Paper List

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Summary of Riemannian Denoising Score Matching For Molecular Structure Optimization with Accurate Energy, by Jeheon Woo et al.
Summary of Perla: Perceptive 3d Language Assistant, by Guofeng Mei and Wei Lin and Luigi Riz and Yujiao Wu and Fabio Poiesi and Yiming Wang
Summary of Mote: Learning Motion-text Diffusion Model For Multiple Generation Tasks, by Yiming Wu et al.
Summary of Carel: Instruction-guided Reinforcement Learning with Cross-modal Auxiliary Objectives, by Armin Saghafian et al.
Summary of Gradalign For Training-free Model Performance Inference, by Yuxuan Li and Yunhui Guo
Summary of Tractable Agreement Protocols, by Natalie Collina et al.
Summary of Rethinking the Initialization Of Momentum in Federated Learning with Heterogeneous Data, by Chenguang Xiao and Shuo Wang
Summary of Recondreamer: Crafting World Models For Driving Scene Reconstruction Via Online Restoration, by Chaojun Ni et al.
Summary of Bootstraping Clustering Of Gaussians For View-consistent 3d Scene Understanding, by Wenbo Zhang et al.
Summary of Analysis Of High-dimensional Gaussian Labeled-unlabeled Mixture Model Via Message-passing Algorithm, by Xiaosi Gu and Tomoyuki Obuchi
Summary of Differentiable Causal Discovery For Latent Hierarchical Causal Models, by Parjanya Prashant et al.
Summary of Initialization Using Update Approximation Is a Silver Bullet For Extremely Efficient Low-rank Fine-tuning, by Kaustubh Ponkshe et al.
Summary of Solving Rubik’s Cube Without Tricky Sampling, by Yicheng Lin and Siyu Liang
Summary of Enhancing Sentiment Analysis in Bengali Texts: a Hybrid Approach Using Lexicon-based Algorithm and Pretrained Language Model Bangla-bert, by Hemal Mahmud and Hasan Mahmud
Summary of Lda-aqu: Adaptive Query-guided Upsampling Via Local Deformable Attention, by Zewen Du et al.
Summary of Fairdd: Fair Dataset Distillation Via Synchronized Matching, by Qihang Zhou et al.
Summary of Learned Random Label Predictions As a Neural Network Complexity Metric, by Marlon Becker and Benjamin Risse
Summary of Accelerating Multimodal Large Language Models Via Dynamic Visual-token Exit and the Empirical Findings, by Qiong Wu et al.
Summary of Cadam: Confidence-based Optimization For Online Learning, by Shaowen Wang et al.
Summary of On the Performance Analysis Of Momentum Method: a Frequency Domain Perspective, by Xianliang Li et al.
Summary of Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing, by Wenyi Mo et al.
Summary of Nonparametric Instrumental Regression Via Kernel Methods Is Minimax Optimal, by Dimitri Meunier et al.
Summary of Privacy-preserving Orthogonal Aggregation For Guaranteeing Gender Fairness in Federated Recommendation, by Siqing Zhang et al.
Summary of Sure-vqa: Systematic Understanding Of Robustness Evaluation in Medical Vqa Tasks, by Kim-celine Kahl et al.
Summary of Gated-attention Feature-fusion Based Framework For Poverty Prediction, by Muhammad Umer Ramzan et al.
Summary of Fast Mutual Information Computation For Large Binary Datasets, by Andre O. Falcao
Summary of Forensics Adapter: Adapting Clip For Generalizable Face Forgery Detection, by Xinjie Cui et al.
Summary of Fleximo: Towards Flexible Text-to-human Motion Video Generation, by Yuhang Zhang et al.
Summary of Random Feature Models with Learnable Activation Functions, by Zailin Ma et al.
Summary of Effective Fine-tuning Of Vision-language Models For Accurate Galaxy Morphology Analysis, by Ruoqi Wang et al.
Summary of Simple and Provable Scaling Laws For the Test-time Compute Of Large Language Models, by Yanxi Chen et al.
Summary of Interleaved-modal Chain-of-thought, by Jun Gao et al.
Summary of Diorama: Unleashing Zero-shot Single-view 3d Indoor Scene Modeling, by Qirui Wu et al.
Summary of An Approach Towards Learning K-means-friendly Deep Latent Representation, by Debapriya Roy
Summary of Cold: Causal Reasoning in Closed Daily Activities, by Abhinav Joshi and Areeb Ahmad and Ashutosh Modi
Summary of Gefm: Graph-enhanced Eeg Foundation Model, by Limin Wang et al.
Summary of Knowledge-data Fusion Based Source-free Semi-supervised Domain Adaptation For Seizure Subtype Classification, by Ruimin Peng et al.
Summary of Ditto: Motion-space Diffusion For Controllable Realtime Talking Head Synthesis, by Tianqi Li et al.
Summary of Retrieval-guided Cross-view Image Synthesis, by Hongji Yang et al.
Summary of Lokitalk: Learning Fine-grained and Generalizable Correspondences to Enhance Nerf-based Talking Head Synthesis, by Tianqi Li et al.
Summary of Rl-milp Solver: a Reinforcement Learning Approach For Solving Mixed-integer Linear Programs with Graph Neural Networks, by Tae-hoon Lee and Min-soo Kim
Summary of Discord: Discrete Tokens to Continuous Motion Via Rectified Flow Decoding, by Jungbin Cho et al.
Summary of Ragdiffusion: Faithful Cloth Generation Via External Knowledge Assimilation, by Xianfeng Tan et al.
Summary of Quota: Quantifying Objects with Text-to-image Models For Any Domain, by Wenfang Sun et al.
Summary of Development Of Low-cost Iot Units For Thermal Comfort Measurement and Ac Energy Consumption Prediction System, by Yutong Chen et al.
Summary of Skelmamba: a State Space Model For Efficient Skeleton Action Recognition Of Neurological Disorders, by Niki Martinel et al.
Summary of Deepfake Media Generation and Detection in the Generative Ai Era: a Survey and Outlook, by Florinel-alin Croitoru et al.
Summary of Towards a Mechanistic Explanation Of Diffusion Model Generalization, by Matthew Niedoba et al.
Summary of An Adversarial Learning Approach to Irregular Time-series Forecasting, by Heejeong Nam et al.
Summary of Clip Meets Dino For Tuning Zero-shot Classifier Using Unlabeled Image Collections, by Mohamed Fazli Imam et al.
Summary of Deniahl: In-context Features Influence Llm Needle-in-a-haystack Abilities, by Hui Dai et al.
Summary of Libra: Leveraging Temporal Images For Biomedical Radiology Analysis, by Xi Zhang et al.
Summary of Zero-forget Preservation Of Semantic Communication Alignment in Distributed Ai Networks, by Jingzhi Hu et al.
Summary of Dreamblend: Advancing Personalized Fine-tuning Of Text-to-image Diffusion Models, by Shwetha Ram et al.
Summary of Scale Invariance Of Graph Neural Networks, by Qin Jiang et al.
Summary of Concept-driven Off Policy Evaluation, by Ritam Majumdar et al.
Summary of On the Effectiveness Of Discrete Representations in Sparse Mixture Of Experts, by Giang Do et al.
Summary of Amo Sampler: Enhancing Text Rendering with Overshooting, by Xixi Hu et al.
Summary of Any-resolution Ai-generated Image Detection by Spectral Learning, By Dimitrios Karageorgiou et al.
Summary of Proto Successor Measure: Representing the Behavior Space Of An Rl Agent, by Siddhant Agarwal et al.
Summary of A Simple Sparse Matrix Vector Multiplication Approach to Padded Convolution, by Zan Chaudhry
Summary of Gradient Inversion Attack on Graph Neural Networks, by Divya Anand Sinha et al.
Summary of Adaptive Interactive Segmentation For Multimodal Medical Imaging Via Selection Engine, by Zhi Li et al.
Summary of Learning Visual Abstract Reasoning Through Dual-stream Networks, by Kai Zhao et al.
Summary of Autocorrelation Matters: Understanding the Role Of Initialization Schemes For State Space Models, by Fusheng Liu et al.
Summary of Multi-task Cnn Behavioral Embedding Model For Transaction Fraud Detection, by Bo Qu et al.
Summary of Forgerysleuth: Empowering Multimodal Large Language Models For Image Manipulation Detection, by Zhihao Sun et al.
Summary of Diesel — Dynamic Inference-guidance Via Evasion Of Semantic Embeddings in Llms, by Ben Ganon et al.
Summary of Aggregating Data For Optimal and Private Learning, by Sushant Agarwal et al.
Summary of Improving Sub-seasonal Wind-speed Forecasts in Europe with a Non-linear Model, by Ganglin Tian (1) et al.
Summary of Abroca Distributions For Algorithmic Bias Assessment: Considerations Around Interpretation, by Conrad Borchers and Ryan S. Baker
Summary of Neural Window Decoder For Sc-ldpc Codes, by Dae-young Yun et al.
Summary of Tracking Progress Towards Sustainable Development Goal 6 Using Satellite Imagery, by Othmane Echchabi et al.
Summary of Deep Learning For Gwp Prediction: a Framework Using Pca, Quantile Transformation, and Ensemble Modeling, by Navin Rajapriya et al.
Summary of Advancing Generalization in Pinns Through Latent-space Representations, by Honghui Wang et al.
Summary of Personalized Federated Fine-tuning For Llms Via Data-driven Heterogeneous Model Architectures, by Yicheng Zhang et al.
Summary of Puzzle: Distillation-based Nas For Inference-optimized Llms, by Akhiad Bercovich et al.
Summary of Desire: Dynamic Knowledge Consolidation For Rehearsal-free Continual Learning, by Haiyang Guo et al.
Summary of Large Width Penalization For Neural Network-based Prediction Interval Estimation, by Worachit Amnuaypongsa et al.
Summary of Convex Regularization and Convergence Of Policy Gradient Flows Under Safety Constraints, by Pekka Malo and Lauri Viitasaari and Antti Suominen and Eeva Vilkkumaa and Olli Tahvonen
Summary of Pre-training Graph Contrastive Masked Autoencoders Are Strong Distillers For Eeg, by Xinxu Wei et al.
Summary of On the Unknowable Limits to Prediction, by Jiani Yan and Charles Rahal
Summary of Controlling Participation in Federated Learning with Feedback, by Michael Cummins and Guner Dilsad Er and Michael Muehlebach
Summary of Contrastive Representations Of High-dimensional, Structured Treatments, by Oriol Corcoll Andreu et al.
Summary of Enhancing Parameter-efficient Fine-tuning Of Vision Transformers Through Frequency-based Adaptation, by Son Thai Ly and Hien V. Nguyen
Summary of Bpqp: a Differentiable Convex Optimization Framework For Efficient End-to-end Learning, by Jianming Pan et al.
Summary of Ld-ensf: Synergizing Latent Dynamics with Ensemble Score Filters For Fast Data Assimilation with Sparse Observations, by Pengpeng Xiao and Phillip Si and Peng Chen
Summary of Swarm Intelligence-driven Client Selection For Federated Learning in Cybersecurity Applications, by Koffka Khan and Wayne Goodridge
Summary of A Lean Dataset For International Math Olympiad: Small Steps Towards Writing Math Proofs For Hard Problems, by Roozbeh Yousefzadeh and Xuenan Cao and Azim Ospanov
Summary of A Comprehensive Survey Of Reinforcement Learning: From Algorithms to Practical Challenges, by Majid Ghasemi et al.
Summary of Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks, by Adam Karvonen et al.
Summary of Fedrgl: Robust Federated Graph Learning For Label Noise, by De Li et al.
Summary of Matata: a Weakly-supervised Mathematical Tool-assisted Reasoning For Tabular Applications, by Vishnou Vinayagame et al.
Summary of Vipaint: Image Inpainting with Pre-trained Diffusion Models Via Variational Inference, by Sakshi Agarwal et al.
Summary of Federated Continual Graph Learning, by Yinlin Zhu et al.
Summary of Iclerb: In-context Learning Embedding and Reranker Benchmark, by Marie Al Ghossein and Emile Contal and Alexandre Robicquet
Summary of Random Sampling For Diffusion-based Adversarial Purification, by Jiancheng Zhang et al.
Summary of Neurolifting: Neural Inference on Markov Random Fields at Scale, by Yaomin Wang et al.
Summary of Perception Of Visual Content: Differences Between Humans and Foundation Models, by Nardiena A. Pratama et al.
Summary of Intrinsic Gaussian Process Regression Modeling For Manifold-valued Response Variable, by Zhanfeng Wang and Xinyu Li and Hao Ding and Jian Qing Shi