ICLR 2025 Past Other

ICLR 2025 Workshop on AI for Nucleic Acids

ICLR 2025 AI4NA

Submission deadline
Feb 14, 2025, 11:59 UTC
imported from OpenReview — check the website for extensions
Submission portal
OpenReview
Notes
Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (35)

Fetched from OpenReview (v2) on 2026-06-10.

  1. A Comprehensive Library for RNA Structure-Function Modeling

    Luis Wyss, Vincent Mallet, Wissam Karroucha, Karsten Borgwardt, Carlos Oliver · PDF
  2. Accelerating Aptamer Discovery using a Transformer Based T5 Model: A Preliminary Study

    Soniya, Runjhun Saran Narayan, Apurva Narayan
  3. arowana: a transformer-based training framework for RNA basecalling and modification detection

    Yuk Kei Wan, Christopher Hendra, Bing Shao Chia, Wei Leong Chew, Jonathan Goeke · PDF
  4. Bayesian Approximation of RNA Folding Times

    Dominik Scheuer, Frederic Runge, Jörg K.H. Franke, Michael T. Wolfinger, Christoph Flamm, Frank Hutter · PDF
  5. Benchmarking Fine-Tuned RNA Language Models for Intronic Branch Point Prediction

    Pablo Rodenas Ruiz, Ali Saadat, Timothy T. Tran, Oliver Müller Smedt, Peng Zhang, Jacques Fellay · PDF
  6. Campolina: A Deep Neural Framework for Accurate Segmentation of Nanopore Signals

    Sara Bakić, Kresimir Friganovic, Bryan Hooi, Mile Sikic
  7. Character-level Tokenizations as Powerful Inductive Biases for RNA Foundational Models

    Adrian Morales-Pastor, Raquel Vázquez-Reza, Miłosz Wieczór, Clàudia Valverde, Manel Gil-Sorribes, Bertran Miquel-Oliver, Alvaro Ciudad Serrano, Alexis Molina · PDF
  8. Crypto-ncRNA: Non-coding RNA (ncRNA) Based Encryption Algorithm

    WangXu, YiquanWang, Tin-Yeh Huang · PDF
  9. Decision Tree Induction with Dynamic Feature Generation: A Framework for Interpretable DNA Sequence Analysis

    Nicolas Huynh, Krzysztof Kacprzyk, Ryan M Sheridan, David L. Bentley, Mihaela van der Schaar
  10. Differentiable Folding for Nearest Neighbor Model Optimization

    Ryan Krueger, Sharon Aviran, David H. Mathews, Jeffrey Zuber, Max Ward
  11. Enhancing DNA Foundation Models to Address Masking Inefficiencies

    Monireh Safari, Pablo Andres Millan Arias, Scott C. Lowe, Lila Kari, Angel X Chang, Graham W. Taylor · PDF
  12. EvoFlow-RNA: Generating and Representing non-coding RNA with a Language Model

    Sawan Patel, Fred Zhangzhi Peng, Keith Fraser, Adam David Friedman, Pranam Chatterjee, Sherwood Yao · PDF
  13. FFPEnet: Somatic variant calling in FFPE tumor samples using deep transfer learning

    Kiran Krishnamachari, Anders Jacobsen Skanderup · PDF
  14. Flexible Models of Functional Annotations to Variant Effects using Accelerated Linear Algebra

    Alan Nawzad Amin, Andres Potapczynski, Andrew Gordon Wilson · PDF
  15. From Mutation to Degradation: Predicting Nonsense-Mediated mRNA Decay with NMDEP

    Ali Saadat, Jacques Fellay
  16. GENATATOR: de novo Gene Annotation With DNA Language Model

    Aleksei Shmelev, Artem Shadskiy, Yuri Kuratov, Mikhail Burtsev, Olga Kardymon, Veniamin Fishman · PDF
  17. Gumbel-Softmax Score and Flow Matching for Discrete Biological Sequence Generation

    Sophia Tang, Yinuo Zhang, Alexander Tong, Pranam Chatterjee · PDF
  18. HARMONY: A Multi-Representation Framework for RNA Property Prediction

    Junjie Xu, Artem Moskalev, Tommaso Mansi, Mangal Prakash, Rui Liao · PDF
  19. HyperGenie: A method for predicting enzymatic gene essentiality using hypergraph neural networks and genome-scale metabolic models

    Panayiotis Ioannou, Iulia Duta, Suraj Verma, Pietro Cicuta, Pietro Lio, Claudio Angione
  20. InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference

    Tianyu Cui, Song-Jun Xu, Artem Moskalev, Shuwei Li, Tommaso Mansi, Mangal Prakash, Rui Liao · PDF
  21. Long-range gene expression prediction with token alignment of large language model

    Edouardo Honig, Huixin Zhan, Ying Nian Wu, Zijun Frank Zhang
  22. MoXGATE: Modality-Aware Cross-Attention for Multi-Omic Gastrointestinal Cancer Subtype Classification

    Sajib Acharjee Dip · PDF
  23. On inputs to deep learning for RNA 3D structure prediction

    Marcell Szikszai, Marcin Magnus, Sachin Kadyan, Elena Rivas · PDF
  24. Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction

    Ruben Weitzman, Peter Mørch Groth, Aoi Otani, Yarin Gal, Debora Susan Marks, Pascal Notin
  25. ProtRNA: A Protein-derived RNA Language Model by Cross-Modality Transfer Learning

    Ruoxi Zhang, Ben Ma, Gang Xu, Jianpeng Ma
  26. Re-purposing GNNome: Genome Assembly Postprocessing (GAP)

    Joshua Emmanuel Teo, Martin Schmitz · PDF
  27. RiboGen: RNA Sequence and Structure Co-Generation with Equivariant Multiflow

    Dana Rubin, Allan Dos Santos Costa, Manvitha Ponnapati, JOSEPH JACOBSON · PDF
  28. RNAGym: Benchmarks for RNA Fitness and Structure Prediction

    Rohit Arora, Murphy Angelo, Christian Andrew Choe, Aaron W Kollasch, Fiona Qu, Courtney A. Shearer, Ruben Weitzman, Artem Gazizov, Sarah Gurev, Erik Xie, Debora Susan Marks, Pascal Notin
  29. RNAlign: Alignment of tumor and cell line transcriptomes using conditional VAEs

    Jacob Alvarez, Kiran Krishnamachari, Anders Jacobsen Skanderup · PDF
  30. scContrast: A contrastive learning based approach for encoding single-cell gene expression data

    Winston Yuxiang Li, Ghulam Murtaza, Ritambhara Singh
  31. siRNA-mRNA dual diffusion model for RNAi drug design

    Zhiqi Ma, Xubin Zheng
  32. SPACE: Your Genomic Profile Predictor is a Powerful DNA Foundation Model

    Jiwei Zhu, Zhao Yang, Bing Su · PDF
  33. Understanding DNA Discrete Diffusion for Engineering Regulatory DNA Sequences

    Anirban Sarkar, Yijie Kang, Nirali Somia, Peter K Koo · PDF
  34. VirProBERT: A Sequence Language Model for Predicting Viral Hosts

    Blessy Antony, Maryam Haghani, Anuj Karpatne, T. Murali
  35. Zero-Shot Extrapolation in State-Space Models for Long-Range Genomics

    Matvei Popov, Aymen Kallala, Anirudha Ramesh · PDF