Writing study: Cross-Domain Lossy Compression via Rate- and Classification-Constrained Optimal Transport
← ICLR 2026 oral writing corpus
Nam Nguyen, Thinh Nguyen, Bella Bose · Official ICLR 2026 oral record
Figure, table and section ledger
Editorial contribution type: Theory & formal foundations (primary) · Learning & optimization algorithms.
Layout extraction, not a required paper template. Counts are distinct caption labels; a multi-panel figure counts once. Section spans are estimated from heading positions, including floats and whitespace. Method and limitations.
- Canonical PDF
- 50 physical pages
- Before references / appendix
- ≈ 9.17 page-equivalents
- Main figures / tables
- 6 / 0
- Attached appendix figures / tables
- 13 / 15
- Attached appendix span
- ≈ 35.84 page-equivalents
Section-by-section lengths and source pages
The title/abstract/front matter precede the first numbered heading. A span ends at the next detected top-level heading, not at the last sentence; end-page whitespace is included. References and statements are listed separately. These are not measurements of text-only or artwork area.
| Top-level heading | Starts on PDF page | Estimated span | Share of entire PDF |
|---|---|---|---|
| 1 INTRODUCTION | 1 | ≈ 1.06 pp. | 2.12% |
| 2 SYSTEM MODEL AND ONE-SHOT SETTING RESULTS | 2 | ≈ 2.59 pp. | 5.18% |
| 3 SYSTEM MODEL AND ASYMPTOTIC SETTING RESULTS | 5 | ≈ 2.5 pp. | 5% |
| 4 RELATED WORKS | 7 | ≈ 0.61 pp. | 1.22% |
| 5 EXPERIMENTAL RESULTS | 8 | ≈ 1.36 pp. | 2.72% |
| 6 CONCLUSION | 9 | ≈ 0.48 pp. | 0.96% |
| REFERENCES | 10 | ≈ 4.98 pp. | 9.96% |
| A THEORETICAL RESULTS | 15 | ≈ 15.95 pp. | 31.9% |
| B EXPERIMENTAL RESULTS | 31 | ≈ 15 pp. | 30% |
| C ADDITIONAL EXPERIMENTAL RESULTS | 46 | ≈ 4.89 pp. | 9.78% |
All detected figure and table locations
Attached appendix
- Figure 7 · p. 32
- Figure 8 · p. 33
- Figure 9 · p. 34
- Figure 10 · p. 35
- Figure 11 · p. 36
- Figure 12 · p. 38
- Figure 13 · p. 39
- Table 1 · p. 41
- Table 2 · p. 41
- Table 3 · p. 42
- Table 4 · p. 42
- Table 5 · p. 42
- Table 6 · p. 43
- Table 7 · p. 44
- Table 8 · p. 44
- Table 9 · p. 44
- Table 10 · p. 45
- Table 11 · p. 45
- Table 12 · p. 45
- Figure 14 · p. 46
- Figure 15 · p. 46
- Figure 16 · p. 47
- Figure 17 · p. 47
- Figure 18 · p. 48
- Figure 19 · p. 49
- Table 13 · p. 49
- Table 14 · p. 49
- Table 15 · p. 50
Argument and organization
- Constrained transport and coding
Defines separate marginal, rate and label-information requirements.
- One-shot and asymptotic regimes
Organizes Bernoulli and Gaussian claims under distinct coding assumptions.
- Neural implementation and empirical trade-offs
Maps theoretical quantities to practical surrogate losses.
Problem, claim and contribution
The motivation distinguishes restoring a target distribution from reproducing a degraded input. However, the distortion remains between input and reconstruction, so the reader must keep distributional restoration separate from paired clean-target error.
§§1–2, pp.1–3; §5.1, p.8 · Main paper
Argument and section order
Numbered definitions separate one-shot entropy constraints from asymptotic mutual information. The practical rate upper bound and later entropy-model estimate are different quantities, and should retain their units instead of sharing an unexplained rate axis.
Definitions2–3, pp.3,5; §5.1, p.8; AppendixB.1, p.31 · Main paper
Figures, captions and visual explanation
Figure5 links the dither add/subtract path, discriminator, classifier and distortion loss explicitly. Figure18 then places classification accuracy beside conditional-entropy estimates, although labeling a learned-posterior estimate exact overstates what the experiment establishes.
Figure5, p.8; AppendixC.4 and Figure18, p.48 · Main paper
Tables, comparisons and evidence
Appendix tables expose non-monotonic experimental points hidden by general monotonic wording. The Kodak comparison also acknowledges that BM3D has no rate penalty, but supplies no bitrate column, preventing verification of a matched-rate superiority claim.
Tables1–5, pp.41–42; Tables11–12, p.45; Table15, p.50 · Main paper
Appendix and reproducibility
Reading the proofs reveals substantive issues requiring clarification: AppendixA.1.2 replaces H(S|Y) by an average conditional on the shared seed, and AppendixA.1.3 assigns finite mutual information to Y=X for a nondegenerate continuous Gaussian.
AppendixA.1.2, pp.16–17; AppendixA.1.3 Case4, p.21 · Main paper
Clarity and writing conventions
Synthetic samples drawn from a theorem-prescribed coupling check that construction's behavior, not optimality over all couplings. The conclusion's confirmed-theory wording is therefore too strong, especially alongside the unresolved entropy and feasibility issues.
§6, p.9; AppendixC.3, pp.47–48 · Main paper
What to reuse—and what not to infer
Transferable lesson: For theory-to-system papers, preserve the exact conditioning variables, feasible regimes and operational rate units all the way from definitions to figures; empirical agreement is not a substitute for a valid derivation.
Boundary: Full reading is not proof certification. Several supplied formulas and architecture descriptions require correction or reconciliation before scientific reuse. Fluorescence nuclei experiments are not WSI pathology validation; unsupervised restoration still uses semantic labels and target-distribution information in the described objectives.
Apply this lesson using the argument and evidence worksheet.
Inspection record and sources
- Checked
- 2026-09-19
- Reading status
- Full text + selected visuals inspected
- Main text
- pp.1–9, §§1–6; references pp.10–14
- Appendix / supplement
- pp.15–50, A–C: complete supplied proofs, rate estimation, restoration protocols, architecture tables, synthetic checks and additional comparisons
- Visually inspected PDF pages
- 8, 48
- official ICLR 2026 proceedings PDF · 50 pages