Paper List

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Summary of Diagnosing and Fixing Common Problems in Bayesian Optimization For Molecule Design, by Austin Tripp et al.
Summary of Loss Gradient Gaussian Width Based Generalization and Optimization Guarantees, by Arindam Banerjee et al.
Summary of A Concise Mathematical Description Of Active Inference in Discrete Time, by Jesse Van Oostrum et al.
Summary of Efficient Parallel Multi-hop Reasoning: a Scalable Approach For Knowledge Graph Analysis, by Jesmin Jahan Tithi and Fabio Checconi and Fabrizio Petrini
Summary of Estimating the Hallucination Rate Of Generative Ai, by Andrew Jesson and Nicolas Beltran-velez and Quentin Chu and Sweta Karlekar and Jannik Kossen and Yarin Gal and John P. Cunningham and David Blei
Summary of Multimodal Belief Prediction, by John Murzaku et al.
Summary of Partially Observed Trajectory Inference Using Optimal Transport and a Dynamics Prior, by Anming Gu et al.
Summary of Towards Generalized Hydrological Forecasting Using Transformer Models For 120-hour Streamflow Prediction, by Bekir Z. Demiray and Ibrahim Demir
Summary of Comparing Deep Learning Models For Rice Mapping in Bhutan Using High Resolution Satellite Imagery, by Biplov Bhandari et al.
Summary of Textgrad: Automatic “differentiation” Via Text, by Mert Yuksekgonul et al.
Summary of Understanding Visual Concepts Across Models, by Brandon Trabucco et al.
Summary of Flow Map Matching, by Nicholas M. Boffi et al.
Summary of Beyond Model Collapse: Scaling Up with Synthesized Data Requires Verification, by Yunzhen Feng et al.
Summary of Samba: Simple Hybrid State Space Models For Efficient Unlimited Context Language Modeling, by Liliang Ren et al.
Summary of Simple and Effective Masked Diffusion Language Models, by Subham Sekhar Sahoo et al.
Summary of Quickllama: Query-aware Inference Acceleration For Large Language Models, by Jingyao Li et al.
Summary of Towards Fundamentally Scalable Model Selection: Asymptotically Fast Update and Selection, by Wenxiao Wang et al.
Summary of Map: Low-compute Model Merging with Amortized Pareto Fronts Via Quadratic Approximation, by Lu Li et al.
Summary of Ctrl-x: Controlling Structure and Appearance For Text-to-image Generation Without Guidance, by Kuan Heng Lin et al.
Summary of Cdsa: Conservative Denoising Score-based Algorithm For Offline Reinforcement Learning, by Zeyuan Liu et al.
Summary of Image and Video Tokenization with Binary Spherical Quantization, by Yue Zhao et al.
Summary of Situational Awareness Matters in 3d Vision Language Reasoning, by Yunze Man et al.
Summary of Reinforcement Learning Based Escape Route Generation in Low Visibility Environments, by Hari Srikanth
Summary of Domain-specific React For Physics-integrated Iterative Modeling: a Case Study Of Llm Agents For Gas Path Analysis Of Gas Turbines, by Tao Song and Yuwei Fan and Chenlong Feng and Keyu Song and Chao Liu and Dongxiang Jiang
Summary of Ai Sandbagging: Language Models Can Strategically Underperform on Evaluations, by Teun Van Der Weij et al.
Summary of Deep Implicit Optimization Enables Robust Learnable Features For Deformable Image Registration, by Rohit Jena et al.
Summary of World Models with Hints Of Large Language Models For Goal Achieving, by Zeyuan Liu et al.
Summary of When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models, by Haoran You et al.
Summary of Visual Representation Learning with Stochastic Frame Prediction, by Huiwon Jang et al.
Summary of Redefining Automotive Radar Imaging: a Domain-informed 1d Deep Learning Approach For High-resolution and Efficient Performance, by Ruxin Zheng and Shunqiao Sun and Holger Caesar and Honglei Chen and Jian Li
Summary of Guiding Llm Temporal Logic Generation with Explicit Separation Of Data and Control, by William Murphy et al.
Summary of A Survey on Recent Random Walk-based Methods For Embedding Knowledge Graphs, by Elika Bozorgi et al.
Summary of Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy, by Xiaohan Huang et al.
Summary of Private Geometric Median, by Mahdi Haghifam et al.
Summary of Accelerating Ill-conditioned Hankel Matrix Recovery Via Structured Newton-like Descent, by Hanqin Cai et al.
Summary of Towards Continuous Reuse Of Graph Models Via Holistic Memory Diversification, by Ziyue Qiao et al.
Summary of Beyond Elbos: a Large-scale Evaluation Of Variational Methods For Sampling, by Denis Blessing et al.
Summary of Enhanced Gene Selection in Single-cell Genomics: Pre-filtering Synergy and Reinforced Optimization, by Weiliang Zhang et al.
Summary of Deformtime: Capturing Variable Dependencies with Deformable Attention For Time Series Forecasting, by Yuxuan Shu et al.
Summary of Beware Of Aliases — Signal Preservation Is Crucial For Robust Image Restoration, by Shashank Agnihotri and Julia Grabinski and Janis Keuper and Margret Keuper
Summary of A Multi-armed Bandit Approach to Online Selection and Evaluation Of Generative Models, by Xiaoyan Hu et al.
Summary of Benchmarking Vision-language Contrastive Methods For Medical Representation Learning, by Shuvendu Roy et al.
Summary of Reinforcement Learning From Human Feedback Without Reward Inference: Model-free Algorithm and Instance-dependent Analysis, by Qining Zhang et al.
Summary of Fkan: Fractional Kolmogorov-arnold Networks with Trainable Jacobi Basis Functions, by Alireza Afzal Aghaei
Summary of Deep Learning-based Approach For User Activity Detection with Grant-free Random Access in Cell-free Massive Mimo, by Ali Elkeshawy et al.
Summary of Ternaryllm: Ternarized Large Language Model, by Tianqi Chen et al.
Summary of A Synthetic Dataset For Personal Attribute Inference, by Hanna Yukhymenko et al.
Summary of Semantic-aware Spectrum Sharing in Internet Of Vehicles Based on Deep Reinforcement Learning, by Zhiyu Shao et al.
Summary of Improving Autoformalization Using Type Checking, by Auguste Poiroux et al.
Summary of Opfdata: Large-scale Datasets For Ac Optimal Power Flow with Topological Perturbations, by Sean Lovett et al.
Summary of Let Go Of Your Labels with Unsupervised Transfer, by Artyom Gadetsky et al.
Summary of Marginalization Consistent Mixture Of Separable Flows For Probabilistic Irregular Time Series Forecasting, by Vijaya Krishna Yalavarthi et al.
Summary of Hybrid Reinforcement Learning From Offline Observation Alone, by Yuda Song et al.
Summary of Scientific Computing with Large Language Models, by Christopher Culver et al.
Summary of Semlaflow — Efficient 3d Molecular Generation with Latent Attention and Equivariant Flow Matching, by Ross Irwin et al.
Summary of Active Learning For Affinity Prediction Of Antibodies, by Alexandra Gessner et al.
Summary of Joint Learning Of Context and Feedback Embeddings in Spoken Dialogue, by Livia Qian and Gabriel Skantze
Summary of Multi-objective Reinforcement Learning From Ai Feedback, by Marcus Williams
Summary of Rethinking the Impact Of Noisy Labels in Graph Classification: a Utility and Privacy Perspective, by De Li et al.
Summary of Bertaqa: How Much Do Language Models Know About Local Culture?, by Julen Etxaniz and Gorka Azkune and Aitor Soroa and Oier Lopez De Lacalle and Mikel Artetxe
Summary of Beyond Training: Optimizing Reinforcement Learning Based Job Shop Scheduling Through Adaptive Action Sampling, by Constantin Waubert De Puiseau et al.
Summary of 3d-properties: Identifying Challenges in Dpo and Charting a Path Forward, by Yuzi Yan et al.
Summary of Transferring Knowledge From Large Foundation Models to Small Downstream Models, by Shikai Qiu et al.
Summary of Dr-rag: Applying Dynamic Document Relevance to Retrieval-augmented Generation For Question-answering, by Zijian Hei and Weiling Liu and Wenjie Ou and Juyi Qiao and Junming Jiao and Guowen Song and Ting Tian and Yi Lin
Summary of Dnn Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: a Lyapunov-guided Diffusion-based Reinforcement Learning Approach, by Zhang Liu and Hongyang Du and Junzhe Lin and Zhibin Gao and Lianfen Huang and Seyyedali Hosseinalipour and Dusit Niyato
Summary of Decor: Deconfounding Time Series with Robust Regression, by Felix Schur et al.
Summary of Moreaupruner: Robust Pruning Of Large Language Models Against Weight Perturbations, by Zixiao Wang et al.
Summary of Entropy-reinforced Planning with Large Language Models For Drug Discovery, by Xuefeng Liu et al.
Summary of Learning Discrete Latent Variable Structures with Tensor Rank Conditions, by Zhengming Chen et al.
Summary of Heterogeneous Learning Rate Scheduling For Neural Architecture Search on Long-tailed Datasets, by Chenxia Tang
Summary of Fairness-aware Meta-learning Via Nash Bargaining, by Yi Zeng et al.
Summary of Integrating Domain Knowledge For Handling Limited Data in Offline Rl, by Briti Gangopadhyay et al.
Summary of Multitrust: a Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models, by Yichi Zhang et al.
Summary of Reading Miscue Detection in Primary School Through Automatic Speech Recognition, by Lingyun Gao et al.
Summary of Efficient Mixture Learning in Black-box Variational Inference, by Alexandra Hotti et al.
Summary of Leveraging Large Language Models For Efficient Failure Analysis in Game Development, by Leonardo Marini et al.
Summary of Agnostic Sharpness-aware Minimization, by Van-anh Nguyen et al.
Summary of D-gril: End-to-end Topological Learning with 2-parameter Persistence, by Soham Mukherjee et al.
Summary of Advancing Tool-augmented Large Language Models: Integrating Insights From Errors in Inference Trees, by Sijia Chen et al.
Summary of Augmenting Offline Rl with Unlabeled Data, by Zhao Wang et al.
Summary of Charme: a Chain-based Reinforcement Learning Approach For the Minor Embedding Problem, by Hoang M. Ngo et al.
Summary of Logical Distillation Of Graph Neural Networks, by Alexander Pluska et al.
Summary of Identifiable Object-centric Representation Learning Via Probabilistic Slot Attention, by Avinash Kori et al.
Summary of Failures Are Fated, but Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-scale Vision and Language Models, by Som Sagar et al.
Summary of Stable Minima Cannot Overfit in Univariate Relu Networks: Generalization by Large Step Sizes, By Dan Qiao et al.
Summary of Compassdock: Comprehensive Accurate Assessment Approach For Deep Learning-based Molecular Docking in Inference and Fine-tuning, by Ahmet Sarigun et al.
Summary of Sample Complexity Reduction Via Policy Difference Estimation in Tabular Reinforcement Learning, by Adhyyan Narang et al.
Summary of Flexible Parametric Inference For Space-time Hawkes Processes, by Emilia Siviero et al.
Summary of Flux: Fast Software-based Communication Overlap on Gpus Through Kernel Fusion, by Li-wen Chang et al.
Summary of Tokenize Features, Enhancing Tables: the Ft-tabpfn Model For Tabular Classification, by Quangao Liu et al.
Summary of Transformers Provably Learn Sparse Token Selection While Fully-connected Nets Cannot, by Zixuan Wang et al.
Summary of Nonlinear Time-series Embedding by Monotone Variational Inequality, By Jonathan Y. Zhou et al.
Summary of On the Limitation Of Kernel Dependence Maximization For Feature Selection, by Keli Liu and Feng Ruan
Summary of Training Dynamics Of Nonlinear Contrastive Learning Model in the High Dimensional Limit, by Lineghuan Meng et al.
Summary of Signmusketeers: An Efficient Multi-stream Approach For Sign Language Translation at Scale, by Shester Gueuwou et al.
Summary of Non-autoregressive Personalized Bundle Generation, by Wenchuan Yang et al.
Summary of Unleashing the Denoising Capability Of Diffusion Prior For Solving Inverse Problems, by Jiawei Zhang et al.
Summary of Low Rank Multi-dictionary Selection at Scale, by Boya Ma et al.
Summary of Distributional Miplib: a Multi-domain Library For Advancing Ml-guided Milp Methods, by Weimin Huang et al.
Summary of Generative Lifting Of Multiview to 3d From Unknown Pose: Wrapping Nerf Inside Diffusion, by Xin Yuan et al.