under a Unified Fomulation Of Learning Algorithms with Output Constraints, by Mooho Song et al.
Summary of Cola-dce — Concept-guided Latent Diffusion Counterfactual Explanations, by Franz Motzkus et al.
Summary of Self-improving Robust Preference Optimization, by Eugene Choi et al.
Summary of An Efficient Wasserstein-distance Approach For Reconstructing Jump-diffusion Processes Using Parameterized Neural Networks, by Mingtao Xia et al.
Summary of A Diffusion Model Framework For Unsupervised Neural Combinatorial Optimization, by Sebastian Sanokowski et al.
Summary of An Efficient Solution to Hidden Markov Models on Trees with Coupled Branches, by Farzan Vafa and Sahand Hormoz
Summary of Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling For Uavs in Utm Systems, by Sravan Reddy Chintareddy et al.
Summary of Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization, by Aleksandra Irena Nowak et al.
Summary of Learning-to-cache: Accelerating Diffusion Transformer Via Layer Caching, by Xinyin Ma et al.
Summary of Position: Cracking the Code Of Cascading Disparity Towards Marginalized Communities, by Golnoosh Farnadi et al.
Summary of Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification, by Fred Lu et al.
Summary of Non-asymptotic Analysis For Single-loop (natural) Actor-critic with Compatible Function Approximation, by Yudan Wang et al.
Summary of How Does Gradient Descent Learn Features — a Local Analysis For Regularized Two-layer Neural Networks, by Mo Zhou et al.
Summary of Ai-based Classification Of Customer Support Tickets: State Of the Art and Implementation with Automl, by Mario Truss et al.
Summary of Online Control in Population Dynamics, by Noah Golowich et al.
Summary of Towards the Transferability Of Rewards Recovered Via Regularized Inverse Reinforcement Learning, by Andreas Schlaginhaufen et al.
Summary of Fearless Stochasticity in Expectation Propagation, by Jonathan So et al.
Summary of Tabmda: Tabular Manifold Data Augmentation For Any Classifier Using Transformers with In-context Subsetting, by Andrei Margeloiu et al.
Summary of Learning From Streaming Data When Users Choose, by Jinyan Su et al.
Summary of Mixmax: Distributional Robustness in Function Space Via Optimal Data Mixtures, by Anvith Thudi et al.
Summary of Robust Classification by Coupling Data Mollification with Label Smoothing, By Markus Heinonen et al.
Summary of The Geometry Of Categorical and Hierarchical Concepts in Large Language Models, by Kiho Park et al.
Summary of Moseac: Streamlined Variable Time Step Reinforcement Learning, by Dong Wang and Giovanni Beltrame
Summary of Physics-informed Neural Networks For Dynamic Process Operations with Limited Physical Knowledge and Data, by Mehmet Velioglu et al.
Summary of Guided Score Identity Distillation For Data-free One-step Text-to-image Generation, by Mingyuan Zhou and Zhendong Wang and Huangjie Zheng and Hai Huang
Summary of How to Count Coughs: An Event-based Framework For Evaluating Automatic Cough Detection Algorithm Performance, by Lara Orlandic et al.
Summary of Physics-informed Deep Learning and Compressive Collocation For High-dimensional Diffusion-reaction Equations: Practical Existence Theory and Numerics, by Simone Brugiapaglia et al.
Summary of A New View on Planning in Online Reinforcement Learning, by Kevin Roice et al.
Summary of Unlocking Guidance For Discrete State-space Diffusion and Flow Models, by Hunter Nisonoff et al.
Summary of An Equivalence Between Static and Dynamic Regret Minimization, by Andrew Jacobsen and Francesco Orabona
Summary of Single Trajectory Conformal Prediction, by Brian Lee and Nikolai Matni
Summary of Neural Network Learns Low-dimensional Polynomials with Sgd Near the Information-theoretic Limit, by Jason D. Lee and Kazusato Oko and Taiji Suzuki and Denny Wu
Summary of Decomposing and Interpreting Image Representations Via Text in Vits Beyond Clip, by Sriram Balasubramanian et al.
Summary of Text-guided Controllable Mesh Refinement For Interactive 3d Modeling, by Yun-chun Chen et al.
Summary of Nn2poly: An R Package For Converting Neural Networks Into Interpretable Polynomials, by Pablo Morala (1 and 2) et al.
Summary of Tilting the Odds at the Lottery: the Interplay Of Overparameterisation and Curricula in Neural Networks, by Stefano Sarao Mannelli and Yaraslau Ivashynka and Andrew Saxe and Luca Saglietti
Summary of Diffuhaul: a Training-free Method For Object Dragging in Images, by Omri Avrahami et al.
Summary of Timecma: Towards Llm-empowered Multivariate Time Series Forecasting Via Cross-modality Alignment, by Chenxi Liu et al.
Summary of A Fast Convergence Theory For Offline Decision Making, by Chenjie Mao et al.
Summary of Rl in Latent Mdps Is Tractable: Online Guarantees Via Off-policy Evaluation, by Jeongyeol Kwon et al.
Summary of Mixture Of Rationale: Multi-modal Reasoning Mixture For Visual Question Answering, by Tao Li et al.
Summary of Using Constraints to Discover Sparse and Alternative Subgroup Descriptions, by Jakob Bach
Summary of Ce-nas: An End-to-end Carbon-efficient Neural Architecture Search Framework, by Yiyang Zhao et al.
Summary of Adapting Conformal Prediction to Distribution Shifts Without Labels, by Kevin Kasa et al.
Summary of Mixup Augmentation with Multiple Interpolations, by Lifeng Shen et al.
Summary of Problematizing Ai Omnipresence in Landscape Architecture, by Phillip Fernberg et al.
Summary of Value Improved Actor Critic Algorithms, by Yaniv Oren et al.
Summary of Universal In-context Approximation by Prompting Fully Recurrent Models, By Aleksandar Petrov et al.
Summary of Learning Analysis Of Kernel Ridgeless Regression with Asymmetric Kernel Learning, by Fan He et al.
Summary of Asynchronous Multi-server Federated Learning For Geo-distributed Clients, by Yuncong Zuo et al.
Summary of Asynchronous Byzantine Federated Learning, by Bart Cox et al.
Summary of Enabling Asr For Low-resource Languages: a Comprehensive Dataset Creation Approach, by Ara Yeroyan (data Science Department et al.
Summary of Automatic Fused Multimodal Deep Learning For Plant Identification, by Alfreds Lapkovskis et al.
Summary of Hardness Of Learning Neural Networks Under the Manifold Hypothesis, by Bobak T. Kiani et al.
Summary of Differentially Private Tabular Data Synthesis Using Large Language Models, by Toan V. Tran and Li Xiong
Summary of The Importance Of Online Data: Understanding Preference Fine-tuning Via Coverage, by Yuda Song et al.
Summary of Understanding Token Probability Encoding in Output Embeddings, by Hakaze Cho et al.
Summary of Inverse Design Of Photonic Surfaces on Inconel Via Multi-fidelity Machine Learning Ensemble Framework and High Throughput Femtosecond Laser Processing, by Luka Grbcic et al.
Summary of Sparsity-agnostic Linear Bandits with Adaptive Adversaries, by Tianyuan Jin et al.
Summary of Scaling Up Deep Clustering Methods Beyond Imagenet-1k, by Nikolas Adaloglou and Felix Michels and Kaspar Senft and Diana Petrusheva and Markus Kollmann
Summary of Agale: a Graph-aware Continual Learning Evaluation Framework, by Tianqi Zhao et al.
Summary of Achieving Tractable Minimax Optimal Regret in Average Reward Mdps, by Victor Boone et al.
Summary of Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters, by Ya-wei Eileen Lin et al.
Summary of On the Nonlinearity Of Layer Normalization, by Yunhao Ni et al.
Summary of What Makes Unlearning Hard and What to Do About It, by Kairan Zhao et al.
Summary of Expected Grad-cam: Towards Gradient Faithfulness, by Vincenzo Buono et al.
Summary of Lifting Factor Graphs with Some Unknown Factors, by Malte Luttermann et al.
Summary of Fruit-salad: a Style Aligned Artwork Dataset to Reveal Similarity Perception in Image Embeddings, by Tillmann Ohm et al.
Summary of Continuous Geometry-aware Graph Diffusion Via Hyperbolic Neural Pde, by Jiaxu Liu et al.
Summary of Improved Few-shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses, by Xiaosen Zheng et al.
Summary of Resource-constrained Fairness, by Sofie Goethals et al.
Summary of Scale-free Image Keypoints Using Differentiable Persistent Homology, by Giovanni Barbarani et al.
Summary of The Intelligible and Effective Graph Neural Additive Networks, by Maya Bechler-speicher et al.
Summary of Position: An Inner Interpretability Framework For Ai Inspired by Lessons From Cognitive Neuroscience, By Martina G. Vilas et al.