:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Valeh, Fatemeh, Farsang, Monika, Grosu, Radu, Schütz, Gerhard
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Quantitative Methods
Online Access:	https://arxiv.org/abs/2603.11296
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers
by: Lygizou, Elpiniki Maria, et al.
Published: (2024)

MassSpecGym: A benchmark for the discovery and identification of molecules
by: Bushuiev, Roman, et al.
Published: (2024)

Linguistically inspired roadmap for building biologically reliable protein language models
by: Vu, Mai Ha, et al.
Published: (2022)

Synaptic Activation and Dual Liquid Dynamics for Interpretable Bio-Inspired Models
by: Farsang, Mónika, et al.
Published: (2026)

Do we need equivariant models for molecule generation?
by: Nowara, Ewa M., et al.
Published: (2025)

PoET: A generative model of protein families as sequences-of-sequences
by: Truong Jr, Timothy F., et al.
Published: (2023)

Multitask finetuning and acceleration of chemical pretrained models for small molecule drug property prediction
by: Adrian, Matthew, et al.
Published: (2025)

Parameter-free representations outperform single-cell foundation models on downstream benchmarks
by: Souza, Huan, et al.
Published: (2026)

A benchmark for computational analysis of animal behavior, using animal-borne tags
by: Hoffman, Benjamin, et al.
Published: (2023)

In-silico biological discovery with large perturbation models
by: Miladinovic, Djordje, et al.
Published: (2025)

3D molecule generation by denoising voxel grids
by: Pinheiro, Pedro O., et al.
Published: (2023)

A quantum inspired predictor of Parkinsons disease built on a diverse, multimodal dataset
by: Vatsavai, Diya, et al.
Published: (2024)

Generative power of a protein language model trained on multiple sequence alignments
by: Sgarbossa, Damiano, et al.
Published: (2022)

Single-shot reconstruction of three-dimensional morphology of biological cells in digital holographic microscopy using a physics-driven neural network
by: Kim, Jihwan, et al.
Published: (2024)

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data
by: Frank, Robert, et al.
Published: (2025)

Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data
by: Stock, Michiel, et al.
Published: (2024)

Polyformer: a generative framework for thermodynamic modeling of polymeric molecules
by: Valentini, Alessio, et al.
Published: (2026)

HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention
by: Bini, Lorenzo, et al.
Published: (2024)

Domain adaptation in small-scale and heterogeneous biological datasets
by: Orouji, Seyedmehdi, et al.
Published: (2024)

Opportunities in deep learning methods development for computational biology
by: Lee, Alex Jihun, et al.
Published: (2024)

SBSM-Pro: Support Bio-sequence Machine for Proteins
by: Wang, Yizheng, et al.
Published: (2023)

Evaluating DNA function understanding in genomic language models using evolutionarily implausible sequences
by: Jiang, Shiyu, et al.
Published: (2025)

Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology
by: Pillonetto, G., et al.
Published: (2025)

Protein sequence classification using natural language processing techniques
by: Perveen, Huma, et al.
Published: (2024)

ApisTox: a new benchmark dataset for the classification of small molecules toxicity on honey bees
by: Adamczyk, Jakub, et al.
Published: (2024)

Impact of automatic speech recognition quality on Alzheimer's disease detection from spontaneous speech: a reproducible benchmark study with lexical modeling and statistical validation
by: Samanta, Himadri S
Published: (2026)

Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis
by: Zhang, Zeyu, et al.
Published: (2024)

FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
by: Bini, Lorenzo, et al.
Published: (2024)

Unleashing the power of computational insights in revealing the complexity of biological systems in the new era of spatial multi-omics
by: Fan, Zhiwei, et al.
Published: (2025)

Dynamics-inspired Structure Hallucination for Protein-protein Interaction Modeling
by: Wu, Fang, et al.
Published: (2026)

Expanding functional protein sequence space using high entropy generative models
by: Netti, Roberto, et al.
Published: (2026)

Differential Gated Self-Attention
by: Lygizou, Elpiniki Maria, et al.
Published: (2025)

SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects
by: Florensa, Alfred Ferrer, et al.
Published: (2024)

PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation
by: Cheng, Jiabei, et al.
Published: (2025)

Chemical Language Model Linker: blending text and molecules with modular adapters
by: Deng, Yifan, et al.
Published: (2024)

Recovering Time-Varying Networks From Single-Cell Data
by: Hasanaj, Euxhen, et al.
Published: (2024)

The limits of bio-molecular modeling with large language models : a cross-scale evaluation
by: Xu, Yaxin, et al.
Published: (2026)

TEDDY: A Family Of Foundation Models For Understanding Single Cell Biology
by: Chevalier, Alexis, et al.
Published: (2025)

Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
by: Palma, Alessandro, et al.
Published: (2025)

MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis
by: Khalvandi, Fatemeh, et al.
Published: (2026)