Paper List

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Summary of Unsupervised Novelty Detection Methods Benchmarking with Wavelet Decomposition, by Ariel Priarone et al.
Summary of A Perspective on Ai-guided Molecular Simulations in Vr: Exploring Strategies For Imitation Learning in Hyperdimensional Molecular Systems, by Mohamed Dhouioui et al.
Summary of Recurrent Aggregators in Neural Algorithmic Reasoning, by Kaijia Xu et al.
Summary of Unsupervised Representation Learning Of Complex Time Series For Maneuverability State Identification in Smart Mobility, by Thabang Lebese
Summary of Data-efficient and Interpretable Inverse Materials Design Using a Disentangled Variational Autoencoder, by Cheng Zeng et al.
Summary of Easyst: a Simple Framework For Spatio-temporal Prediction, by Jiabin Tang et al.
Summary of Personalized Knowledge Tracing Through Student Representation Reconstruction and Class Imbalance Mitigation, by Zhiyu Chen et al.
Summary of Decentralized Neural Networks For Robust and Scalable Eigenvalue Computation, by Ronald Katende
Summary of The Weak Form Is Stronger Than You Think, by Daniel A. Messenger et al.
Summary of Scaling Law Hypothesis For Multimodal Model, by Qingyun Sun et al.
Summary of Human Motion Synthesis_ a Diffusion Approach For Motion Stitching and In-betweening, by Michael Adewole et al.
Summary of Beyond Designer’s Knowledge: Generating Materials Design Hypotheses Via Large Language Models, by Quanliang Liu et al.
Summary of Adaptive Meta-domain Transfer Learning (amdtl): a Novel Approach For Knowledge Transfer in Ai, by Michele Laurelli
Summary of Personalized Federated Learning Techniques: Empirical Analysis, by Azal Ahmad Khan et al.
Summary of Noisy Early Stopping For Noisy Labels, by William Toner et al.
Summary of Towards Understanding Human Emotional Fluctuations with Sparse Check-in Data, by Sagar Paresh Shah et al.
Summary of Stratospheric Aerosol Source Inversion: Noise, Variability, and Uncertainty Quantification, by J. Hart et al.
Summary of The Competition Complexity Of Prophet Inequalities with Correlations, by Tomer Ezra and Tamar Garbuz
Summary of A Dataset For Evaluating Llm-based Evaluation Functions For Research Question Extraction Task, by Yuya Fujisaki et al.
Summary of Enhanced Pix2pix Gan For Visual Defect Removal in Uav-captured Images, by Volodymyr Rizun
Summary of Semi-supervised Reward Modeling Via Iterative Self-training, by Yifei He et al.
Summary of Learning Deep Kernels For Non-parametric Independence Testing, by Nathaniel Xu and Feng Liu and Danica J. Sutherland
Summary of Applied Federated Model Personalisation in the Industrial Domain: a Comparative Study, by Ilias Siniosoglou et al.
Summary of A Short Information-theoretic Analysis Of Linear Auto-regressive Learning, by Ingvar Ziemann
Summary of Aligning Machine and Human Visual Representations Across Abstraction Levels, by Lukas Muttenthaler et al.
Summary of Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout, by Atharva Gundawar et al.
Summary of Mensa: a Multi-event Network For Survival Analysis with Trajectory-based Likelihood Estimation, by Christian Marius Lillelund et al.
Summary of Deep Learning For Koopman Operator Estimation in Idealized Atmospheric Dynamics, by David Millard et al.
Summary of Dynamic Decoupling Of Placid Terminal Attractor-based Gradient Descent Algorithm, by Jinwei Zhao (1) et al.
Summary of A Primer on Variational Inference For Physics-informed Deep Generative Modelling, by Alex Glyn-davies et al.
Summary of Advancing Causal Inference: a Nonparametric Approach to Ate and Cate Estimation with Continuous Treatments, by Hugo Gobato Souto and Francisco Louzada Neto
Summary of Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement Using Electronic Health Records, by Zoe Hancox et al.
Summary of Alleviating Hallucinations in Large Language Models with Scepticism Modeling, by Yetao Wu et al.
Summary of Label-free Monitoring Of Self-supervised Learning Progress, by Isaac Xu et al.
Summary of Improving the Precision Of Cnns For Magnetic Resonance Spectral Modeling, by John Lamaster et al.
Summary of Hierarchical Multi-label Classification with Missing Information For Benthic Habitat Imagery, by Isaac Xu et al.
Summary of A Practice Of Post-training on Llama-3 70b with Optimal Selection Of Additional Language Mixture Ratio, by Ningyuan Xi et al.
Summary of Da-moe: Towards Dynamic Expert Allocation For Mixture-of-experts Models, by Maryam Akhavan Aghdam et al.
Summary of Hybridfc: a Hybrid Fact-checking Approach For Knowledge Graphs, by Umair Qudus et al.
Summary of Geometric-averaged Preference Optimization For Soft Preference Labels, by Hiroki Furuta et al.
Summary of Dance: Deep Learning-assisted Analysis Of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images, by Taslim Murad et al.
Summary of Feedback-based Modal Mutual Search For Attacking Vision-language Pre-training Models, by Renhua Ding et al.
Summary of Gating Syn-to-real Knowledge For Pedestrian Crossing Prediction in Safe Driving, by Jie Bai et al.
Summary of Mip-gaf: a Mllm-annotated Benchmark For Most Important Person Localization and Group Context Understanding, by Surbhi Madan et al.
Summary of Recurrent Neural Networks For Still Images, by Dmitri (dima) Lvov et al.
Summary of Towards Robust Uncertainty-aware Incomplete Multi-view Classification, by Mulin Chen et al.
Summary of Dipt: Enhancing Llm Reasoning Through Diversified Perspective-taking, by Hoang Anh Just et al.
Summary of A New Paradigm For Global Sensitivity Analysis, by Gildas Mazo (maiage)
Summary of Ferret: Federated Full-parameter Tuning at Scale For Large Language Models, by Yao Shu et al.
Summary of Automated Data Augmentation For Few-shot Time Series Forecasting: a Reinforcement Learning Approach Guided by a Model Zoo, By Haochen Yuan et al.
Summary of Pharmacomatch: Efficient 3d Pharmacophore Screening Via Neural Subgraph Matching, by Daniel Rose et al.
Summary of Rate-constrained Quantization For Communication-efficient Federated Learning, by Shayan Mohajer Hamidi et al.
Summary of Lamp: Learnable Meta-path Guided Adversarial Contrastive Learning For Heterogeneous Graphs, by Siqing Li et al.
Summary of Modified Meta-thompson Sampling For Linear Bandits and Its Bayes Regret Analysis, by Hao Li et al.
Summary of Improving Conditional Level Generation Using Automated Validation in Match-3 Games, by Monica Villanueva Aylagas et al.
Summary of Double Successive Over-relaxation Q-learning with An Extension to Deep Reinforcement Learning, by Shreyas S R
Summary of Connecting Concept Convexity and Human-machine Alignment in Deep Neural Networks, by Teresa Dorszewski et al.
Summary of What Happens to Diffusion Model Likelihood When Your Model Is Conditional?, by Mattias Cross and Anton Ragni
Summary of Symmetry Breaking in Neural Network Optimization: Insights From Input Dimension Expansion, by Jun-jie Zhang et al.
Summary of Length Desensitization in Direct Preference Optimization, by Wei Liu et al.
Summary of Sources Of Uncertainty in 3d Scene Reconstruction, by Marcus Klasson et al.
Summary of Extending Explainable Ensemble Trees (e2tree) to Regression Contexts, by Massimo Aria et al.
Summary of A Machine Learning Based Approach For Statistical Analysis Of Detonation Cells From Soot Foils, by Vansh Sharma et al.
Summary of Mllm-llava-fl: Multimodal Large Language Model Assisted Federated Learning, by Jianyi Zhang et al.
Summary of Statistical Mechanics Of Min-max Problems, by Yuma Ichikawa and Koji Hukushima
Summary of Privacy-preserving Data Linkage Across Private and Public Datasets For Collaborative Agriculture Research, by Osama Zafar et al.
Summary of Mtlso: a Multi-task Learning Approach For Logic Synthesis Optimization, by Faezeh Faez et al.
Summary of Detoxbench: Benchmarking Large Language Models For Multitask Fraud & Abuse Detection, by Joymallya Chakraborty et al.
Summary of Differentiable Programming Across the Pde and Machine Learning Barrier, by Nacime Bouziani et al.
Summary of Symmetry Constrained Neural Networks For Detection and Localization Of Damage in Metal Plates, by James Amarel et al.
Summary of Contrastive Federated Learning with Tabular Data Silos, by Achmad Ginanjar et al.
Summary of Scalable Multitask Learning Using Gradient-based Estimation Of Task Affinity, by Dongyue Li et al.
Summary of Decollage: 3d Detailization by Controllable, Localized, and Learned Geometry Enhancement, By Qimin Chen et al.
Summary of Configuration Interaction Guided Sampling with Interpretable Restricted Boltzmann Machine, by Jorge I. Hernandez-martinez et al.
Summary of Variational Search Distributions, by Daniel M. Steinberg et al.
Summary of Mcdgln: Masked Connection-based Dynamic Graph Learning Network For Autism Spectrum Disorder, by Peng Wang et al.
Summary of Ve: Modeling Multivariate Time Series Correlation with Variate Embedding, by Shangjiong Wang et al.
Summary of Loss Distillation Via Gradient Matching For Point Cloud Completion with Weighted Chamfer Distance, by Fangzhou Lin et al.
Summary of Can Large Language Models Unlock Novel Scientific Research Ideas?, by Sandeep Kumar et al.
Summary of Bottleneck-based Encoder-decoder Architecture (bear) For Learning Unbiased Consumer-to-consumer Image Representations, by Pablo Rivas et al.
Summary of Adaptive Transformer Modelling Of Density Function For Nonparametric Survival Analysis, by Xin Zhang et al.
Summary of Stun: Structured-then-unstructured Pruning For Scalable Moe Pruning, by Jaeseong Lee et al.
Summary of Denoising: a Powerful Building-block For Imaging, Inverse Problems, and Machine Learning, by Peyman Milanfar and Mauricio Delbracio
Summary of A Dual-path Neural Network Model to Construct the Flame Nonlinear Thermoacoustic Response in the Time Domain, by Jiawei Wu et al.
Summary of Simplex-enabled Safe Continual Learning Machine, by Hongpeng Cao et al.
Summary of Memory-optimized Once-for-all Network, by Maxime Girard et al.
Summary of Programming Refusal with Conditional Activation Steering, by Bruce W. Lee et al.
Summary of Opal: Outlier-preserved Microscaling Quantization Accelerator For Generative Large Language Models, by Jahyun Koo et al.
Summary of Towards Narrowing the Generalization Gap in Deep Boolean Networks, by Youngsung Kim
Summary of Faster Q-learning Algorithms For Restless Bandits, by Parvish Kakarapalli et al.
Summary of Developing An Explainable Artificial Intelligent (xai) Model For Predicting Pile Driving Vibrations in Bangkok’s Subsoil, by Sompote Youwai and Anuwat Pamungmoon
Summary of Svfit: Parameter-efficient Fine-tuning Of Large Pre-trained Models Using Singular Values, by Chengwei Sun et al.
Summary of Stllm-df: a Spatial-temporal Large Language Model with Diffusion For Enhanced Multi-mode Traffic System Forecasting, by Zhiqi Shao et al.
Summary of Machine Learning Based Optimal Design Of Fibrillar Adhesives, by Mohammad Shojaeifard et al.
Summary of Alt-moe:a Scalable Framework For Bidirectional Multimodal Alignment and Efficient Knowledge Integration, by Hongyang Lei et al.
Summary of Self-supervised State Space Model For Real-time Traffic Accident Prediction Using Ekan Networks, by Xin Tan et al.
Summary of A Small Claims Court For the Nlp: Judging Legal Text Classification Strategies with Small Datasets, by Mariana Yukari Noguti and Edduardo Vellasques and Luiz Eduardo Soares Oliveira
Summary of Codicast: Conditional Diffusion Model For Global Weather Prediction with Uncertainty Quantification, by Jimeng Shi et al.
Summary of Flora: Federated Fine-tuning Large Language Models with Heterogeneous Low-rank Adaptations, by Ziyao Wang et al.
Summary of Bridging Rested and Restless Bandits with Graph-triggering: Rising and Rotting, by Gianmarco Genalti and Marco Mussi and Nicola Gatti and Marcello Restelli and Matteo Castiglioni and Alberto Maria Metelli