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