Paper List

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Summary of Iterated Inla For State and Parameter Estimation in Nonlinear Dynamical Systems, by Rafael Anderka et al.
Summary of A Multi-fidelity Methodology For Reduced Order Models with High-dimensional Inputs, by Bilal Mufti et al.
Summary of Hyperdimensional Representation Learning For Node Classification and Link Prediction, by Abhishek Dalvi et al.
Summary of A Survey on Data Selection For Language Models, by Alon Albalak et al.
Summary of Training Neural Networks From Scratch with Parallel Low-rank Adapters, by Minyoung Huh et al.
Summary of Gistembed: Guided In-sample Selection Of Training Negatives For Text Embedding Fine-tuning, by Aivin V. Solatorio
Summary of Asymmetry in Low-rank Adapters Of Foundation Models, by Jiacheng Zhu et al.
Summary of Multi-lora Composition For Image Generation, by Ming Zhong et al.
Summary of Think Big, Generate Quick: Llm-to-slm For Fast Autoregressive Decoding, by Benjamin Bergner et al.
Summary of Neural Operators with Localized Integral and Differential Kernels, by Miguel Liu-schiaffini et al.
Summary of Interrogate: Learning to Share, Specialize, and Prune Representations For Multi-task Learning, by Babak Ehteshami Bejnordi et al.
Summary of Evogpt-f: An Evolutionary Gpt Framework For Benchmarking Formal Math Languages, by Johnathan Mercer
Summary of Besa: Pruning Large Language Models with Blockwise Parameter-efficient Sparsity Allocation, by Peng Xu et al.
Summary of Generative Models Are Self-watermarked: Declaring Model Authentication Through Re-generation, by Aditya Desu et al.
Summary of Chaotic Attractor Reconstruction Using Small Reservoirs — the Influence Of Topology, by Lina Jaurigue
Summary of Multi-task Learning For Routing Problem with Cross-problem Zero-shot Generalization, by Fei Liu et al.
Summary of Reliable Conflictive Multi-view Learning, by Cai Xu et al.
Summary of Prolora: Partial Rotation Empowers More Parameter-efficient Lora, by Sheng Wang et al.
Summary of A Priori Estimates For Deep Residual Network in Continuous-time Reinforcement Learning, by Shuyu Yin et al.
Summary of A Novel Data Generation Scheme For Surrogate Modelling with Deep Operator Networks, by Shivam Choubey et al.
Summary of Selective Task Offloading For Maximum Inference Accuracy and Energy Efficient Real-time Iot Sensing Systems, by Abdelkarim Ben Sada et al.
Summary of Procedural Adherence and Interpretability Through Neuro-symbolic Generative Agents, by Raven Rothkopf et al.
Summary of Impact Of Physical Activity on Quality Of Life During Pregnancy: a Causal Ml Approach, by Kianoosh Kazemi et al.
Summary of Contextualized Diffusion Models For Text-guided Image and Video Generation, by Ling Yang et al.
Summary of Differentiable Particle Filtering Using Optimal Placement Resampling, by Domonkos Csuzdi et al.
Summary of Penalized Generative Variable Selection, by Tong Wang et al.
Summary of Program-based Strategy Induction For Reinforcement Learning, by Carlos G. Correa and Thomas L. Griffiths and Nathaniel D. Daw
Summary of Enhancing Continuous Domain Adaptation with Multi-path Transfer Curriculum, by Hanbing Liu et al.
Summary of On the Connection Between Noise-contrastive Estimation and Contrastive Divergence, by Amanda Olmin et al.
Summary of Selectit: Selective Instruction Tuning For Llms Via Uncertainty-aware Self-reflection, by Liangxin Liu et al.
Summary of Cost Aware Best Arm Identification, by Kellen Kanarios et al.
Summary of L1-norm Regularized L1-norm Best-fit Lines, by Xiao Ling et al.
Summary of Towards Empirical Interpretation Of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials, by Hiroki Furuta et al.
Summary of On the Growth Of Mistakes in Differentially Private Online Learning: a Lower Bound Perspective, by Daniil Dmitriev et al.
Summary of Enhancing Hypergradients Estimation: a Study Of Preconditioning and Reparameterization, by Zhenzhang Ye et al.
Summary of Carte: Pretraining and Transfer For Tabular Learning, by Myung Jun Kim et al.
Summary of Why Transformers Need Adam: a Hessian Perspective, by Yushun Zhang et al.
Summary of Craftax: a Lightning-fast Benchmark For Open-ended Reinforcement Learning, by Michael Matthews and Michael Beukman and Benjamin Ellis and Mikayel Samvelyan and Matthew Jackson and Samuel Coward and Jakob Foerster
Summary of Rate-optimal Rank Aggregation with Private Pairwise Rankings, by Shirong Xu et al.
Summary of Stopping Bayesian Optimization with Probabilistic Regret Bounds, by James T. Wilson
Summary of Rainbow Teaming: Open-ended Generation Of Diverse Adversarial Prompts, by Mikayel Samvelyan et al.
Summary of Nemotron-4 15b Technical Report, by Jupinder Parmar and Shrimai Prabhumoye and Joseph Jennings and Mostofa Patwary and Sandeep Subramanian and Dan Su and Chen Zhu and Deepak Narayanan and Aastha Jhunjhunwala and Ayush Dattagupta and Vibhu Jawa and Jiwei Liu and Ameya Mahabaleshwarkar and Osvald Nitski and Annika Brundyn and James Maki and Miguel Martinez and Jiaxuan You and John Kamalu and Patrick Legresley and Denys Fridman and Jared Casper and Ashwath Aithal and Oleksii Kuchaiev and Mohammad Shoeybi and Jonathan Cohen and Bryan Catanzaro
Summary of Language Agents As Optimizable Graphs, by Mingchen Zhuge et al.
Summary of Language-guided Skill Learning with Temporal Variational Inference, by Haotian Fu et al.
Summary of An Integrated Data Processing Framework For Pretraining Foundation Models, by Yiding Sun et al.
Summary of C-gail: Stabilizing Generative Adversarial Imitation Learning with Control Theory, by Tianjiao Luo et al.
Summary of Where Do We Go From Here? Multi-scale Allocentric Relational Inference From Natural Spatial Descriptions, by Tzuf Paz-argaman et al.
Summary of Feedback Efficient Online Fine-tuning Of Diffusion Models, by Masatoshi Uehara et al.
Summary of Generative Ai in Vision: a Survey on Models, Metrics and Applications, by Gaurav Raut and Apoorv Singh
Summary of Graph Learning Under Distribution Shifts: a Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning, by Man Wu et al.
Summary of Self Supervised Correlation-based Permutations For Multi-view Clustering, by Ran Eisenberg et al.
Summary of Graph Learning with Distributional Edge Layouts, by Xinjian Zhao et al.
Summary of On the Generalization Capability Of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method, by Weilin Cong et al.
Summary of Stable Training Of Normalizing Flows For High-dimensional Variational Inference, by Daniel Andrade
Summary of Totem: Tokenized Time Series Embeddings For General Time Series Analysis, by Sabera Talukder and Yisong Yue and Georgia Gkioxari
Summary of Learning to Schedule Online Tasks with Bandit Feedback, by Yongxin Xu et al.
Summary of Generative Pretrained Hierarchical Transformer For Time Series Forecasting, by Zhiding Liu et al.
Summary of Label Learning Method Based on Tensor Projection, by Jing Li and Quanxue Gao and Qianqian Wang and Cheng Deng and Deyan Xie
Summary of Qf-tuner: Breaking Tradition in Reinforcement Learning, by Mahmood A. Jumaah et al.
Summary of Partial Rankings Of Optimizers, by Julian Rodemann and Hannah Blocher
Summary of Pretrained Visual Uncertainties, by Michael Kirchhof and Mark Collier and Seong Joon Oh and Enkelejda Kasneci
Summary of Searching a Lightweight Network Architecture For Thermal Infrared Pedestrian Tracking, by Wen-jia Tang et al.
Summary of Multi-bit Distortion-free Watermarking For Large Language Models, by Massieh Kordi Boroujeny et al.
Summary of Deep Neural Network Initialization with Sparsity Inducing Activations, by Ilan Price et al.
Summary of Distribution-free Fair Federated Learning with Small Samples, by Qichuan Yin et al.
Summary of How Can Llm Guide Rl? a Value-based Approach, by Shenao Zhang et al.
Summary of Combining Machine Learning with Computational Fluid Dynamics Using Openfoam and Smartsim, by Tomislav Maric and Mohammed Elwardi Fadeli and Alessandro Rigazzi and Andrew Shao and Andre Weiner
Summary of Garnn: An Interpretable Graph Attentive Recurrent Neural Network For Predicting Blood Glucose Levels Via Multivariate Time Series, by Chengzhe Piao et al.
Summary of Active Level Set Estimation For Continuous Search Space with Theoretical Guarantee, by Giang Ngo et al.
Summary of Learning Translations: Emergent Communication Pretraining For Cooperative Language Acquisition, by Dylan Cope and Peter Mcburney
Summary of Watch Your Head: Assembling Projection Heads to Save the Reliability Of Federated Models, by Jinqian Chen et al.
Summary of Foundation Model Transparency Reports, by Rishi Bommasani et al.
Summary of From Large Language Models and Optimization to Decision Optimization Copilot: a Research Manifesto, by Segev Wasserkrug et al.
Summary of A Self-matching Training Method with Annotation Embedding Models For Ontology Subsumption Prediction, by Yukihiro Shiraishi et al.
Summary of Conformalized Selective Regression, by Anna Sokol et al.
Summary of A Poisson-gamma Dynamic Factor Model with Time-varying Transition Dynamics, by Jiahao Wang et al.
Summary of Graph Diffusion Policy Optimization, by Yijing Liu et al.
Summary of Referee Can Play: An Alternative Approach to Conditional Generation Via Model Inversion, by Xuantong Liu et al.
Summary of Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users, by Hantao Yang et al.
Summary of Replay: Modeling Time-varying Temporal Regularities Of Human Mobility For Location Prediction Over Sparse Trajectories, by Bangchao Deng et al.
Summary of A Provably Accurate Randomized Sampling Algorithm For Logistic Regression, by Agniva Chowdhury et al.
Summary of Achieving Instance-dependent Sample Complexity For Constrained Markov Decision Process, by Jiashuo Jiang and Yinyu Ye
Summary of Boosting Graph Pooling with Persistent Homology, by Chaolong Ying et al.
Summary of Deep Contrastive Graph Learning with Clustering-oriented Guidance, by Mulin Chen et al.
Summary of Building Flexible Machine Learning Models For Scientific Computing at Scale, by Tianyu Chen et al.
Summary of Spectrum Extraction and Clipping For Implicitly Linear Layers, by Ali Ebrahimpour Boroojeny et al.
Summary of A Step-by-step Introduction to the Implementation Of Automatic Differentiation, by Yu-hsueh Fang et al.
Summary of Feature Selection Based on Orthogonal Constraints and Polygon Area, by Zhenxing Zhang and Jun Ge and Zheng Wei and Chunjie Zhou and Yilei Wang
Summary of Deep Learning Approaches For Improving Question Answering Systems in Hepatocellular Carcinoma Research, by Shuning Huo et al.
Summary of Higpt: Heterogeneous Graph Language Model, by Jiabin Tang et al.
Summary of Detecting Machine-generated Texts by Multi-population Aware Optimization For Maximum Mean Discrepancy, By Shuhai Zhang et al.
Summary of How Likely Do Llms with Cot Mimic Human Reasoning?, by Guangsheng Bao et al.
Summary of Training a Bilingual Language Model by Mapping Tokens Onto a Shared Character Space, By Aviad Rom and Kfir Bar
Summary of Gradient-enhanced Deep Gaussian Processes For Multifidelity Modelling, by Viv Bone et al.
Summary of Equivariant Frames and the Impossibility Of Continuous Canonicalization, by Nadav Dym and Hannah Lawrence and Jonathan W. Siegel
Summary of Don’t Start From Scratch: Behavioral Refinement Via Interpolant-based Policy Diffusion, by Kaiqi Chen et al.
Summary of Beyond Spatio-temporal Representations: Evolving Fourier Transform For Temporal Graphs, by Anson Bastos et al.
Summary of Key Design Choices in Source-free Unsupervised Domain Adaptation: An In-depth Empirical Analysis, by Andrea Maracani et al.
Summary of Bayesian Neural Network For Personalized Federated Learning Parameter Selection, by Mengen Luo et al.
Summary of Towards Automated Knowledge Integration From Human-interpretable Representations, by Katarzyna Kobalczyk et al.