Paper List

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Summary of Muso: Achieving Exact Machine Unlearning in Over-parameterized Regimes, by Ruikai Yang et al.
Summary of Logarithmic Regret For Unconstrained Submodular Maximization Stochastic Bandit, by Julien Zhou (thoth et al.
Summary of Vibes — Vision Backbone Efficient Selection, by Joris Guerin et al.
Summary of Kernel Banzhaf: a Fast and Robust Estimator For Banzhaf Values, by Yurong Liu et al.
Summary of Metalic: Meta-learning In-context with Protein Language Models, by Jacob Beck et al.
Summary of Upper Bounds For Learning in Reproducing Kernel Hilbert Spaces For Non Iid Samples, by Priyanka Roy and Susanne Saminger-platz
Summary of Minimax Hypothesis Testing For the Bradley-terry-luce Model, by Anuran Makur and Japneet Singh
Summary of Towards Optimal Environmental Policies: Policy Learning Under Arbitrary Bipartite Network Interference, by Raphael C. Kim et al.
Summary of Elastictok: Adaptive Tokenization For Image and Video, by Wilson Yan et al.
Summary of Merging in a Bottle: Differentiable Adaptive Merging (dam) and the Path From Averaging to Automation, by Thomas Gauthier-caron et al.
Summary of Language Model Developers Should Report Train-test Overlap, by Andy K Zhang et al.
Summary of Identifying Money Laundering Subgraphs on the Blockchain, by Kiwhan Song et al.
Summary of Heating Up Quasi-monte Carlo Graph Random Features: a Diffusion Kernel Perspective, by Brooke Feinberg et al.
Summary of Bilinear Mlps Enable Weight-based Mechanistic Interpretability, by Michael T. Pearce et al.
Summary of What Is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias, by Aida Mohammadshahi et al.
Summary of A Phase Transition in Sampling From Restricted Boltzmann Machines, by Youngwoo Kwon et al.
Summary of Mycroft: Towards Effective and Efficient External Data Augmentation, by Zain Sarwar et al.
Summary of Generalizable Autoregressive Modeling Of Time Series Through Functional Narratives, by Ran Liu et al.
Summary of Reinforcement Learning For Control Of Non-markovian Cellular Population Dynamics, by Josiah C. Kratz and Jacob Adamczyk
Summary of Juree Not Judges: Safeguarding Llm Interactions with Small, Specialised Encoder Ensembles, by Dom Nasrabadi
Summary of Slow Convergence Of Interacting Kalman Filters in Word-of-mouth Social Learning, by Vikram Krishnamurthy and Cristian Rojas
Summary of Advdiffuser: Generating Adversarial Safety-critical Driving Scenarios Via Guided Diffusion, by Yuting Xie et al.
Summary of Finite Sample and Large Deviations Analysis Of Stochastic Gradient Algorithm with Correlated Noise, by George Yin and Vikram Krishnamurthy
Summary of Generalization From Starvation: Hints Of Universality in Llm Knowledge Graph Learning, by David D. Baek et al.
Summary of Towards Foundation Models For Mixed Integer Linear Programming, by Sirui Li et al.
Summary of Can Looped Transformers Learn to Implement Multi-step Gradient Descent For In-context Learning?, by Khashayar Gatmiry et al.
Summary of Impact Of Missing Values in Machine Learning: a Comprehensive Analysis, by Abu Fuad Ahmad et al.
Summary of Privately Learning From Graphs with Applications in Fine-tuning Large Language Models, by Haoteng Yin et al.
Summary of A Framework to Enable Algorithmic Design Choice Exploration in Dnns, by Timothy L. Cronin Iv et al.
Summary of Global Lyapunov Functions: a Long-standing Open Problem in Mathematics, with Symbolic Transformers, by Alberto Alfarano et al.
Summary of Uniq: Offline Inverse Q-learning For Avoiding Undesirable Demonstrations, by Huy Hoang et al.
Summary of Randomized Asymmetric Chain Of Lora: the First Meaningful Theoretical Framework For Low-rank Adaptation, by Grigory Malinovsky et al.
Summary of Machine Learning For Missing Value Imputation, by Abu Fuad Ahmad et al.
Summary of Correspondence Of Nngp Kernel and the Matern Kernel, by Amanda Muyskens et al.
Summary of Swing-by Dynamics in Concept Learning and Compositional Generalization, by Yongyi Yang et al.
Summary of Hyperdpo: Conditioned One-shot Multi-objective Fine-tuning Framework, by Yinuo Ren et al.
Summary of Do You Know What You Are Talking About? Characterizing Query-knowledge Relevance For Reliable Retrieval Augmented Generation, by Zhuohang Li et al.
Summary of The Language Of Sound Search: Examining User Queries in Audio Search Engines, by Benno Weck and Frederic Font
Summary of Neural Architecture Search Of Hybrid Models For Npu-cim Heterogeneous Ar/vr Devices, by Yiwei Zhao et al.
Summary of Physics and Deep Learning in Computational Wave Imaging, by Youzuo Lin et al.
Summary of Agents Thinking Fast and Slow: a Talker-reasoner Architecture, by Konstantina Christakopoulou et al.
Summary of Exploring Natural Language-based Strategies For Efficient Number Learning in Children Through Reinforcement Learning, by Tirthankar Mittra
Summary of Simultaneous Weight and Architecture Optimization For Neural Networks, by Zitong Huang et al.
Summary of Assessing Episodic Memory in Llms with Sequence Order Recall Tasks, by Mathis Pink et al.
Summary of Steering Masked Discrete Diffusion Models Via Discrete Denoising Posterior Prediction, by Jarrid Rector-brooks et al.
Summary of Progressive Autoregressive Video Diffusion Models, by Desai Xie et al.
Summary of Dart: Denoising Autoregressive Transformer For Scalable Text-to-image Generation, by Jiatao Gu et al.
Summary of Rewarding Progress: Scaling Automated Process Verifiers For Llm Reasoning, by Amrith Setlur et al.
Summary of Visual Scratchpads: Enabling Global Reasoning in Vision, by Aryo Lotfi et al.
Summary of Poison-splat: Computation Cost Attack on 3d Gaussian Splatting, by Jiahao Lu et al.
Summary of Sample Then Identify: a General Framework For Risk Control and Assessment in Multimodal Large Language Models, by Qingni Wang et al.
Summary of Features Are Fate: a Theory Of Transfer Learning in High-dimensional Regression, by Javan Tahir et al.
Summary of Efficient Dictionary Learning with Switch Sparse Autoencoders, by Anish Mudide and Joshua Engels and Eric J. Michaud and Max Tegmark and Christian Schroeder De Witt
Summary of Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision, by Shengcao Cao et al.
Summary of Dice: Discrete Inversion Enabling Controllable Editing For Multinomial Diffusion and Masked Generative Models, by Xiaoxiao He et al.
Summary of Spa: 3d Spatial-awareness Enables Effective Embodied Representation, by Haoyi Zhu and Honghui Yang and Yating Wang and Jiange Yang and Limin Wang and Tong He
Summary of Finetuning Yolov9 For Vehicle Detection: Deep Learning For Intelligent Transportation Systems in Dhaka, Bangladesh, by Shahriar Ahmad Fahim
Summary of Flex-moe: Modeling Arbitrary Modality Combination Via the Flexible Mixture-of-experts, by Sukwon Yun et al.
Summary of Self-attention Mechanism in Multimodal Context For Banking Transaction Flow, by Cyrile Delestre et al.
Summary of Forecasting Mortality Associated Emergency Department Crowding, by Jalmari Nevanlinna et al.
Summary of Federated Graph Learning For Cross-domain Recommendation, by Ziqi Yang et al.
Summary of Neural Material Adaptor For Visual Grounding Of Intrinsic Dynamics, by Junyi Cao et al.
Summary of Adashadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments, by Cheng Fang et al.
Summary of Pretraining Graph Transformers with Atom-in-a-molecule Quantum Properties For Improved Admet Modeling, by Alessio Fallani et al.
Summary of Private Language Models Via Truncated Laplacian Mechanism, by Tianhao Huang et al.
Summary of Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform Llms Into Adaptive Reasoners, by Santosh Kumar Radha et al.
Summary of Verifierq: Enhancing Llm Test Time Compute with Q-learning-based Verifiers, by Jianing Qi et al.
Summary of Scaling Up Your Kernels: Large Kernel Design in Convnets Towards Universal Representations, by Yiyuan Zhang et al.
Summary of On the Convergence Of (stochastic) Gradient Descent For Kolmogorov–arnold Networks, by Yihang Gao et al.
Summary of Closing the Loop: Learning to Generate Writing Feedback Via Language Model Simulated Student Revisions, by Inderjeet Nair et al.
Summary of Unlearning-based Neural Interpretations, by Ching Lam Choi et al.
Summary of Reward-augmented Data Enhances Direct Preference Alignment Of Llms, by Shenao Zhang et al.
Summary of Gaussian Process Thompson Sampling Via Rootfinding, by Taiwo A. Adebiyi and Bach Do and Ruda Zhang
Summary of Unstable Unlearning: the Hidden Risk Of Concept Resurgence in Diffusion Models, by Vinith M. Suriyakumar et al.
Summary of Packing Analysis: Packing Is More Appropriate For Large Models or Datasets in Supervised Fine-tuning, by Shuhe Wang et al.
Summary of Noether’s Razor: Learning Conserved Quantities, by Tycho F. A. Van Der Ouderaa et al.
Summary of A Closer Look at Machine Unlearning For Large Language Models, by Xiaojian Yuan et al.
Summary of Active Fourier Auditor For Estimating Distributional Properties Of Ml Models, by Ayoub Ajarra et al.
Summary of On Barycenter Computation: Semi-unbalanced Optimal Transport-based Method on Gaussians, by Ngoc-hai Nguyen et al.
Summary of Heterogeneous Graph Auto-encoder For Creditcard Fraud Detection, by Moirangthem Tiken Singh et al.
Summary of Generalizing Stochastic Smoothing For Differentiation and Gradient Estimation, by Felix Petersen et al.
Summary of Mars: Situated Inductive Reasoning in An Open-world Environment, by Xiaojuan Tang et al.
Summary of Think Beyond Size: Adaptive Prompting For More Effective Reasoning, by Kamesh R
Summary of Stress Detection Using Ppg Signal and Combined Deep Cnn-mlp Network, by Yasin Hasanpoor et al.
Summary of Robustness Auditing For Linear Regression: to Singularity and Beyond, by Ittai Rubinstein et al.
Summary of Boosting Hierarchical Reinforcement Learning with Meta-learning For Complex Task Adaptation, by Arash Khajooeinejad et al.
Summary of Efficient Reinforcement Learning with Large Language Model Priors, by Xue Yan et al.
Summary of Cost-aware Simulation-based Inference, by Ayush Bharti et al.
Summary of Disease Entity Recognition and Normalization Is Improved with Large Language Model Derived Synthetic Normalized Mentions, by Kuleen Sasse et al.
Summary of Offline Hierarchical Reinforcement Learning Via Inverse Optimization, by Carolin Schmidt et al.
Summary of Compl-ai Framework: a Technical Interpretation and Llm Benchmarking Suite For the Eu Artificial Intelligence Act, by Philipp Guldimann et al.
Summary of Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations, by Stephen Carrow et al.
Summary of Learning Equivariant Non-local Electron Density Functionals, by Nicholas Gao et al.
Summary of Addressing Rotational Learning Dynamics in Multi-agent Reinforcement Learning, by Baraah A. M. Sidahmed et al.
Summary of Machine Learning-based Feasibility Estimation Of Digital Blocks in Bcd Technology, by Gabriele Faraone et al.
Summary of Doob’s Lagrangian: a Sample-efficient Variational Approach to Transition Path Sampling, by Yuanqi Du et al.
Summary of Molmix: a Simple Yet Effective Baseline For Multimodal Molecular Representation Learning, by Andrei Manolache et al.
Summary of Neuroplastic Expansion in Deep Reinforcement Learning, by Jiashun Liu and Johan Obando-ceron and Aaron Courville and Ling Pan
Summary of More Experts Than Galaxies: Conditionally-overlapping Experts with Biologically-inspired Fixed Routing, by Sagi Shaier et al.
Summary of Aha: Human-assisted Out-of-distribution Generalization and Detection, by Haoyue Bai et al.