3.6k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Inception Institute of Artificial IntelligenceAE16 papers
- Carnegie Mellon UniversityUS15 papers
- École PolytechniqueFR11 papers
- Australian National UniversityAU10 papers
- Nankai UniversityCN8 papers
- Centre de Mathématiques Appliquées de l'École polytechniqueFR7 papers
- Nanyang Technological UniversitySG7 papers
- National Research University Higher School of EconomicsRU7 papers
- The University of SydneyAU7 papers
- University of WaterlooCA7 papers
- Hamad bin Khalifa UniversityQA6 papers
- Moscow Institute of Physics and TechnologyRU6 papers
43 papers · 1 filter
Rethinking Generalized BCIs: Benchmarking 340,000+ Unique Algorithmic Configurations for EEG Mental Command Decoding
Paul Barbaste, Olivier Oullier, Xavier Vasques
Robust decoding and classification of brain patterns measured with electroencephalography (EEG) remains a major challenge for real-world (i.e. outside scientific lab and medical fa…
Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality
Lingjing Kong, Shaoan Xie, Guangyi Chen +4
Deep generative models, while revolutionizing fields like image and text generation, largely operate as opaque ``black boxes'', hindering human understanding, control, and alignmen…
Molecular Embedding-Based Algorithm Selection in Protein-Ligand Docking
Jiabao Brad Wang, Siyuan Cao, Hongxuan Wu +2
Selecting an effective docking algorithm is highly context-dependent, and no single method performs reliably across structural, chemical, and protocol regimes. MolAS is a lightweig…
Temporal Latent Variable Structural Causal Model for Causal Discovery under External Interferences
Ruichu Cai, Xiaokai Huang, Wei Chen +2
Inferring causal relationships from observed data is an important task, yet it becomes challenging when the data is subject to various external interferences. Most of these interfe…
Flexible Concept Bottleneck Model
Xingbo Du, Qiantong Dou, Lei Fan +1
Concept bottleneck models (CBMs) improve neural network interpretability by introducing an intermediate layer that maps human-understandable concepts to predictions. Recent work ha…
Safe and Stable Neural Network Dynamical Systems for Robot Motion Planning
Allen Emmanuel Binny, Mahathi Anand, Hugo T. M. Kussaba +4
Learning safe and stable robot motions from demonstrations remains a challenge, especially in complex, nonlinear tasks involving dynamic, obstacle-rich environments. In this paper,…
Detecting LLM-Assisted Academic Dishonesty using Keystroke Dynamics
Atharva Mehta, Rajesh Kumar, Aman Singla +3
The rapid adoption of generative AI tools has heightened concerns regarding academic integrity, as students increasingly engage in dishonest practices by copying or paraphrasing AI…
Fusionista2.0: Efficiency Retrieval System for Large-Scale Datasets
Huy M. Le, Dat Tien Nguyen, Phuc Binh Nguyen +8
The Video Browser Showdown (VBS) challenges systems to deliver accurate results under strict time constraints. To meet this demand, we present Fusionista2.0, a streamlined video re…
REMONI: An Autonomous System Integrating Wearables and Multimodal Large Language Models for Enhanced Remote Health Monitoring
Thanh Cong Ho, Farah Kharrat, Abderrazek Abid +1
With the widespread adoption of wearable devices in our daily lives, the demand and appeal for remote patient monitoring have significantly increased. Most research in this field h…
Vision Language Models for Dynamic Human Activity Recognition in Healthcare Settings
Abderrazek Abid, Thanh-Cong Ho, Fakhri Karray
As generative AI continues to evolve, Vision Language Models (VLMs) have emerged as promising tools in various healthcare applications. One area that remains relatively underexplor…
Constrained Adversarial Perturbation
Virendra Nishad, Bhaskar Mukhoty, Hilal AlQuabeh +2
Deep neural networks have achieved remarkable success in a wide range of classification tasks. However, they remain highly susceptible to adversarial examples - inputs that are sub…
Leveraging Cycle-Consistent Anchor Points for Self-Supervised RGB-D Registration
Siddharth Tourani, Jayaram Reddy, Sarvesh Thakur +3
With the rise in consumer depth cameras, a wealth of unlabeled RGB-D data has become available. This prompts the question of how to utilize this data for geometric reasoning of sce…
Leveraging 2D Priors and SDF Guidance for Dynamic Urban Scene Rendering
Siddharth Tourani, Jayaram Reddy, Akash Kumbar +5
Dynamic scene rendering and reconstruction play a crucial role in computer vision and augmented reality. Recent methods based on 3D Gaussian Splatting (3DGS), have enabled accurate…
Density Matrix-based Dynamics for Quantum Robotic Swarms
Maria Mannone, Mahathi Anand, Peppino Fazio +1
In a robotic swarm, parameters such as position and proximity to the target can be described in terms of probability amplitudes. This idea led to recent studies on a quantum approa…
Causal evidence for the primordiality of colours in trans-Neptunian objects
Benjamin L. Davis, Mohamad Ali-Dib, Yujia Zheng +3
The origins of the colours of Trans-Neptunian Objects (TNOs) represent a crucial unresolved question, central to understanding the history of our Solar System. Recent observational…
Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review
David Santandreu Calonge, Linda Smail
This review examines recent advances in Parameter-Efficient Fine-Tuning (PEFT), with a focus on Low-Rank Adaptation (LoRA), to optimize Retrieval-Augmented Generation (RAG) systems…
Annotating Errors in English Learners' Written Language Production: Advancing Automated Written Feedback Systems
Steven Coyne, Diana Galvan-Sosa, Ryan Spring +4
Recent advances in natural language processing (NLP) have contributed to the development of automated writing evaluation (AWE) systems that can correct grammatical errors. However,…
Can Large Language Models Bridge the Gap in Environmental Knowledge?
Linda Smail, David Santandreu Calonge, Firuz Kamalov +1
This research investigates the potential of Artificial Intelligence (AI) models to bridge the knowledge gap in environmental education among university students. By focusing on pro…
A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition
Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans +59
Robotic cloth manipulation suffers from a lack of standardized benchmarks and shared datasets for evaluating and comparing different approaches. To address this, we created a bench…
Opportunities and Challenges of LLMs in Education: An NLP Perspective
Sowmya Vajjala, Bashar Alhafni, Stefano Bannò +2
Interest in the role of large language models (LLMs) in education is increasing, considering the new opportunities they offer for teaching, learning, and assessment. In this paper,…
UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases
Raj Vardhan Tomar, Preslav Nakov, Yuxia Wang
As large reasoning models (LRMs) grow more capable, chain-of-thought (CoT) reasoning introduces new safety challenges. Existing SFT-based safety alignment studies dominantly focuse…
MOTOR: Multimodal Optimal Transport via Grounded Retrieval in Medical Visual Question Answering
Mai A. Shaaban, Tausifa Jan Saleem, Vijay Ram Papineni +1
Medical visual question answering (MedVQA) plays a vital role in clinical decision-making by providing contextually rich answers to image-based queries. Although vision-language mo…
Text to Image for Multi-Label Image Recognition with Joint Prompt-Adapter Learning
Chun-Mei Feng, Kai Yu, Xinxing Xu +4
Benefited from image-text contrastive learning, pre-trained vision-language models, e.g., CLIP, allow to direct leverage texts as images (TaI) for parameter-efficient fine-tuning (…
Explainable AI: XAI-Guided Context-Aware Data Augmentation
Melkamu Abay Mersha, Mesay Gemeda Yigezu, Atnafu Lambebo Tonja +4
Explainable AI (XAI) has emerged as a powerful tool for improving the performance of AI models, going beyond providing model transparency and interpretability. The scarcity of labe…