Data scientists and ML researchers read dozens of research papers every week — arXiv preprints, conference proceedings from NeurIPS, ICML, and ICLR, technical reports from AI labs, and statistical methods papers. Most arrive as two-column PDFs that are uncomfortable on a phone screen. Converting to EPUB gives reflowable, single-column text that reads well on any device — phone, e-reader, or tablet — making it easy to keep up with the literature during a commute or between meetings.
| Source | Content | Access |
|---|---|---|
| arXiv (cs.LG, stat.ML) | ML, deep learning, statistics preprints | arxiv.org — free |
| NeurIPS / ICML / ICLR | Conference proceedings, workshops, posters | proceedings.neurips.cc / icml.cc — free |
| ACM DL / IEEE Xplore | Computer science and data engineering papers | dl.acm.org / ieeexplore.ieee.org — subscription |
| DeepMind / OpenAI / Meta AI | Technical reports, model cards, safety papers | deepmind.com / openai.com / ai.meta.com — free |
| Google Research | Research papers, Brain team publications, datasets | research.google — free |
| JMLR / Statistics textbooks | Journal of ML Research, Bishop PRML, Murphy PML | jmlr.org — free; textbooks via publisher |
| Workflow | Device / App | Approach |
|---|---|---|
| Commute paper reading | Kindle / Kobo / phone | Convert arXiv PDFs to EPUB; read introduction and related work sections offline |
| Deep reading with notes | BOOX Note Air / reMarkable 2 | Convert paper to EPUB; annotate with stylus; export notes for literature review |
| Conference proceedings catch-up | Phone / tablet | Batch convert NeurIPS or ICML papers of interest; organise in Calibre by topic |
| Textbook study | iPad / large e-reader | Convert PRML or Murphy chapters to EPUB for reflowable text alongside lecture notes |
Data scientists commonly convert arXiv preprints (machine learning, statistics, computer vision, NLP), NeurIPS, ICML, ICLR, and ACM/IEEE conference papers, technical reports from AI labs (DeepMind, OpenAI, Meta AI, Google Research), and textbooks such as Bishop's PRML or the Deep Learning book. These are well-structured academic PDFs that convert cleanly to EPUB.
Download the PDF from arxiv.org, then upload it at toolkit.bot. Alternatively, use the toolkit.bot API to automate conversion of multiple papers. The converter handles the two-column conference paper format, equations rendered as images, and bibliography sections common in ML papers. Download the EPUB and transfer it to your reading app.
Equations rendered as images in the source PDF are preserved as images in the EPUB — they display correctly on screen. LaTeX-rendered equations that appear inline may vary by document. Code listings in monospace font convert as text blocks. For papers where precise equation rendering is critical, keep the original PDF alongside the EPUB.
A Kindle Paperwhite or Kobo Libra is ideal for text-heavy methodology and introduction sections. For annotating key contributions and comparing architectures, a large-screen E Ink device (BOOX Note Air, reMarkable 2) or a tablet with Apple Books or Kindle app gives more space and stylus annotation.
toolkit.bot supports single-file conversion via the web interface and batch conversion via the API. If you have a reading list of arXiv papers, download the PDFs, then use the API to convert them all and download the resulting EPUBs for transfer to your e-reader.
Related: arXiv to EPUB guide · Research paper PDF to EPUB · BOOX Note Air EPUB guide · PDF to EPUB converter