Cover Image

MATE-Pred: Multimodal Attention-based TCR-Epitope interaction Predictor

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Goffinet, Etienne, Mall, Raghvendra, Singh, Ankita, Kaushik, Rahul, Castiglione, Filippo
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DiffNMR3: Advancing NMR Resolution Beyond Instrumental Limits
by: Yan, Sen, et al.
Published: (2025)

CASPER: Cross-modal Alignment of Spatial and single-cell Profiles for Expression Recovery
by: Kumar, Amit, et al.
Published: (2025)

DiffNMR: Advancing Inpainting of Randomly Sampled Nuclear Magnetic Resonance Signals
by: Yan, Sen, et al.
Published: (2025)

MANGO: Meta-Adaptive Network Gradient Optimization for Online Continual Learning
by: Awasthi, Ankita, et al.
Published: (2026)

DiffNMR2: NMR Guided Sampling Acquisition Through Diffusion Model Uncertainty
by: Goffinet, Etienne, et al.
Published: (2025)

DistPred: A Distribution-Free Probabilistic Inference Method for Regression and Forecasting
by: Liang, Daojun, et al.
Published: (2024)

OmniPred: Language Models as Universal Regressors
by: Song, Xingyou, et al.
Published: (2024)

PTPP-Aware Adaptation Scaling Laws: Predicting Domain-Adaptation Performance at Unseen Pre-Training Budgets
by: Goffinet, Etienne, et al.
Published: (2025)

TCR-GPT: Integrating Autoregressive Model and Reinforcement Learning for T-Cell Receptor Repertoires Generation
by: Lin, Yicheng, et al.
Published: (2024)

UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions
by: Wang, Yue, et al.
Published: (2026)

CHIMERA-Bench: A Benchmark Dataset for Epitope-Specific Antibody Design
by: Ahmed, Mansoor, et al.
Published: (2026)

SafePred: A Predictive Guardrail for Computer-Using Agents via World Models
by: Chen, Yurun, et al.
Published: (2026)

Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts
by: Nigam, Shubham Kumar, et al.
Published: (2024)

Classification of autoimmune diseases from Peripheral blood TCR repertoires by multimodal multi-instance learning
by: Zhang, Ruihao, et al.
Published: (2025)

MATE: Solving Contextual Markov Decision Processes with Memory of Accumulated Transition Embeddings
by: Hwang, Himchan, et al.
Published: (2026)

Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models
by: Kibria, Md Raisul, et al.
Published: (2025)

Eigen Attention: Attention in Low-Rank Space for KV Cache Compression
by: Saxena, Utkarsh, et al.
Published: (2024)

Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces
by: Kar, Avik, et al.
Published: (2024)

TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series
by: Ashok, Arjun, et al.
Published: (2023)

MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications
by: Algazinov, Aleksandr, et al.
Published: (2025)

Stock Market Price Prediction: A Hybrid LSTM and Sequential Self-Attention based Approach
by: Pardeshi, Karan, et al.
Published: (2023)

CacheFormer: High Attention-Based Segment Caching
by: Singh, Sushant, et al.
Published: (2025)

Self-Attention Mechanism in Multimodal Context for Banking Transaction Flow
by: Delestre, Cyrile, et al.
Published: (2024)

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
by: Wu, Lirong, et al.
Published: (2024)

Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation
by: Yousefzadeh, Nooshin, et al.
Published: (2024)

Reveal-to-Revise: Explainable Bias-Aware Generative Modeling with Multimodal Attention
by: Mohammad, Noor Islam S., et al.
Published: (2025)

Learning Universal Predictors
by: Grau-Moya, Jordi, et al.
Published: (2024)

Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling
by: Marisca, Ivan, et al.
Published: (2024)

Attention Schema-based Attention Control (ASAC): A Cognitive-Inspired Approach for Attention Management in Transformers
by: Saxena, Krati, et al.
Published: (2025)

Sparse-by-Design Cross-Modality Prediction: L0-Gated Representations for Reliable and Efficient Learning
by: Cenacchi, Filippo
Published: (2026)

RACE Attention: A Strictly Linear-Time Attention Layer for Training on Outrageously Large Contexts
by: Joshi, Sahil, et al.
Published: (2025)

Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning
by: Vishwakarma, Rahul, et al.
Published: (2024)

Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis
by: Fartale, Harshwardhan, et al.
Published: (2025)

Cross-Temporal Attention Fusion (CTAF) for Multimodal Physiological Signals in Self-Supervised Learning
by: Khorasani, Arian, et al.
Published: (2026)

A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications
by: Guarrasi, Valerio, et al.
Published: (2024)

Improving Predictor Reliability with Selective Recalibration
by: Zollo, Thomas P., et al.
Published: (2024)

LOLgorithm: Integrating Semantic,Syntactic and Contextual Elements for Humor Classification
by: Khurana, Tanisha, et al.
Published: (2024)

Extreme value forecasting using relevance-based data augmentation with deep learning models
by: Hua, Junru, et al.
Published: (2025)

Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes
by: Li, Guangqiang, et al.
Published: (2025)

CogniAlign: Word-Level Multimodal Speech Alignment with Gated Cross-Attention for Alzheimer's Detection
by: Ortiz-Perez, David, et al.
Published: (2025)