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ORCIDCoRR, April 2024
- Tran Duy Anh Le, Michael P. Reidy
, Eliot J. Smith:
A Critique of Chen's "The 2-MAXSAT Problem Can Be Solved in Polynomial Time". - Wolfgang Gatterbauer:
A Comprehensive Tutorial on over 100 Years of Diagrammatic Representations of Logical Statements and Relational Queries. - Jason Liu:
A novel interface for adversarial trivia question-writing. - Debarati Chakraborty, Ravi Ranjan:
Missing Data Imputation With Granular Semantics and AI-driven Pipeline for Bankruptcy Prediction. - Simon Linke, Tim Ziemer:
SOMson - Sonification of Multidimensional Data in Kohonen Maps. - Anirban Mukherjee:
Psittacines of Innovation? Assessing the True Novelty of AI Creations. - Eunkyung Park, Raymond K. Wong, Junbum Kwon:
Can AI Outperform Human Experts in Creating Social Media Creatives? - Sule Tekkesinoglu, Azra Habibovic, Lars Kunze:
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap. - Jianfeng Zhan, Lei Wang, Wanling Gao, Hongxiao Li, Chenxi Wang, Yunyou Huang, Yatao Li, Zhengxin Yang, Guoxin Kang, Chunjie Luo, Hainan Ye, Shaopeng Dai, Zhifei Zhang:
Evaluatology: The Science and Engineering of Evaluation. - Mirthe Dankloff, Vanja Skoric, Giovanni Sileno, Sennay Ghebreab, Jacco van Ossenbruggen, Emma Beauxis-Aussalet:
Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector. - Alexis E. Block:
Hey, Teacher, (Don't) Leave Those Kids Alone: Standardizing HRI Education. - Wen-Jie Tseng:
Understanding Physical Breakdowns in Virtual Reality. - Azmine Toushik Wasi, Raima Islam, Mst Rafia Islam:
Ink and Individuality: Crafting a Personalised Narrative in the Age of LLMs. - Azmine Toushik Wasi, Mst Rafia Islam, Raima Islam:
LLMs as Writing Assistants: Exploring Perspectives on Sense of Ownership and Reasoning. - Patrick Hemmer, Max Schemmer, Niklas Kühl, Michael Vössing, Gerhard Satzger:
Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence. - Swarup Ranjan Behera, Vijaya V. Saradhi:
Visualization of Unstructured Sports Data - An Example of Cricket Short Text Commentary. - S. Narayanan, Sara Ahmadi, Peter Desain, Jordy Thielen:
Towards gaze-independent c-VEP BCI: A pilot study. - Chun Kit Wong, Mary Ngo, Manxi Lin, Zahra Bashir, Amihai Heen, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Anders Nymark Christensen, Aasa Feragen:
Deployment of Deep Learning Model in Real World Clinical Setting: A Case Study in Obstetric Ultrasound. - Jisu Kim, Kirak Kim:
The Hall of Singularity: VR Experience of Prophecy by AI. - Eloy Serrano-Seco, Eduardo Moya-Lasheras, Edgar Ramirez-Laboreo:
A Fast Convergence Algorithm for Iterative Adaptation of Feedforward Controller Parameters. - Flavio Ponzina, Tajana Rosing:
MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems. - Ilyas Bennia, Yacine Daili, Abdelghani Harrag, Walid Issa:
Stationary and Dynamic Reference Frame Comparison Based Microgrid Application. - Ivan Sergeev:
On contention resolution for the hypergraph matching, knapsack, and k-column sparse packing problems. - Jasur Shukurov:
Improve accessibility for Low Vision and Blind people using Machine Learning and Computer Vision. - Muhammad Aneeq uz Zaman, Shubham Aggarwal, Melih Bastopcu, Tamer Basar:
Policy Optimization finds Nash Equilibrium in Regularized General-Sum LQ Games. - Amparo Guemes Gonzalez, Tiago da Silva Costa, Tamar Makin:
Guidelines for Public and Patient Involvement in Neurotechnology in the United Kingdom. - Jaime Sancho, Manuel Villa, Miguel Chavarrías, Eduardo Juárez, Alfonso Lagares, César Sanz:
SLIMBRAIN: Augmented Reality Real-Time Acquisition and Processing System For Hyperspectral Classification Mapping with Depth Information for In-Vivo Surgical Procedures. - Márcio Rocha Ferreira, Tadeu Moreira de Classe, Sean Wolfgand Matsui Siqueira:
Web-based Interactive Narratives to Present Business Processes Models. - Miao Peng, Ben Liu, Wenjie Xu, Zihao Jiang, Jiahui Zhu, Min Peng:
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning. - Siyuan Peng, Kate Ladenheim, Snehesh Shrestha, Cornelia Fermüller:
Choreographing the Digital Canvas: A Machine Learning Approach to Artistic Performance. - Patrick Darwinkel:
Fingerprinting web servers through Transformer-encoded HTTP response headers. - Hongyu Hè:
PerOS: Personalized Self-Adapting Operating Systems in the Cloud. - Louise Robert, Quentin Luzurier, Anaïs Velcker, Emma Mathieu, Loic Fontaine, David Morquin:
ERIOS: Co-construction of a Dynamic Temporal Visualization Tool in the Electronic Health Record. - Savo Glisic:
Modelling the Impact of Quantum Circuit Imperfections on Networks and Computer Applications. - Peter Fettke, Wolfgang Reisig:
Towards a Theoretical Foundation of Process Science. - Xinran Li:
Local Observability of VINS and LINS. - Fatama Tuz Johora, Md Shahedul Islam Khan, Esrath Kanon, Mohammad Abu Tareq Rony, Md. Zubair, Iqbal H. Sarker:
A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors. - Jianwei Cui, Wenhang Shi, Honglin Tao, Wei Lu, Xiaoyong Du:
A Two-Phase Recall-and-Select Framework for Fast Model Selection. - Shahed Rezaei, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Gottfried Laschet, Stefanie Reese, Markus Apel:
A finite operator learning technique for mapping the elastic properties of microstructures to their mechanical deformations. - Rafael Orozco, Abhinav Prakash Gahlot, Felix J. Herrmann:
BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows - a case study in optimal monitor well placement for CO2 sequestration. - Orson Mengara:
A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks. - Bahman Moraffah:
Bayesian Nonparametrics: An Alternative to Deep Learning. - Yikang Zhou, Tao Zhang, Shunping Ji, Shuicheng Yan, Xiangtai Li:
DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries. - Yun-Yun Tsai, Fu-Chen Chen, Albert Y. C. Chen, Junfeng Yang, Che-Chun Su, Min Sun, Cheng-Hao Kuo:
GDA: Generalized Diffusion for Robust Test-time Adaptation. - Mohammed Brahimi, Bjoern Haefner, Zhenzhang Ye, Bastian Goldluecke, Daniel Cremers:
Sparse Views, Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo. - Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang:
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes. - Marina Neseem, Conor McCullough, Randy Hsin, Chas Leichner, Shan Li, In Suk Chong, Andrew G. Howard, Lukasz Lew, Sherief Reda, Ville-Mikko Rautio, Daniele Moro:
PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. - Syeda Nyma Ferdous, Xin Li:
Robust Ensemble Person Re-Identification via Orthogonal Fusion with Occlusion Handling. - Yiyong Liu, Rui Wen, Michael Backes, Yang Zhang:
Efficient Data-Free Model Stealing with Label Diversity. - Bruno José Olivieri de Souza, Markus Endler:
Experi\^encias, Resultados e Reflex\~oes a partir do Gerenciamento de experimentos no Mundo Real com FANETs e VANTs - Vers\~ao Estendida. - Liviu-Daniel Stefan, Dan-Cristian Stanciu, Mihai Dogariu, Mihai Gabriel Constantin, Andrei Cosmin Jitaru, Bogdan Ionescu:
Deepfake Sentry: Harnessing Ensemble Intelligence for Resilient Detection and Generalisation. - Peijie Qiu, Jin Yang, Sayantan Kumar, Soumyendu Sekhar Ghosh, Aristeidis Sotiras:
AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation. - Nikhil U. Shinde, Zih-Yun Chiu, Florian Richter, Jason Lim, Yuheng Zhi, Sylvia L. Herbert, Michael C. Yip:
SURESTEP: An Uncertainty-Aware Trajectory Optimization Framework to Enhance Visual Tool Tracking for Robust Surgical Automation. - Sana Isam, Hossein Hassani:
Where Are You From? Let Me Guess! Subdialect Recognition of Speeches in Sorani Kurdish. - Muhammad Ali Siddiqi, Jan Andrés Galvan Hernández, Anteneh Gebregiorgis, Rajendra Bishnoi, Christos Strydis, Said Hamdioui, Mottaqiallah Taouil:
Memristor-Based Lightweight Encryption. - Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller:
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures. - Chase Stokes, Marti A. Hearst:
Give Text A Chance: Advocating for Equal Consideration for Language and Visualization. - Chuyuan Tao, Sheng Cheng, Yang Zhao, Fanxin Wang, Naira Hovakimyan:
An Optimization-Based Planner with B-spline Parameterized Continuous-Time Reference Signals. - Wentao Wu, Chi Wang:
Budget-aware Query Tuning: An AutoML Perspective. - Honghui Xu, Yingshu Li, Olusesi Balogun, Shaoen Wu, Yue Wang, Zhipeng Cai:
Security Risks Concerns of Generative AI in the IoT. - Xiaolei Lu, Jianghong Ma:
Does Faithfulness Conflict with Plausibility? An Empirical Study in Explainable AI across NLP Tasks. - Ahmad Diab, Rr. Nefriana, Yu-Ru Lin:
Classifying Conspiratorial Narratives At Scale: False Alarms and Erroneous Connections. - Yorai Shaoul, Itamar Mishani, Maxim Likhachev, Jiaoyang Li:
Accelerating Search-Based Planning for Multi-Robot Manipulation by Leveraging Online-Generated Experiences. - Huiyuan Yu, Jia He, Maggie X. Cheng:
Fast OMP for Exact Recovery and Sparse Approximation. - Zihua Liu, Hiroki Sakuma, Masatoshi Okutomi:
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection. - Avrim Blum, Melissa Dutz:
Winning Without Observing Payoffs: Exploiting Behavioral Biases to Win Nearly Every Round. - Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik:
On-the-fly Definition Augmentation of LLMs for Biomedical NER. - Elie Eshoa, Ali R. Zomorrodi:
Precision game engineering through reshaping strategic payoffs. - Bosu Choi, Yoonsang Lee:
Sampling error mitigation through spectrum smoothing in ensemble data assimilation. - Sharon A. Ferguson, Michael Massimi:
Circle Back Next Week: The Effect of Meeting-Free Weeks on Distributed Workers' Unstructured Time and Attention Negotiation. - Meead Saberi, Tanapon Lilasathapornkit:
Modeling Large-Scale Walking and Cycling Networks: A Machine Learning Approach Using Mobile Phone and Crowdsourced Data. - Yi-Heng Cao, Vincent Bourbonne, François Lucia, Ulrike Schick, Julien Bert, Vincent Jaouen, Dimitris Visvikis:
CT respiratory motion synthesis using joint supervised and adversarial learning. - Markus J. Hofmann, Markus T. Jansen, Christoph Wigbels, Benny B. Briesemeister, Arthur M. Jacobs:
Individual Text Corpora Predict Openness, Interests, Knowledge and Level of Education. - Phillip Howard, Anahita Bhiwandiwalla, Kathleen C. Fraser, Svetlana Kiritchenko:
Uncovering Bias in Large Vision-Language Models with Counterfactuals. - Tobias Fischer, Lorenzo Porzi, Samuel Rota Bulò, Marc Pollefeys, Peter Kontschieder:
Multi-Level Neural Scene Graphs for Dynamic Urban Environments. - Sharon A. Ferguson, Georgia Van de Zande, Alison Olechowski:
No Risk, No Reward: Towards An Automated Measure of Psychological Safety from Online Communication. - Asheesh Sharma, Lucy Randewich, William Andrew, Sion L. Hannuna, Neill W. Campbell, Siobhan Mullan, Andrew W. Dowsey, Melvyn Smith, Mark Hansen, Tilo Burghardt:
Universal Bovine Identification via Depth Data and Deep Metric Learning. - David Valiente, Fernando Rodríguez-Mas, Juan V. Alegre-Requena, David Dalmau, Juan-Carlos Ferrer:
Comparing Hyper-optimized Machine Learning Models for Predicting Efficiency Degradation in Organic Solar Cells. - Dominik Schlechtweg, Shafqat Mumtaz Virk, Nikolay Arefyev:
The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks. - Hannah Kerner, Saketh Sundar, Mathan Satish:
Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels. - Marianna Marcella Bolognesi, Claudia Collacciani, Andrea Ferrari, Francesca Genovese, Tommaso Lamarra, Adele Loia, Giulia Rambelli, Andrea Amelio Ravelli, Caterina Villani:
Word Ladders: A Mobile Application for Semantic Data Collection. - Amitangshu Mukherjee, Timur Ibrayev, Kaushik Roy:
On Inherent Adversarial Robustness of Active Vision Systems. - Edward L. Zhu, Francesco Borrelli:
A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria for Autonomous Racing. - Manit Mishra, Abderrahman Braham, Charles Marsom, Bryan Chung, Gavin Griffin, Dakshesh Sidnerlikar, Chatanya Sarin, Arjun Rajaram:
DataAgent: Evaluating Large Language Models' Ability to Answer Zero-Shot, Natural Language Queries. - Xiao Liu, Jiawei Zhang:
GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream Neural Network Enhancement with LLMs. - Sandra Deepthy Siby, Sina Abdollahi, Mohammad Maheri, Marios Kogias, Hamed Haddadi:
GuaranTEE: Towards Attestable and Private ML with CCA. - Krishnanshu Gupta, Devon Bolt, Ben Hinchliff:
Optimal Blackjack Strategy Recommender: A Comprehensive Study on Computer Vision Integration for Enhanced Gameplay. - Yichun Zhao, Miguel A. Nacenta:
Tools and Tasks in Sensemaking: A Visual Accessibility Perspective. - Yilei Chen, Aldo Pacchiano, Ioannis Ch. Paschalidis:
Multiple-policy Evaluation via Density Estimation. - Chris Porter, Sharjeel Khan, Kangqi Ni, Santosh Pande:
Combined Static Analysis and Machine Learning Prediction for Application Debloating. - Robert B. Parker, Carleton Coffrin:
Managing power balance and reserve feasibility in the AC unit commitment problem. - Larkin Liu, Yuming Rong:
A Stackelberg Regret Minimizing Framework for Online Learning in Newsvendor Pricing Games. - Junyang Zhang, Cristian Emanuel Ocampo Rivera, Kyle Tyni, Steven Nguyen:
A PPO-based DRL Auto-Tuning Nonlinear PID Drone Controller for Robust Autonomous Flights. - Ben Zhou, Hongming Zhang, Sihao Chen, Dian Yu, Hongwei Wang, Baolin Peng, Dan Roth, Dong Yu:
Conceptual and Unbiased Reasoning in Language Models. - (Withdrawn) Random Reed-Solomon Codes are List Recoverable with Optimal List Size.
- Bohan Zhang, Yixin Wang, Paramveer S. Dhillon:
Causal Inference for Human-Language Model Collaboration. - Ahmad Ayaz Amin:
Discrete Natural Evolution Strategies. - Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang:
EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs. - Daeun Song, Jing Liang, Amirreza Payandeh, Xuesu Xiao, Dinesh Manocha:
Socially Aware Robot Navigation through Scoring Using Vision-Language Models. - Pouya Pezeshkpour, Estevam Hruschka:
Multi-Conditional Ranking with Large Language Models. - Yue Niu, Jonathan Sterling, Robert Harper:
Cost-sensitive computational adequacy of higher-order recursion in synthetic domain theory. - Nick Mecklenburg, Yiyou Lin, Xiaoxiao Li, Daniel Holstein, Leonardo O. Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Vijay Aski, Pavan Kumar Reddy Yannam, Tolga Aktas, Todd Hendry:
Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning. - Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Xueqi Cheng:
Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge Editing Benchmark. - Haoyuan Li, Snigdha Chaturvedi:
Rationale-based Opinion Summarization. - Gustavo Bartz Guedes, Ana Estela Antunes da Silva:
Classification and Clustering of Sentence-Level Embeddings of Scientific Articles Generated by Contrastive Learning. - Lecheng Zheng, Baoyu Jing, Zihao Li, Hanghang Tong, Jingrui He:
Heterogeneous Contrastive Learning for Foundation Models and Beyond. - Tongkun Su, Jun Li, Xi Zhang, Haibo Jin, Hao Chen, Qiong Wang, Faqin Lv, Baoliang Zhao, Yin Hu:
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training. - Kalahasti Ganesh Srivatsa, Sabyasachi Mukhopadhyay, Ganesh Katrapati, Manish Shrivastava:
A Survey of using Large Language Models for Generating Infrastructure as Code. - Yan-Shuo Liang, Wu-Jun Li:
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning. - Zheling Meng, Bo Peng, Jing Dong:
Latent Watermark: Inject and Detect Watermarks in Latent Diffusion Space. - Linchen Qian, Jiasong Chen, Linhai Ma, Timur Urakov, Weiyong Gu, Liang Liang:
Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images. - Baoyu Li, William Edwards, Kris Hauser:
Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning. - (Withdrawn) Grid Diffusion Models for Text-to-Video Generation.
- Jaydip Sen, Joceli Mayer, Subhasis Dasgupta, Subrata Nandi, Srinivasan Krishnaswamy, Pinaki Mitra, Mahendra Pratap Singh, Naga Prasanthi Kundeti, Chandra Sekhara Rao MVP, Sudha Sree Chekuri, Seshu Babu Pallapothu, Preethi Nanjundan, Jossy P. George, Abdelhadi El Allahi, Ilham Morino, Salma AIT Oussous, Siham Beloualid, Ahmed Tamtaoui, Abderrahim Bajit:
Information Security and Privacy in the Digital World: Some Selected Topics. - Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang:
Enhancing Content-based Recommendation via Large Language Model. - Haotian Lin, Yixiao Wang, Mingxiao Huo, Chensheng Peng, Zhiyuan Liu, Masayoshi Tomizuka:
Joint Pedestrian Trajectory Prediction through Posterior Sampling. - Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin:
DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference. - Jiahao Yu, Yihai Duan, Longfei Xu, Chao Chen, Shuliang Liu, Li Chen, Kaikui Liu, Fan Yang, Ning Guo:
DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking. - Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan H. Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy:
Aligning Large Language Models with Recommendation Knowledge. - Guande Wu, Chen Zhao, Cláudio T. Silva, He He:
Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World. - Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang:
Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives. - M. Nacianceno, Tamer Oraby, H. Rodrigo, Y. Sepulveda, Josef A. Sifuentes, Erwin Suazo, T. Stuck, J. Williams:
Numerical Simulations for Fractional Differential Equations of Higher Order and a Wright-Type Transformation. - Ping Guo, Qingfu Zhang, Xi Lin:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. - Ruijie Quan, Wenguan Wang, Fan Ma, Hehe Fan, Yi Yang:
Clustering for Protein Representation Learning. - Jeong-Hoon Ju, Taehyeong Kim,