Nvidia (United States)

The work proposes Surgical Action World (SAW), which reformulates video-to-video diffusion as trajectory-conditioned surgical action synthesis conditioned only on four lightweight signals—a language prompt, a reference first frame, a tissue affordance mask, and 2D tool-tip trajectories—fine-tunes LTX-Video on a custom-curated dataset of 12,044 laparoscopic clips with a depth consistency loss, reaches CD-FVD 199.19 (vs. 546.82 for SurgSora) and FVD 224.28 on held-out test data, and demonstrates that augmenting rare actions with generated videos improves action recognition on real test data (clipping F1 20.93% to 43.14%; cutting 0.00% to 8.33%) plus initial feasibility of rendering tool-tissue interaction videos from simulator-derived trajectories.

The work proposes Surgical Action World (SAW), which reformulates video-to-video diffusion as trajectory-conditioned surgical action synthesis conditioned only on four lightweight signals—a language prompt, a reference first frame, a tissue affordance mask, and 2D tool-tip trajectories—fine-tunes LTX-Video on a custom-curated dataset of 12,044 laparoscopic clips with a depth consistency loss, reaches CD-FVD 199.19 (vs. 546.82 for SurgSora) and FVD 224.28 on held-out test data, and demonstrates that augmenting rare actions with generated videos improves action recognition on real test data (clipping F1 20.93% to 43.14%; cutting 0.00% to 8.33%) plus initial feasibility of rendering tool-tissue interaction videos from simulator-derived trajectories.

This work systematically derives a family of algorithms for the LTLT (L unit lower triangular, T skew-symmetric tridiagonal) triangular tridiagonalization of a skew-symmetric matrix X using the FLAME methodology, presents unpivoted and pivoted blocked right-looking, left-looking, and fused variants, identifies new level-2 and level-3 BLAS-like operations, and implements them with BLIS 2.0 packing mechanisms and OpenMP parallelism; experiments show the best implementations greatly exceed the performance of the only known prior software, PFAPACK and Pfaffine, while matching or exceeding related symmetric factorization software.

This work systematically derives a family of algorithms for the LTLT (L unit lower triangular, T skew-symmetric tridiagonal) triangular tridiagonalization of a skew-symmetric matrix X using the FLAME methodology, presents unpivoted and pivoted blocked right-looking, left-looking, and fused variants, identifies new level-2 and level-3 BLAS-like operations, and implements them with BLIS 2.0 packing mechanisms and OpenMP parallelism; experiments show the best implementations greatly exceed the performance of the only known prior software, PFAPACK and Pfaffine, while matching or exceeding related symmetric factorization software.

This work fine-tunes baseline models on 27 widely used benchmark datasets, categorizes heterophilic datasets into malignant, benign, and ambiguous groups based on whether graph-aware models underperform their coupled graph-agnostic counterparts, re-evaluates 11 SOTA heterophily-specific models, and conducts the first quantitative evaluation of 11 homophily metrics on synthetic graphs from three generation methods, finding that most SOTA models do not significantly outperform the best baselines and that classic metrics remain competitive.

This work fine-tunes baseline models on 27 widely used benchmark datasets, categorizes heterophilic datasets into malignant, benign, and ambiguous groups based on whether graph-aware models underperform their coupled graph-agnostic counterparts, re-evaluates 11 SOTA heterophily-specific models, and conducts the first quantitative evaluation of 11 homophily metrics on synthetic graphs from three generation methods, finding that most SOTA models do not significantly outperform the best baselines and that classic metrics remain competitive.