Paper List

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Summary of A Systematic Bias Of Machine Learning Regression Models and Its Correction: An Application to Imaging-based Brain Age Prediction, by Hwiyoung Lee et al.
Summary of Cfgs: Causality Constrained Counterfactual Explanations Using Goal-directed Asp, by Sopam Dasgupta et al.
Summary of Robust Width: a Lightweight and Certifiable Adversarial Defense, by Jonathan Peck et al.
Summary of Enhancing Visual-language Modality Alignment in Large Vision Language Models Via Self-improvement, by Xiyao Wang et al.
Summary of Information-theoretic Generalization Analysis For Expected Calibration Error, by Futoshi Futami et al.
Summary of Infinite Limits Of Multi-head Transformer Dynamics, by Blake Bordelon et al.
Summary of Models That Prove Their Own Correctness, by Noga Amit et al.
Summary of Hierarchical Uncertainty Exploration Via Feedforward Posterior Trees, by Elias Nehme et al.
Summary of Anomalous Change Point Detection Using Probabilistic Predictive Coding, by Roelof G. Hup et al.
Summary of Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks, by Jerome Sieber et al.
Summary of Neural Persistence Dynamics, by Sebastian Zeng et al.
Summary of Cafe: Cost and Age Aware Federated Learning, by Sahan Liyanaarachchi et al.
Summary of Sparse Maximal Update Parameterization: a Holistic Approach to Sparse Training Dynamics, by Nolan Dey and Shane Bergsma and Joel Hestness
Summary of Filtered Corpus Training (fict) Shows That Language Models Can Generalize From Indirect Evidence, by Abhinav Patil and Jaap Jumelet and Yu Ying Chiu and Andy Lapastora and Peter Shen and Lexie Wang and Clevis Willrich and Shane Steinert-threlkeld
Summary of Score-based Generative Models Are Provably Robust: An Uncertainty Quantification Perspective, by Nikiforos Mimikos-stamatopoulos et al.
Summary of Wasserstein Distances, Neuronal Entanglement, and Sparsity, by Shashata Sawmya et al.
Summary of Improved Particle Approximation Error For Mean Field Neural Networks, by Atsushi Nitanda
Summary of Scaling Laws For Discriminative Classification in Large Language Models, by Dean Wyatte et al.
Summary of Sequence Length Scaling in Vision Transformers For Scientific Images on Frontier, by Aristeidis Tsaris et al.
Summary of Semantic Objective Functions: a Distribution-aware Method For Adding Logical Constraints in Deep Learning, by Miguel Angel Mendez-lucero et al.
Summary of Canonical Variates in Wasserstein Metric Space, by Jia Li and Lin Lin
Summary of Reinforcing Language Agents Via Policy Optimization with Action Decomposition, by Muning Wen et al.
Summary of Efficient Mitigation Of Bus Bunching Through Setter-based Curriculum Learning, by Avidan Shah et al.
Summary of Causalconceptts: Causal Attributions For Time Series Classification Using High Fidelity Diffusion Models, by Juan Miguel Lopez Alcaraz et al.
Summary of Transfer Learning For Spatial Autoregressive Models with Application to U.s. Presidential Election Prediction, by Hao Zeng et al.
Summary of Kronecker-factored Approximate Curvature For Physics-informed Neural Networks, by Felix Dangel et al.
Summary of Fast-pgm: Fast Probabilistic Graphical Model Learning and Inference, by Jiantong Jiang et al.
Summary of Neuromorphic Dreaming: a Pathway to Efficient Learning in Artificial Agents, by Ingo Blakowski et al.
Summary of Automatic Data Curation For Self-supervised Learning: a Clustering-based Approach, by Huy V. Vo et al.
Summary of Mlps Learn In-context on Regression and Classification Tasks, by William L. Tong and Cengiz Pehlevan
Summary of Inverse-rlignment: Large Language Model Alignment From Demonstrations Through Inverse Reinforcement Learning, by Hao Sun et al.
Summary of Nonlinear Denoising Score Matching For Enhanced Learning Of Structured Distributions, by Jeremiah Birrell et al.
Summary of Visualize and Paint Gan Activations, by Rudolf Herdt et al.
Summary of Federated Behavioural Planes: Explaining the Evolution Of Client Behaviour in Federated Learning, by Dario Fenoglio et al.
Summary of Scalable Diffusion Posterior Sampling in Infinite-dimensional Inverse Problems, by Fabian Schneider and Duc-lam Duong and Matti Lassas and Maarten V. De Hoop and Tapio Helin
Summary of Effective Confidence Region Prediction Using Probability Forecasters, by David Lindsay et al.
Summary of Harnessing Increased Client Participation with Cohort-parallel Federated Learning, by Akash Dhasade et al.
Summary of Class Machine Unlearning For Complex Data Via Concepts Inference and Data Poisoning, by Wenhan Chang et al.
Summary of Taming Score-based Diffusion Priors For Infinite-dimensional Nonlinear Inverse Problems, by Lorenzo Baldassari et al.
Summary of Consistency Of Neural Causal Partial Identification, by Jiyuan Tan et al.
Summary of The Road Less Scheduled, by Aaron Defazio et al.
Summary of Chain-of-thought Prompting For Demographic Inference with Large Multimodal Models, by Yongsheng Yu et al.
Summary of Dimension-free Deterministic Equivalents and Scaling Laws For Random Feature Regression, by Leonardo Defilippis et al.
Summary of The Impact Of Geometric Complexity on Neural Collapse in Transfer Learning, by Michael Munn et al.
Summary of Learning Beyond Pattern Matching? Assaying Mathematical Understanding in Llms, by Siyuan Guo et al.
Summary of Towards Natural Machine Unlearning, by Zhengbao He and Tao Li and Xinwen Cheng and Zhehao Huang and Xiaolin Huang
Summary of Revisiting Counterfactual Regression Through the Lens Of Gromov-wasserstein Information Bottleneck, by Hao Yang et al.
Summary of On the Convexity and Reliability Of the Bethe Free Energy Approximation, by Harald Leisenberger and Christian Knoll and Franz Pernkopf
Summary of Learning to Discretize Denoising Diffusion Odes, by Vinh Tong and Trung-dung Hoang and Anji Liu and Guy Van Den Broeck and Mathias Niepert
Summary of Chatgpt Code Detection: Techniques For Uncovering the Source Of Code, by Marc Oedingen et al.
Summary of Mosaic Memory: Fuzzy Duplication in Copyright Traps For Large Language Models, by Igor Shilov et al.
Summary of Polyp Segmentation Generalisability Of Pretrained Backbones, by Edward Sanderson and Bogdan J. Matuszewski
Summary of A Generalized Neural Tangent Kernel For Surrogate Gradient Learning, by Luke Eilers et al.
Summary of Bundle Neural Networks For Message Diffusion on Graphs, by Jacob Bamberger et al.
Summary of Thinking Forward: Memory-efficient Federated Finetuning Of Language Models, by Kunjal Panchal et al.
Summary of Certifiably Robust Rag Against Retrieval Corruption, by Chong Xiang et al.
Summary of Learning From Linear Algebra: a Graph Neural Network Approach to Preconditioner Design For Conjugate Gradient Solvers, by Vladislav Trifonov et al.
Summary of Transfer Learning with Informative Priors: Simple Baselines Better Than Previously Reported, by Ethan Harvey et al.
Summary of Rethinking Independent Cross-entropy Loss For Graph-structured Data, by Rui Miao et al.
Summary of Dager: Exact Gradient Inversion For Large Language Models, by Ivo Petrov and Dimitar I. Dimitrov et al.
Summary of Efficient Adversarial Training in Llms with Continuous Attacks, by Sophie Xhonneux et al.
Summary of Microadam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence, by Ionut-vlad Modoranu et al.
Summary of Mcdfn: Supply Chain Demand Forecasting Via An Explainable Multi-channel Data Fusion Network Model, by Md Abrar Jahin et al.
Summary of On the Computational Landscape Of Replicable Learning, by Alkis Kalavasis et al.
Summary of Fine-grained Dynamic Framework For Bias-variance Joint Optimization on Data Missing Not at Random, by Mingming Ha et al.
Summary of Towards Client Driven Federated Learning, by Songze Li et al.
Summary of Smoothed Online Classification Can Be Harder Than Batch Classification, by Vinod Raman et al.
Summary of Model-free Reinforcement Learning with Noisy Actions For Automated Experimental Control in Optics, by Lea Richtmann et al.
Summary of Enhancing Pollinator Conservation Towards Agriculture 4.0: Monitoring Of Bees Through Object Recognition, by Ajay John Alex et al.
Summary of Counterexample-guided Repair Of Reinforcement Learning Systems Using Safety Critics, by David Boetius and Stefan Leue
Summary of E(n) Equivariant Topological Neural Networks, by Claudio Battiloro et al.
Summary of Comparing Remote Sensing-based Forest Biomass Mapping Approaches Using New Forest Inventory Plots in Contrasting Forests in Northeastern and Southwestern China, by Wenquan Dong et al.
Summary of Statistical and Computational Guarantees Of Kernel Max-sliced Wasserstein Distances, by Jie Wang and March Boedihardjo and Yao Xie
Summary of Fairness-accuracy Trade-offs: a Causal Perspective, by Drago Plecko et al.
Summary of Hyperinterval: Hypernetwork Approach to Training Weight Interval Regions in Continual Learning, by Patryk Krukowski et al.
Summary of Mind the Gap: a Causal Perspective on Bias Amplification in Prediction & Decision-making, by Drago Plecko et al.
Summary of Fedcal: Achieving Local and Global Calibration in Federated Learning Via Aggregated Parameterized Scaler, by Hongyi Peng et al.
Summary of Leveraging Logical Rules in Knowledge Editing: a Cherry on the Top, by Keyuan Cheng et al.
Summary of Repetita Iuvant: Data Repetition Allows Sgd to Learn High-dimensional Multi-index Functions, by Luca Arnaboldi et al.
Summary of Unlearning During Learning: An Efficient Federated Machine Unlearning Method, by Hanlin Gu et al.
Summary of Encoder Embedding For General Graph and Node Classification, by Cencheng Shen
Summary of Editable Concept Bottleneck Models, by Lijie Hu et al.
Summary of Fundamental Computational Limits Of Weak Learnability in High-dimensional Multi-index Models, by Emanuele Troiani et al.
Summary of Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks, by Jialin Zhao et al.
Summary of Trajectory-based Multi-objective Hyperparameter Optimization For Model Retraining, by Wenyu Wang et al.
Summary of Unlearning Concepts in Diffusion Model Via Concept Domain Correction and Concept Preserving Gradient, by Yongliang Wu et al.
Summary of Spectraformer: a Unified Random Feature Framework For Transformer, by Duke Nguyen et al.
Summary of Multi-feature Fusion and Compressed Bi-lstm For Memory-efficient Heartbeat Classification on Wearable Devices, by Reza Nikandish et al.
Summary of Decaf: Data Distribution Decompose Attack Against Federated Learning, by Zhiyang Dai et al.
Summary of On the Identification Of Temporally Causal Representation with Instantaneous Dependence, by Zijian Li et al.
Summary of Nuwats: a Foundation Model Mending Every Incomplete Time Series, by Jinguo Cheng et al.
Summary of Multi-modal Recommendation Unlearning For Legal, Licensing, and Modality Constraints, by Yash Sinha et al.
Summary of Cross-validated Off-policy Evaluation, by Matej Cief et al.
Summary of Towards Understanding the Working Mechanism Of Text-to-image Diffusion Model, by Mingyang Yi et al.
Summary of Discriminative Estimation Of Total Variation Distance: a Fidelity Auditor For Generative Data, by Lan Tao et al.
Summary of Bisup: Bidirectional Quantization Error Suppression For Large Language Models, by Minghui Zou et al.
Summary of Strong Screening Rules For Group-based Slope Models, by Fabio Feser et al.
Summary of Pipeline Parallelism with Controllable Memory, by Penghui Qi et al.
Summary of Coordinated Multi-neighborhood Learning on a Directed Acyclic Graph, by Stephen Smith et al.
Summary of Log-concave Sampling on Compact Supports: a Versatile Proximal Framework, by Lu Yu