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ORCIDCoRR, January 2024
- E. E. Vityaev:
Informational non-reductionist theory of consciousness that providing maximum accuracy of reality prediction. - Evgenii Vityaev:
Consciousness as a logically consistent and prognostic model of reality. - Shaopeng Zhai, Jie Wang, Tianyi Zhang, Fuxian Huang, Qi Zhang, Ming Zhou, Jing Hou, Yu Liu:
Building Open-Ended Embodied Agent via Language-Policy Bidirectional Adaptation. - Hideyoshi Yanagisawa, Shimon Honda:
Modeling arousal potential of epistemic emotions using Bayesian information gain: Inquiry cycle driven by free energy fluctuations. - Bernardo Gonçalves:
Turing's Test, a Beautiful Thought Experiment. - Hao Chen, Lun Du, Yuxuan Lu, Qiang Fu, Xu Chen, Shi Han, Yanbin Kang, Guangming Lu, Zi Li:
Professional Network Matters: Connections Empower Person-Job Fit. - Mateusz Wilinski, Andrey Y. Lokhov:
Learning of networked spreading models from noisy and incomplete data. - Zixuan Chen, Subhodeep Mitra, R. Ravi, Wolfgang Gatterbauer:
HITSnDIFFs: From Truth Discovery to Ability Discovery by Recovering Matrices with the Consecutive Ones Property. - Seyed Soroush Karimi Madahi, Bert Claessens, Chris Develder:
Distributional Reinforcement Learning-based Energy Arbitrage Strategies in Imbalance Settlement Mechanism. - Zhuoyang Ye:
QAOA on Hamiltonian Cycle problem. - Zijie Yang, Yongjing Yin, Chaojun Kong, Tiange Chi, Wufan Tao, Yue Zhang, Tian Xu:
AI-driven platform for systematic nomenclature and intelligent knowledge acquisition of natural medicinal materials. - Siddhartha Prasad, Ben Greenman, Tim Nelson, Shriram Krishnamurthi:
Conceptual Mutation Testing for Student Programming Misconceptions. - Chuan Wen, Xingyu Lin, John So, Kai Chen, Qi Dou, Yang Gao, Pieter Abbeel:
Any-point Trajectory Modeling for Policy Learning. - Xin Gao, Tianheng Qiu, Xinyu Zhang, Hanlin Bai, Kang Liu, Xuan Huang, Hu Wei, Guoying Zhang, Huaping Liu:
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring. - Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for OCR. - Li Xu, Haoxuan Qu, Yujun Cai, Jun Liu:
6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation. - Xiaoqian Liu, Jianbin Jiao, Junge Zhang:
Self-supervised Pretraining for Decision Foundation Model: Formulation, Pipeline and Challenges. - Maja Rudolph, Stefan Kurz, Barbara Rakitsch:
Hybrid Modeling Design Patterns. - Lei Yang:
Discrete Distribution Networks. - Kevin Wang, Jason Ramos, Ramon Lawrence:
ChatEd: A Chatbot Leveraging ChatGPT for an Enhanced Learning Experience in Higher Education. - Elliot Creager, Richard S. Zemel:
Online Algorithmic Recourse by Collective Action. - Kandan Ramakrishnan, R. James Cotton, Xaq Pitkow, Andreas S. Tolias:
Generalization properties of contrastive world models. - Alex Zarifis, Richard Ingham, Julia Kroenung:
Exploring the language of the sharing economy: Building trust and reducing privacy concern on Airbnb in German and English. - Mena Rizk, Daniela Rosu, Mark S. Fox:
Semantic Computing for Organizational Effectiveness: From Organization Theory to Practice through Semantics-Based Modelling. - Hong Xu, Alan Morris, Shireen Y. Elhabian:
Particle-Based Shape Modeling for Arbitrary Regions-of-Interest. - Bruce D. Lee, Anders Rantzer, Nikolai Matni:
Nonasymptotic Regret Analysis of Adaptive Linear Quadratic Control with Model Misspecification. - David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana, Daniel Hernández-Sosa, Modesto Castrillón Santana:
A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point. - Vamsi K. Potluru, Daniel Borrajo, Andrea Coletta, Niccolò Dalmasso, Yousef El-Laham, Elizabeth Fons, Mohsen Ghassemi, Sriram Gopalakrishnan, Vikesh Gosai, Eleonora Kreacic, Ganapathy Mani, Saheed Obitayo, Deepak Paramanand, Natraj Raman, Mikhail Solonin, Srijan Sood, Svitlana Vyetrenko, Haibei Zhu, Manuela Veloso, Tucker Balch:
Synthetic Data Applications in Finance. - Jian He, Asma Khedher, Peter Spreij:
A dimension reduction approach for loss valuation in credit risk modelling. - Si Zhang, Philip W. L. Fong:
Quantifying Policy Administration Cost in an Active Learning Framework. - Germán Vidal:
An Asynchronous Scheme for Rollback Recovery in Message-Passing Concurrent Programming Languages. - Xiaotong Guo, Hanyong Xu, Dingyi Zhuang, Yunhan Zheng, Jinhua Zhao:
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System. - Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. - Felipe Akio Matsuoka
:
Automatic Essay Scoring in a Brazilian Scenario. - Wenhao Lu, Xufeng Zhao, Thilo Fryen, Jae Hee Lee, Mengdi Li, Sven Magg, Stefan Wermter:
Causal State Distillation for Explainable Reinforcement Learning. - Xinye Chen:
Joint symbolic aggregate approximation of time series. - Shanchuan Lin, Xiao Yang:
Diffusion Model with Perceptual Loss. - Mahshid Helali Moghadam, Mateusz Rzymowski, Lukasz Kulas:
Enabling Smart Retrofitting and Performance Anomaly Detection for a Sensorized Vessel: A Maritime Industry Experience. - Yuqi Liu, Xinyu Shan, Meiyue Shao:
A Contour Integral-Based Algorithm for Computing Generalized Singular Values. - S. P. Sharan, Francesco Pittaluga, Vijay Kumar B. G, Manmohan Chandraker:
LLM-Assist: Enhancing Closed-Loop Planning with Language-Based Reasoning. - Ashhadul Islam, Md. Rafiul Biswas, Wajdi Zaghouani, Samir Brahim Belhaouari, Zubair Shah:
Pushing Boundaries: Exploring Zero Shot Object Classification with Large Multimodal Models. - Lujia Wang, Hairong Wang, Fulvio D'Angelo, Lee Curtin, Christopher P. Sereduk, Gustavo De Leon, Kyle W. Singleton, Javier Urcuyo, Andrea Hawkins-Daarud, Pamela R. Jackson, Chandan Krishna, Richard S. Zimmerman, Devi P. Patra, Bernard R. Bendok, Kris A. Smith, Peter Nakaji, Kliment Donev, Leslie C. Baxter, Maciej M. Mrugala, Michele Ceccarelli, Antonio Iavarone, Kristin R. Swanson, Nhan L. Tran, Leland S. Hu, Jing Li:
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm. - Wenhao Ma, Yu-Cheng Chang, Jie Yang, Yu-Kai Wang, Chin-Teng Lin:
Contrastive learning-based agent modeling for deep reinforcement learning. - Tao He, Xue Li, Zhibin Wang, Kun Qian, Jingbo Xu, Wenyuan Yu, Jingren Zhou:
Unicron: Economizing Self-Healing LLM Training at Scale. - Qiannan Wang, Changchun Yin, Liming Fang, Lu Zhou, Zhe Liu, Run Wang, Chenhao Lin:
SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection. - Hengrui Cai, Shengjie Liu, Rui Song:
Is Knowledge All Large Language Models Needed for Causal Reasoning? - Song Guo, Minzhao Lyu, Hassan Habibi Gharakheili:
Realizing Open and Decentralized Marketplace for Exchanging Data of Expected IoT Behaviors. - Behrooz Mirafzal, Fariba Fateh:
Synced Parallel Control Paths for Multi-Task System Operation. - Wenjun Zhu, Xiaoyu Ji, Yushi Cheng, Shibo Zhang, Wenyuan Xu:
TPatch: A Triggered Physical Adversarial Patch. - Wenjun Zhu, Yuan Sun, Jiani Liu, Yushi Cheng, Xiaoyu Ji, Wenyuan Xu:
CamPro: Camera-based Anti-Facial Recognition. - Biswajit Maitya, Abdul Alima, Popuri Sree Rama Charana, Amlan Chakrabarti, Subrata Nandia, Sanghita Bhattacharjeea:
AClassiHonk: A System Framework to Annotate and Classify Vehicular Honk from Road Traffic. - Linhao Xu, Lin Zhao, Xinxin Sun, Di Wang, Guangyu Li, Kedong Yan:
A comprehensive framework for occluded human pose estimation. - Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. - Deepak Akhare, Tengfei Luo, Jian-Xun Wang:
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling. - Guojian Wang, Faguo Wu, Xiao Zhang, Tianyuan Chen:
Policy Optimization with Smooth Guidance Rewards Learned from Sparse-Reward Demonstrations. - Xiaogang Xing, Ming Xu, Yujing Bai, Dongdong Yang:
A clean-label graph backdoor attack method in node classification task. - Harald Ruess:
Causal Stream Inclusions. - Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen:
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization. - Junwen Yang, Ang Li, Xuewen Liao, Christos Masouros, A. Lee Swindlehurst:
Block-Level MU-MISO Interference Exploitation Precoding: Optimal Structure and Explicit Duality. - Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu:
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning. - Yaqing Hou, Mingyang Sun, Abhishek Gupta, Yaochu Jin, Haiyin Piao, Hongwei Ge, Qiang Zhang:
Multiform Evolution for High-Dimensional Problems with Low Effective Dimensionality. - Harsh Chaudhari, Anuja Patil, Dhanashree Lavekar, Pranav Khairnar, Raviraj Joshi:
L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models. - Fabio V. Difonzo, Sabrina Francesca Pellegrino:
Convergence Analysis of a Spectral Numerical Method for a Peridynamic Formulation of Richards' Equation. - Fahad Rahman, Chafiq Titouna, Farid Naït-Abdesselam:
Addressing Trust Challenges in Blockchain Oracles Using Asymmetric Byzantine Quorums. - Mohammad Ibrahim Qani:
Principle Interference in Technical and Scientific Translation. - Vaibhav Vaishnav, Anoop Jain, Dushyant Sharma:
Auxiliary Network-Enabled Attack Detection and Resilient Control of Islanded AC Microgrid. - Anish Lakkapragada:
A Novel Explanation Against Linear Neural Networks. - Abuzar B. M. Adam, Mohamed Amine Ouamri, Mohammed Saleh Ali Muthanna, Xingwang Li, Mohammed A. M. Elhassan, Ammar Muthanna:
Real-Time and Security-Aware Precoding in RIS-Empowered Multi-User Wireless Networks. - Saikat Barua, Sifat Momen:
KAXAI: An Integrated Environment for Knowledge Analysis and Explainable AI. - Qi Zhang, Jiang Zhu, Fengzhong Qu, Zheng Zhu, De Wen Soh:
On the Identifiability from Modulo Measurements under DFT Sensing Matrix. - Romy Müller, Maria Pohl:
Information acquisition in Adapt/Exchange decisions: When do people check alternative solution principles? - Matteo Cordioli, Laura Delfino, Alessia Romani, Elisa Mortini, Pier Luca Lanzi:
A Gamified Framework to Assist Therapists with the ABA Therapy for Autism. - Lex Zard:
Consumer Manipulation via Online Behavioral Advertising. - Weizhu Bao, Yifei Li:
A unified structure-preserving parametric finite element method for anisotropic surface diffusion. - Han Jiang, Haosen Sun, Ruoxuan Li, Chi-Keung Tang, Yu-Wing Tai:
Inpaint4DNeRF: Promptable Spatio-Temporal NeRF Inpainting with Generative Diffusion Models. - Geoff Luck:
AI and Tempo Estimation: A Review. - Tsvetelina Hristova, Liam Magee, Karen Soldatic:
The Problem of Alignment. - Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei:
Open-TI: Open Traffic Intelligence with Augmented Language Model. - Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés:
Physics-Informed Multi-Agent Reinforcement Learning for Distributed Multi-Robot Problems. - Yogi A. Erlangga:
Parallel-in-time Multilevel Krylov Methods: A Prototype. - Jingjing Xu, Caesar Wu, Yuan-Fang Li, Pascal Bouvry:
Transformer Multivariate Forecasting: Less is More? - Yao Sun, Pan Wang:
Simultaneously determine elastic impedance and shape by a Newton-type iterative method. - Md. Fazle Rabbi, Solayman Hossain Emon, Ehtesham Mahmud Nishat, Tzu-Liang Tseng, Atira Ferdoushi, Chun-Che Huang, Md Fashiar Rahman:
A Novel Approach for Defect Detection of Wind Turbine Blade Using Virtual Reality and Deep Learning. - Ana-Isabel Duron-Tejedor, Pascal Amsili, Thierry Poibeau:
How to Evaluate Coreference in Literary Texts? - Yuming Huang, Yingpin Chen, Changhui Wu, Hanrong Xie, Binhui Song, Hui Wang:
Image Super-resolution Reconstruction Network based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features. - Yuanzhao Zhai, Han Zhang, Yu Lei, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang:
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles. - Hongkun Hao, Long Zhou, Shujie Liu, Jinyu Li, Shujie Hu, Rui Wang, Furu Wei:
Boosting Large Language Model for Speech Synthesis: An Empirical Study. - Karim Kadry, Shreya Gupta, Farhad Rikhtegar Nezami, Elazer R. Edelman:
Probing the Limits and Capabilities of Diffusion Models for the Anatomic Editing of Digital Twins. - Xianjie Liu, Keren Fu, Qijun Zhao:
Promoting Segment Anything Model towards Highly Accurate Dichotomous Image Segmentation. - Taekyung Kim, Dongyoon Han, Byeongho Heo:
Masked Image Modeling via Dynamic Token Morphing. - Bertrand Teguia Tabuguia:
Hypergeometric-Type Sequences. - Jun Wang, Hao Ruan, Mingjie Wang, Chuanghui Zhang, Huachun Li, Jun Zhou:
GazeCLIP: Towards Enhancing Gaze Estimation via Text Guidance. - Lianyu Hu, Liqing Gao, Zekang Liu, Chi-Man Pun, Wei Feng:
COMMA: Co-Articulated Multi-Modal Learning. - Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Lan Xu, Yanwei Fu, Jingya Wang:
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations. - Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou:
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. - Yusuf Sale, Paul Hofman, Lisa Wimmer, Eyke Hüllermeier, Thomas Nagler:
Second-Order Uncertainty Quantification: Variance-Based Measures. - Reza Fayyazi, Rozhina Taghdimi, Shanchieh Jay Yang:
Advancing TTP Analysis: Harnessing the Power of Encoder-Only and Decoder-Only Language Models with Retrieval Augmented Generation. - Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar:
Deep Generative Symbolic Regression. - Hongshan Liu, Tong Qin, Zhen Gao, Keke Ying, Ziwei Wan, Jingjing Zhao, Rui Na, Zhongxiang Li, Gaojie Chen, Chun Hu, Ruiqi Liu, Yikun Mei, Tuan Li, Tianqi Mao, Shuo Wang, Dezhi Zheng:
Near-Space Communications: The Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle. - Maximilian Weber, Merle Reichardt:
Evaluation is all you need. Prompting Generative Large Language Models for Annotation Tasks in the Social Sciences. A Primer using Open Models. - Zeyang Zhang, Hui Li, Tianyang Xu, Xiaojun Wu, Josef Kittler:
BusReF: Infrared-Visible images registration and fusion focus on reconstructible area using one set of features. - Siva Raja Sindiramutty:
Autonomous Threat Hunting: A Future Paradigm for AI-Driven Threat Intelligence. - Neeraj Varshney, Pavel Dolin, Agastya Seth, Chitta Baral:
The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness. - Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. - Md. Shahinur Alam, Jason Lamberton, Jianye Wang, Carly Leannah, Sarah Miller, Joseph Palagano, Myles de Bastion, Heather L. Smith, Melissa Malzkuhn, Lorna C. Quandt:
ASL Champ!: A Virtual Reality Game with Deep-Learning Driven Sign Recognition. - Aleksander Buszydlik, Karol Dobiczek, Michal Teodor Okon, Konrad Skublicki, Philip Lippmann, Jie Yang:
Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks. - Seyed Hassan Yajadda, Farshad Safaei:
A Novel Reinforcement Learning Routing Algorithm for Congestion Control in Complex Networks. - Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz, Boaz Taitler:
Principal-Agent Reward Shaping in MDPs. - Daniel P. Huttenlocher, Hannah Li, Liang Lyu, Asuman E. Ozdaglar, James Siderius:
Matching of Users and Creators in Two-Sided Markets with Departures. - Yifan Su, Rishi Veerapaneni, Jiaoyang Li:
Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution. - Anna Revazova, Igor Korkin:
RASP for LSASS: Preventing Mimikatz-Related Attacks. - Elnatan Kadar, Guy Gilboa:
DXAI: Explaining Classification by Image Decomposition. - Natchanon Luangsomboon, Fahimeh Fazel, Jörg Liebeherr, Ashkan Sobhani, Shichao Guan, Xingjun Chu:
On the Burstiness of Distributed Machine Learning Traffic. - Yinglun Xu, Gagandeep Singh:
Efficient Two-Phase Offline Deep Reinforcement Learning from Preference Feedback. - Maxime Krier, Julia Orlik, Grigory Panasenko, Konrad Steiner:
Asymptotically proved numerical coupling of a 2D flexural porous plate with the 3D Stokes fluid. - Sebastian-Vasile Echim, Iulian-Marius Taiatu, Dumitru-Clementin Cercel, Florin Pop:
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation. - Anders Lansner, Naresh Balaji Ravichandran, Pawel Andrzej Herman:
Benchmarking Hebbian learning rules for associative memory. - Anmol Srivastava:
A Rapid Scoping Review and Conceptual Analysis of the Educational Metaverse in the Global South: Socio-Technical Perspectives. - Shreelekha Revankar, Shijia Liao, Yu Shen, Junbang Liang, Huaishu Peng, Ming C. Lin:
SHARE: Single-view Human Adversarial REconstruction. - Abhinav Arun, Mehul Soni, Palash Choudhary, Saksham Arora:
EXPLORE - Explainable Song Recommendation. - Iyadunni J. Adenuga, Benjamin V. Hanrahan:
Understanding Driver Agency in RideSharing. - Shaan Ul Haque, Sajad Khodadadian, Siva Theja Maguluri:
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise. - Yuhta Takida, Yukara Ikemiya, Takashi Shibuya, Kazuki Shimada, Woosung Choi, Chieh-Hsin Lai, Naoki Murata, Toshimitsu Uesaka, Kengo Uchida, Wei-Hsiang Liao, Yuki Mitsufuji:
HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes. - Magdalena Wolska, Bernd Fröhlich, Katrin Girgensohn, Sassan Gholiagha, Dora Kiesel, Jürgen Neyer, Patrick Riehmann, Mitja Sienknecht, Benno Stein:
Argumentation in Waltz's "Emerging Structure of International Politics". - Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei:
Improving Text Embeddings with Large Language Models.