Paper List

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Summary of Online Posterior Sampling with a Diffusion Prior, by Branislav Kveton et al.
Summary of Gas-norm: Score-driven Adaptive Normalization For Non-stationary Time Series Forecasting in Deep Learning, by Edoardo Urettini et al.
Summary of Learning Truncated Causal History Model For Video Restoration, by Amirhosein Ghasemabadi et al.
Summary of Taxonomy Tree Generation From Citation Graph, by Yuntong Hu et al.
Summary of Words That Represent Peace, by T. Prasad (1) et al.
Summary of Futurefill: Fast Generation From Convolutional Sequence Models, by Naman Agarwal et al.
Summary of Basis Sharing: Cross-layer Parameter Sharing For Large Language Model Compression, by Jingcun Wang et al.
Summary of Sgw-based Multi-task Learning in Vision Tasks, by Ruiyuan Zhang et al.
Summary of Hidden in Plain Text: Emergence & Mitigation Of Steganographic Collusion in Llms, by Yohan Mathew et al.
Summary of Discovering Message Passing Hierarchies For Mesh-based Physics Simulation, by Huayu Deng et al.
Summary of Reward-rag: Enhancing Rag with Reward Driven Supervision, by Thang Nguyen et al.
Summary of Dawin: Training-free Dynamic Weight Interpolation For Robust Adaptation, by Changdae Oh et al.
Summary of Improving Neural Optimal Transport Via Displacement Interpolation, by Jaemoo Choi et al.
Summary of Accelerating Deep Learning with Fixed Time Budget, by Muhammad Asif Khan et al.
Summary of Reconstructing Human Mobility Pattern: a Semi-supervised Approach For Cross-dataset Transfer Learning, by Xishun Liao et al.
Summary of Repurposing Foundation Model For Generalizable Medical Time Series Classification, by Nan Huang et al.
Summary of Dynamic Evidence Decoupling For Trusted Multi-view Learning, by Ying Liu et al.
Summary of P1-kan: An Effective Kolmogorov-arnold Network with Application to Hydraulic Valley Optimization, by Xavier Warin
Summary of Text-guided Diffusion Model For 3d Molecule Generation, by Yanchen Luo et al.
Summary of Mixture Of Attentions For Speculative Decoding, by Matthieu Zimmer et al.
Summary of Metadata Matters For Time Series: Informative Forecasting with Transformers, by Jiaxiang Dong et al.
Summary of Local Attention Mechanism: Boosting the Transformer Architecture For Long-sequence Time Series Forecasting, by Ignacio Aguilera-martos et al.
Summary of Can Mamba Always Enjoy the “free Lunch”?, by Ruifeng Ren et al.
Summary of A Global Medical Data Security and Privacy Preserving Standards Identification Framework For Electronic Healthcare Consumers, by Vinaytosh Mishra et al.
Summary of Robust Offline Imitation Learning From Diverse Auxiliary Data, by Udita Ghosh et al.
Summary of Minimax-optimal Trust-aware Multi-armed Bandits, by Changxiao Cai et al.
Summary of Real-world Benchmarks Make Membership Inference Attacks Fail on Diffusion Models, by Chumeng Liang and Jiaxuan You
Summary of Geometric Representation Condition Improves Equivariant Molecule Generation, by Zian Li et al.
Summary of Raft: Realistic Attacks to Fool Text Detectors, by James Wang et al.
Summary of System 2 Reasoning Capabilities Are Nigh, by Scott C. Lowe
Summary of Linear Independence Of Generalized Neurons and Related Functions, by Leyang Zhang
Summary of Combining Open-box Simulation and Importance Sampling For Tuning Large-scale Recommenders, by Kaushal Paneri et al.
Summary of Revisiting the Superficial Alignment Hypothesis, by Mohit Raghavendra et al.
Summary of Faitheval: Can Your Language Model Stay Faithful to Context, Even If “the Moon Is Made Of Marshmallows”, by Yifei Ming et al.
Summary of Topological Foundations Of Reinforcement Learning, by David Krame Kadurha
Summary of Beyond Scalar Reward Model: Learning Generative Judge From Preference Data, by Ziyi Ye et al.
Summary of Teuken-7b-base & Teuken-7b-instruct: Towards European Llms, by Mehdi Ali et al.
Summary of Task-adaptive Pretrained Language Models Via Clustered-importance Sampling, by David Grangier et al.
Summary of Mitigating Training Imbalance in Llm Fine-tuning Via Selective Parameter Merging, by Yiming Ju et al.
Summary of Khattat: Enhancing Readability and Concept Representation Of Semantic Typography, by Ahmed Hussein et al.
Summary of Machine Learning Classification Of Peaceful Countries: a Comparative Analysis and Dataset Optimization, by K. Lian (1) et al.
Summary of The Smart Buildings Control Suite: a Diverse Open Source Benchmark to Evaluate and Scale Hvac Control Policies For Sustainability, by Judah Goldfeder et al.
Summary of Denoising with a Joint-embedding Predictive Architecture, by Dengsheng Chen et al.
Summary of Stabilized Neural Prediction Of Potential Outcomes in Continuous Time, by Konstantin Hess and Stefan Feuerriegel
Summary of Classification-denoising Networks, by Louis Thiry and Florentin Guth
Summary of Fine-grained Expressive Power Of Weisfeiler-leman: a Homomorphism Counting Perspective, by Junru Zhou et al.
Summary of Building a Chinese Medical Dialogue System: Integrating Large-scale Corpora and Novel Models, by Xinyuan Wang et al.
Summary of Improving Online Bagging For Complex Imbalanced Data Stream, by Bartosz Przybyl and Jerzy Stefanowski
Summary of No Need to Talk: Asynchronous Mixture Of Language Models, by Anastasiia Filippova et al.
Summary of A Probabilistic Perspective on Unlearning and Alignment For Large Language Models, by Yan Scholten et al.
Summary of Artificial Intelligence Inspired Freeform Optics Design: a Review, by Lei Feng et al.
Summary of Exploration Implies Data Augmentation: Reachability and Generalisation in Contextual Mdps, by Max Weltevrede et al.
Summary of Towards Linguistically-aware and Language-independent Tokenization For Large Language Models (llms), by Abrar Rahman et al.
Summary of Teaching Transformers Modular Arithmetic at Scale, by Eshika Saxena et al.
Summary of Hyrespinns: Hybrid Residual Networks For Adaptive Neural and Rbf Integration in Solving Pdes, by Madison Cooley et al.
Summary of Understanding Reasoning in Chain-of-thought From the Hopfieldian View, by Lijie Hu et al.
Summary of Training Over a Distribution Of Hyperparameters For Enhanced Performance and Adaptability on Imbalanced Classification, by Kelsey Lieberman et al.
Summary of Nonstationary Sparse Spectral Permanental Process, by Zicheng Sun et al.
Summary of How Discrete and Continuous Diffusion Meet: Comprehensive Analysis Of Discrete Diffusion Models Via a Stochastic Integral Framework, by Yinuo Ren et al.
Summary of Ticking All the Boxes: Generated Checklists Improve Llm Evaluation and Generation, by Jonathan Cook et al.
Summary of What Matters For Model Merging at Scale?, by Prateek Yadav et al.
Summary of Large Language Model Performance Benchmarking on Mobile Platforms: a Thorough Evaluation, by Jie Xiao et al.
Summary of Open-world Reinforcement Learning Over Long Short-term Imagination, by Jiajian Li et al.
Summary of Ebes: Easy Benchmarking For Event Sequences, by Dmitry Osin et al.
Summary of Cayley Graph Propagation, by Jj Wilson et al.
Summary of Conformal Confidence Sets For Biomedical Image Segmentation, by Samuel Davenport
Summary of Predictive Coding For Decision Transformer, by Tung M. Luu et al.
Summary of A General Framework For Producing Interpretable Semantic Text Embeddings, by Yiqun Sun et al.
Summary of On Uncertainty in Natural Language Processing, by Dennis Ulmer
Summary of Zebra: In-context and Generative Pretraining For Solving Parametric Pdes, by Louis Serrano et al.
Summary of Mllm As Retriever: Interactively Learning Multimodal Retrieval For Embodied Agents, by Junpeng Yue et al.
Summary of Linear Transformer Topological Masking with Graph Random Features, by Isaac Reid et al.
Summary of Auto-gda: Automatic Domain Adaptation For Efficient Grounding Verification in Retrieval-augmented Generation, by Tobias Leemann et al.
Summary of Diffusion State-guided Projected Gradient For Inverse Problems, by Rayhan Zirvi et al.
Summary of Vulnerability Detection Via Topological Analysis Of Attention Maps, by Pavel Snopov et al.
Summary of S7: Selective and Simplified State Space Layers For Sequence Modeling, by Taylan Soydan et al.
Summary of On the Hardness Of Learning One Hidden Layer Neural Networks, by Shuchen Li et al.
Summary of Vedit: Latent Prediction Architecture For Procedural Video Representation Learning, by Han Lin et al.
Summary of A Multimodal Framework For Deepfake Detection, by Kashish Gandhi et al.
Summary of Fourier Pinns: From Strong Boundary Conditions to Adaptive Fourier Bases, by Madison Cooley et al.
Summary of Generative Artificial Intelligence For Navigating Synthesizable Chemical Space, by Wenhao Gao et al.
Summary of Collaborative and Efficient Personalization with Mixtures Of Adaptors, by Abdulla Jasem Almansoori et al.
Summary of Fedstein: Enhancing Multi-domain Federated Learning Through James-stein Estimator, by Sunny Gupta et al.
Summary of Elucidating the Design Choice Of Probability Paths in Flow Matching For Forecasting, by Soon Hoe Lim et al.
Summary of Neural Sampling From Boltzmann Densities: Fisher-rao Curves in the Wasserstein Geometry, by Jannis Chemseddine et al.
Summary of Test-time Adaptation For Regression by Subspace Alignment, By Kazuki Adachi et al.
Summary of Uniinf: Best-of-both-worlds Algorithm For Parameter-free Heavy-tailed Mabs, by Yu Chen and Jiatai Huang and Yan Dai and Longbo Huang
Summary of Enhanced Transformer Architecture For In-context Learning Of Dynamical Systems, by Matteo Rufolo et al.
Summary of Demystifying the Token Dynamics Of Deep Selective State Space Models, by Thieu N Vo et al.
Summary of Five Years Of Covid-19 Discourse on Instagram: a Labeled Instagram Dataset Of Over Half a Million Posts For Multilingual Sentiment Analysis, by Nirmalya Thakur
Summary of Resource-aware Mixed-precision Quantization For Enhancing Deployability Of Transformers For Time-series Forecasting on Embedded Fpgas, by Tianheng Ling et al.
Summary of Selu: Self-learning Embodied Mllms in Unknown Environments, by Boyu Li et al.
Summary of Selective Test-time Adaptation For Unsupervised Anomaly Detection Using Neural Implicit Representations, by Sameer Ambekar et al.
Summary of Quo Vadis, Motion Generation? From Large Language Models to Large Motion Models, by Ye Wang et al.
Summary of Influence-oriented Personalized Federated Learning, by Yue Tan et al.
Summary of Dolphin: a Programmable Framework For Scalable Neurosymbolic Learning, by Aaditya Naik et al.
Summary of Latent Abstractions in Generative Diffusion Models, by Giulio Franzese et al.
Summary of Make Interval Bound Propagation Great Again, by Patryk Krukowski et al.
Summary of Mitigating Adversarial Perturbations For Deep Reinforcement Learning Via Vector Quantization, by Tung M. Luu et al.
Summary of From Epilepsy Seizures Classification to Detection: a Deep Learning-based Approach For Raw Eeg Signals, by Davy Darankoum et al.