Isolater - Feed

Ax Minh-Duong Nguyen, Thien-Thanh Dao, Le-Tuan Nguyen, Dung D. Le, Kok-Seng Wong 8d ago

Memory-efficient Continual Learning with Prototypical Exemplar Condensation

Proposes prototypical exemplar condensation for memory-efficient continual learning, reducing stored samples per class from 20+ to single digits.

Ax Foo Hui-Mean, Yuan-chin I Chang 8d ago

ALMAB-DC: Active Learning, Multi-Armed Bandits, and Distributed Computing for Sequential Experimental Design and Black-Box Optimization

ALMAB-DC framework combines active learning, multi-armed bandits, and distributed computing for expensive black-box optimization.

Ax Uzay Macar, Li Yang, Atticus Wang, Peter Wallich, Emmanuel Ameisen, Jack Lindsey 8d ago

Mechanisms of Introspective Awareness

Investigates mechanisms of introspective awareness in LLMs, where models detect injected steering vectors with minimal false positives.

Ax M Jawad, HV Gupta, YH Wang, MA Farmani, A Behrangi, GY Niu 8d ago

Improving Model Performance by Adapting the KGE Metric to Account for System Non-Stationarity

Adapts KGE metric for non-stationary geoscientific systems in water management applications.

Ax Zequn Chen, Wesley J. Marrero 8d ago

Boosted Distributional Reinforcement Learning: Analysis and Healthcare Applications

Analyzes distributional reinforcement learning with applications to healthcare, moving beyond expectation-based objectives for uncertain domains.

Ax Ximing Xing, Ziteng Xue, Zhenxi Li, Weicong Liang, Linqing Wang, Zhantao Yang, Tiankai Hang, Zijin Yin, Qinglin Lu, Chunyu Wang, Qian Yu 8d ago

Hierarchical SVG Tokenization: Learning Compact Visual Programs for Scalable Vector Graphics Modeling

Proposes hierarchical SVG tokenization approach for improved scalable vector graphics modeling with LLMs via geometric-aware token design.

Ax Jingwei Zuo, Xinze Feng, Zien Liu, Kaijian Wang, Fanjiang Ye, Ye Cao, Zhuang Wang, Yuke Wang 8d ago

ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads

ALTO system for adaptive hyperparameter tuning and orchestration of LoRA fine-tuning jobs across heterogeneous multi-tenant environments.

Ax Dipan Maity, Suman Mondal, Arindam Roy 8d ago

Gated-SwinRMT: Unifying Swin Windowed Attention with Retentive Manhattan Decay via Input-Dependent Gating

Introduces Gated-SwinRMT, a vision transformer combining Swin attention with Manhattan-distance decay for improved spatial modeling.

Ax Yuanjie Shi, Peihong Li, Zijian Zhang, Janardhan Rao Doppa, Yan Yan 8d ago

Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise

Proposes CMRM, a framework for improving classification under label noise without privileged knowledge, using quantile-calibrated regularization.

Ax Rui Dong, Zitong Wang, Jiaxing Li, Weihuang Zheng, Youyong Kong 8d ago

BLEG: LLM Functions as Powerful fMRI Graph-Enhancer for Brain Network Analysis

Combines LLMs with Graph Neural Networks to enhance fMRI brain network analysis by leveraging LLM representations.

Ax Constantin Le Cle\"i, Nils Thuerey, Xiaoxiang Zhu 8d ago

Bias-Constrained Diffusion Schedules for PDE Emulations: Reconstruction Error Minimization and Efficient Unrolled Training

Bias-constrained diffusion schedules for PDE emulation with improved reconstruction error and efficient unrolled training.

Ax Jung-Hoon Cho, Sirui Li, Jeongyun Kim, Cathy Wu 8d ago

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy

Temporal transfer learning approach for traffic optimization using real-time driving advisories for connected vehicles.

Ax Andrea Nini, Oren Halvani, Lukas Graner, Sophie Titze, Valerio Gherardi, Shunichi Ishihara 8d ago

Grammar as a Behavioral Biometric: Using Cognitively Motivated Grammar Models for Authorship Verification

Uses cognitively motivated grammar models as behavioral biometrics for authorship verification in digital forensics.

Ax Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang 8d ago

Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias

Social recommendation model using condition-guided approach to mitigate popularity bias in recommendation systems.

Ax Lorenzo Mannocci, Michele Mazza, Anna Monreale, Maurizio Tesconi, Stefano Cresci 8d ago

Detection and Characterization of Coordinated Online Behavior: A Survey

Survey of detection and characterization methods for coordinated online behavior including disinformation and social movements.

Ax Sajib Kumar Saha Joy, Arman Hassan Mahy, Meherin Sultana, Azizah Mamun Abha, MD Piyal Ahmmed, Yue Dong, G M Shahariar 8d ago

Mitigating Extrinsic Gender Bias for Bangla Classification Tasks

Studies extrinsic gender bias in Bangla pretrained language models across four NLP classification tasks.

Ax Yangyang Li, Daqing Liu, Wu Liu, Allen He, Xinchen Liu, Yongdong Zhang, Guoqing Jin 8d ago

OmniPrism: Learning Disentangled Visual Concept for Image Generation

Method for disentangling visual concepts in image generation to enable multi-aspect creative content generation.

Ax Xin He, Wenqi Fan, Mingchen Sun, Ying Wang, Xin Wang 8d ago

Automatic Self-supervised Learning for Social Recommendations

Automatic self-supervised learning framework for social recommendations that learns auxiliary tasks without manual design.

Ax Thomas Mortier, Alireza Javanmardi, Yusuf Sale, Eyke H\"ullermeier, Willem Waegeman 8d ago

Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity

Extends conformal prediction framework to hierarchical classification with constrained representation complexity.

Ax Hao-Xiang Xu, Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen Gu 8d ago

Constraining Sequential Model Editing with Editing Anchor Compression

Method for constraining sequential editing of LLMs to prevent knowledge degradation using editing anchor compression.

Ax Kyriakos Stylianopoulos, George C. Alexandropoulos 8d ago

Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining

Shows XL MIMO wireless systems exhibit universal approximation properties similar to neural networks for OTA classification.

Ax Yanhao Zhang, Zhihan Zhu, Yong Xia 8d ago

SPP-SBL: Space-Power Prior Sparse Bayesian Learning for Block Sparse Recovery

Sparse Bayesian learning method with space power prior for block sparse signal recovery with unknown patterns.

Ax Bryan Sangwoo Kim, Jeongsol Kim, Jong Chul Ye 8d ago

Chain-of-Zoom: Extreme Super-Resolution via Scale Autoregression and Preference Alignment

Framework for extreme super-resolution using autoregressive chain of scale states with preference alignment.

Ax Jing-En Huang, I-Sheng Fang, Tzuhsuan Huang, Yu-Lun Liu, Chih-Yu Wang, Jun-Cheng Chen 8d ago

Gen-n-Val: Agentic Image Data Generation and Validation

Agentic system for generating and validating synthetic image data to address data scarcity and label noise in vision tasks.

Ax Nico Meyer, Christopher Mutschler, Andreas Maier, Daniel D. Scherer 8d ago

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction

Novel variational quantum error correction approach using state distinguishability maximization for near-term quantum devices.

Ax Shahab Rahimirad, Guven Gergerli, Lucia Romero, Angela Qian, Matthew Lyle Olson, Simon Stepputtis, Joseph Campbell 8d ago

Bayesian Social Deduction with Graph-Informed Language Models

Evaluates LLM reasoning capabilities in social deduction game Avalon using Bayesian inference with graph-informed models.

Ax Zhentong Shao, Jingtao Qin, Nanpeng Yu 8d ago

Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem

Neural network method for solving two-stage stochastic unit commitment optimization problems in power systems.

Ax Medhasweta Sen, Zachary Gottesman, Jiaxing Qiu, C. Bayan Bruss, Nam Nguyen, Tom Hartvigsen 8d ago

BEDTime: A Unified Benchmark for Automatically Describing Time Series

Benchmark for evaluating how well multimodal models describe structural properties of time series data.

Ax Ushasi Bhowmick, Shivam Kumaran 8d ago

Beyond Spherical geometry: Unraveling complex features of objects orbiting around stars from its transit light curve using deep learning

arXiv paper using deep learning to infer exoplanet geometry from transit light curves.

Ax Wei Duan, Jie Lu, Junyu Xuan 8d ago

Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning

arXiv paper on Bayesian ego-graph inference for decentralized multi-agent reinforcement learning with constrained communication.

Ax Edward Kim, Daniel He, Jorge Chao, Wiktor Rajca, Mohammed Amin, Nishant Malpani, Ruta Desai, Antti Oulasvirta, Bjoern Hartmann, Sanjit Seshia 8d ago

Interactive Program Synthesis for Modeling Collaborative Physical Activities from Narrated Demonstrations

arXiv paper on interactive program synthesis for collaborative physical task modeling from narrated demonstrations.

Ax Yuquan Xue, Guanxing Lu, Zhenyu Wu, Chuanrui Zhang, Bofang Jia, Zhengyi Gu, Ziwei Wang 8d ago

RESample: A Robust Data Augmentation Framework via Exploratory Sampling for Robotic Manipulation

RESample: Data augmentation framework for Vision-Language-Action models in robotic manipulation, addressing limited distribution in demonstration datasets.

Ax Farhad Pashakhanloo 8d ago

Contribution of task-irrelevant stimuli to drift of neural representations

Research on representational drift in neural networks, analyzing how task-irrelevant stimuli contribute to changes in learned representations over time.

Ax Chonghyuk Song, Michal Stary, Boyuan Chen, George Kopanas, Vincent Sitzmann 8d ago

Generative View Stitching

Generative View Stitching: Method enabling camera-guided video generation with bidirectional conditioning to prevent collision with generated scenes.

Ax Claudio Bonanno, Andrea Bulgarelli, Elia Cellini, Alessandro Nada, Dario Panfalone, Davide Vadacchino, Lorenzo Verzichelli 8d ago

Scaling flow-based approaches for topology sampling in $\mathrm{SU}(3)$ gauge theory

Methodology using flow-based approaches and non-equilibrium Monte Carlo for topology sampling in SU(3) lattice gauge theory simulations.

Ax Seunghee Han, Yeonghun Kang, Taeun Bae, Junho Kim, Younghun Kim, Varinia Bernales, Alan Aspuru-Guzik, Jihan Kim 8d ago

EGMOF: Efficient Generation of Metal-Organic Frameworks Using a Hybrid Diffusion-Transformer Architecture

EGMOF: Hybrid diffusion-transformer framework for efficient generation of metal-organic frameworks for materials discovery with targeted properties.

Ax Alexander Lappe, Martin A. Giese 8d ago

Another BRIXEL in the Wall: Towards Cheaper Dense Features

BRIXEL: Approach to reduce computational cost of dense feature maps from vision foundation models like DINOv3 while maintaining performance.

Ax Ghita Fassy El Fehri, Aur\'elien Bellet, Philippe Bastien 8d ago

Differentially Private and Federated Structure Learning in Bayesian Networks

Fed-Sparse-BNSL: Federated method for learning Bayesian network structures with differential privacy, addressing decentralized data challenges.

Ax Le Thien Phuc Nguyen, Zhuoran Yu, Samuel Low Yu Hang, Subin An, Jeongik Lee, Yohan Ban, SeungEun Chung, Thanh-Huy Nguyen, JuWan Maeng, Soochahn Lee, Yong Jae Lee 8d ago

See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models

AV-SpeakerBench: Benchmark evaluating multimodal LLMs on fine-grained audiovisual speech understanding with 3,212 multiple-choice questions.

Ax Thao Nguyen, Sicheng Mo, Krishna Kumar Singh, Yilin Wang, Jing Shi, Nicholas Kolkin, Eli Shechtman, Yong Jae Lee, Yuheng Li 8d ago

Relational Visual Similarity

Research on relational visual similarity in AI vision systems, comparing current methods against human-like relational perception across different domains.

Ax Qiushi Han, David Simchi-Levi, Renfei Tan, Zishuo Zhao 8d ago

Multi-agent Adaptive Mechanism Design

DRAM: Framework combining mechanism design and online learning for sequential multi-agent settings to ensure truthful reporting with cost-optimality.

Ax Lee Hyoseok, Sohwi Lim, Eunju Cha, Tae-Hyun Oh 8d ago

Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers

Measurement-Consistent Langevin Corrector: Method stabilizing latent diffusion models for inverse problems by reducing discrepancy with learned reverse diffusion.

Ax Jacob Paul Simpson, Efstratios Palias, Sharu Theresa Jose 8d ago

Sample Complexity of Composite Quantum Hypothesis Testing

Theoretical analysis of sample complexity in symmetric composite binary quantum hypothesis testing for unknown quantum states.

Ax Mayank Sharma, Roy Pea, Hari Subramonyam 8d ago

ConvoLearn: A Learning Sciences Grounded Dataset for Fine-Tuning Dialogic AI Tutors

ConvoLearn: Dataset of 2,134 tutor-student dialogues for fine-tuning LLM-based AI tutors, grounded in dialogic learning theory and Earth Science curriculum.

Ax Bryan Sangwoo Kim, Jonghyun Park, Jong Chul Ye 8d ago

Tiled Prompts: Overcoming Prompt Misguidance in Image and Video Super-Resolution

Tiled Prompts: Method addressing prompt misguidance in text-conditioned diffusion models for image and video super-resolution by handling localized details.

Ax Cheng cheng, Chenxing Wang, Aolin Li, Haijun Wu, Huiyun Hu, Juyuan Wang 8d ago

When & How to Write for Personalized Demand-aware Query Rewriting in Video Search

WeWrite: Personalized query rewriting framework for video search systems using user history to identify search intent and resolve ambiguity.

Ax Daniel Zantedeschi, Kumar Muthuraman 8d ago

Fisher-Geometric Diffusion in Stochastic Gradient Descent: Optimal Rates, Oracle Complexity, and Information-Theoretic Limits

Theoretical analysis of stochastic gradient descent covariance under exchangeable mini-batch sampling and its connection to Fisher information.

Ax Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang 8d ago