| Escaping Redundant Reasoning: Structure-Aware Search for Inference-Time LLMs added by Syntology |
2026-09 (from id) |
GitHubLuCheng/basin/basin/embedding/similarity.py 016f39c07c73576f |
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MIT (permissive) |
| A Gradient Flow Perspective on Minimum MMD Estimation added by Syntology |
2026-07 (from id) |
seulkang0518/MDF_AL/jnp_main.py d92b0a79bba2cba4 |
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| TabCF: Distributional Control Function Estimation with Tabular Foundation Models added by Syntology |
2026-05 (from id) |
CausalML/DeepGMM/baselines/agmm/deep_gmm.py 40939406cc6a9f16 |
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MIT (permissive) |
| Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement added by Syntology |
2026-02 (from id) |
yweibs/RaSD/pretrain/train_RaSD/utils/gen_img.py f401780f978e9846 |
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| Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals added by Syntology |
2026-01 (from id) |
aramis-lab/CIs_Medical_Imaging/src/kernels/gaussian.py 73016539ac8a3be7 |
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| One-shot Conditional Sampling: MMD meets Nearest Neighbors added by Syntology |
2025-09 (from id) |
anirbanc96/cgmmd/Ablation/nn_bandwidth/Kernels.py 4bd0b303457583b9 |
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MIT (permissive) |
| Normalizing Diffusion Kernels with Optimal Transport |
8 Jul 2025 |
RobinMagnet/SinkhornKernels/sinkhornkernels/kernels.py ca1dbb9dd33ed73d |
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MIT (permissive) |
| Re-thinking Temporal Search for Long-Form Video Understanding |
3 Apr 2025 |
longvideohaystack/tstar/LVHaystackBench/val_tstar_results.py 95559112c5b7be75 |
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MIT (permissive) |
| Doubly robust identification of treatment effects from multiple environments |
18 Mar 2025 |
jaabmar/RAMEN/RAMEN/models/ramen.py 1c4221b5f7ba7e83 |
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MIT (permissive) |
| Projecting Assumptions: The Duality Between Sparse Autoencoders and Concept Geometry |
3 Mar 2025 |
KempnerInstitute/Overcomplete/overcomplete/sae/jump_sae.py cb509c068da815e4 |
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MIT (permissive) |
| AccDiffusion v2: Towards More Accurate Higher-Resolution Diffusion Extrapolation |
3 Dec 2024 |
lzhxmu/accdiffusion_v2/accdiffusion_plus.py 426a6e743be91d5f |
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| ZoomLDM: Latent Diffusion Model for multi-scale image generation |
25 Nov 2024 |
cvlab-stonybrook/ZoomLDM/large_image_gen/utils.py cd927cf05827a83d |
unverified |
MIT (permissive) |
| Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis |
31 Oct 2024 |
JiayuSuPKU/sispca/sispca/model.py 1f9ef96229ba4b75 |
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MIT (permissive) |
| Data subsampling for Poisson regression with pth-root-link |
30 Oct 2024 |
Tim907/poisson-regression/efficient_poisson_regression/metrics.py c8c367cbc656fc9a |
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| AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image Generation |
8 Oct 2024 |
kmittle/RepLDM/InferencePipelines/RepLDM/pipeline_repldm_sdxl.py 426a6e743be91d5f |
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Apache-2.0 (permissive) |
| AP-LDM: Attentive and Progressive Latent Diffusion Model for Training-Free High-Resolution Image Generation |
8 Oct 2024 |
kmittle/ap-ldm/InferencePipelines/FreeScale/scale_attention.py 86e9169096b0fed4 |
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Apache-2.0 (permissive) |
| Towards Representation Learning for Weighting Problems in Design-Based Causal Inference |
24 Sep 2024 |
oscarclivio/representations_weighting/src/metrics.py eb06aba842f4f9ef |
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| HiPrompt: Tuning-free Higher-Resolution Generation with Hierarchical MLLM Prompts |
4 Sep 2024 |
Liuxinyv/HiPrompt/hiprompt_sdxl_llava.py 426a6e743be91d5f |
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| Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence |
29 Aug 2024 |
clementinechazal/KKL-divergence-gradient-flows/Regularized/kale_flow_master/kernel_wasserstein_flows/kernel_wasserstein_flows/kernels.py 6fb23c47226c3604 |
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| AccDiffusion: An Accurate Method for Higher-Resolution Image Generation |
15 Jul 2024 |
lzhxmu/AccDiffusion/accdiffusion_sdxl.py 426a6e743be91d5f |
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| Mirror and Preconditioned Gradient Descent in Wasserstein Space |
13 Jun 2024 |
clbonet/Mirror_and_Preconditioned_Gradient_Descent_in_Wasserstein_Space/lib_jax/mmdf.py de0ddc485474c498 |
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| Kernel Semi-Implicit Variational Inference |
29 May 2024 |
longinyu/ksivi/utils/kernels.py 447cd6e519ab757f |
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| Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies |
29 May 2024 |
haanvid/kmifqe/KMIFQE.py 375fe0e2f099808a |
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MIT (permissive) |
| Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses |
28 May 2024 |
pakoromilas/DHEL-KCL/utils.py 01e2c8ff869dd49d |
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| On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning? |
3 May 2024 |
maxzanella/mta/mta.py abf7adc7e3aac64a |
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MIT (permissive) |
| Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures |
29 Jan 2024 |
ibm/learn-vector-symbolic-architectures-rule-formulations/src/attribute_level_backend.py 1c8dd285caf66c7d |
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| Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty |
2 Dec 2023 |
joeyy5588/planning-as-inpainting/datasets/alfred.py 40966c231d479773 |
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| Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty |
2 Dec 2023 |
joeyy5588/planning-as-inpainting/datasets/gridworld_heatmap.py ee3a6cf6057e204e |
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| Robust Concept Erasure via Kernelized Rate-Distortion Maximization |
30 Nov 2023 |
brcsomnath/KRaM/src/metrics.py c4b2effb5d8110a1 |
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MIT (permissive) |
| DemoFusion: Democratising High-Resolution Image Generation With No $$$ |
24 Nov 2023 |
PRIS-CV/DemoFusion/pipeline_demofusion_sdxl_controlnet.py 426a6e743be91d5f |
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MIT (permissive) |
| What's in a Prior? Learned Proximal Networks for Inverse Problems |
22 Oct 2023 |
sulam-group/learned-proximal-networks/lpn/operators/blur.py c8dfbf8c31f8fd0d |
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Apache-2.0 (permissive) |
| Doubly Robust Proximal Causal Learning for Continuous Treatments |
22 Sep 2023 |
yezichu/pcl_continuous_treatment/utils/kernel.py ed2c5f8630d24404 |
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MIT (permissive) |
| Harmonizing the object recognition strategies of deep neural networks with humans |
8 Nov 2022 |
serre-lab/harmonization/harmonization/common/blur.py 4f95baae9c000390 |
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MIT (permissive) |
| Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions |
24 Oct 2022 |
haanvid/kmis/off_pol_eval_functs.py 0f48c368746fcb00 |
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MIT (permissive) |
| Spherical Sliced-Wasserstein |
17 Jun 2022 |
clbonet/Spherical_Sliced-Wasserstein/SWAE/xp_swae.py dc6fed6be8b7877e |
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| $p$-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets |
25 Mar 2022 |
cxan96/efficient-probit-regression/efficient_probit_regression/metrics.py c8c367cbc656fc9a |
unverified |
MIT (permissive) |
| Instrument Space Selection for Kernel Maximum Moment Restriction |
7 Jun 2021 |
RuiZhang2016/Instrument-Space-Selection-for-Kernel-Maximum-Moment-Restriction/our_method/lisc_linear.py c345cceb5f51f7cb |
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| Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions |
2 Jun 2021 |
borgwardtlab/ggme/src/metrics/kernels.py 31a99a406af1fcf6 |
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BSD-3-Clause (permissive) |
| Distribution Matching for Rationalization |
1 Jun 2021 |
kochsnow/distribution-matching-rationality/core/dist.py 554a1badcccb0448 |
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MIT (permissive) |
| Feature Space Targeted Attacks by Statistic Alignment |
25 May 2021 |
yaya-cheng/PAA-GAA/fp_attack_den121.py f783efd94b081745 |
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Apache-2.0 (permissive) |
| Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions |
14 May 2020 |
qingzwang/AudioVisualCrowdCounting/misc/ssim_loss.py 1572a091b2b5d602 |
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MIT (permissive) |
| Stillleben: Realistic Scene Synthesis for Deep Learning in Robotics |
12 May 2020 |
AIS-Bonn/stillleben/python/stillleben/diff.py eccc758395dac1a4 |
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MIT (permissive) |
| Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning |
24 Apr 2020 |
microsoft/DisentangledFaceGAN/training/loss_control.py 66f866bbf81a287d |
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MIT (permissive) |
| Probabilistic Pixel-Adaptive Refinement Networks |
31 Mar 2020 |
visinf/ppac_refinement/src/models_refine/refinement_networks.py 57ad6170ea367d6e |
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Apache-2.0 (permissive) |
| Machine learning enables completely automatic tuning of a quantum device faster than human experts |
8 Jan 2020 |
oxquantum-repo/Tuning_old/registration_core.py a2f01c3070ff282f |
unverified |
MIT (permissive) |
| MLPerf Inference Benchmark |
6 Nov 2019 |
mlcommons/inference/vision/medical_imaging/3d-unet-kits19/inference_utils.py dd5f36b69e453200 |
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Apache-2.0 (permissive) |
| Correlation Coefficients and Semantic Textual Similarity |
19 May 2019 |
Babylonpartners/corrsim/similarity/cka.py 8977dd7933a6415a |
unverified |
Apache-2.0 (permissive) |
| Spatial-Temporal Person Re-identification |
8 Dec 2018 |
SurajDonthi/Multi-Camera-Person-Re-Identification/mtmct_reid/metrics.py fcbb1dec4242c64e |
unverified |
MIT (permissive) |
| Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families |
8 Jun 2015 |
karlnapf/kernel_exp_family/kernel_exp_family/kernels/kernels.py 1a4110008b634268 |
unverified |
BSD-3-Clause (permissive) |
| Point-Set Registration: Coherent Point Drift |
15 May 2009 |
siavashk/pycpd/pycpd/utility.py 4f1931c292e385c7 |
unverified |
MIT (permissive) |
| arXiv:aaai_27987 |
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ajevnisek/optimize-and-reduce/models/pyramid.py 2951c06021603cd6 |
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MIT (permissive) |
| arXiv:Li_Data_Valuation_and_Detections_in_Federated_Learning_CVPR_2024_paper |
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muz1lee/MOTdata/geomloss/kernel_samples.py e48a4e3b1a768ff6 |
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MIT (permissive) |
| arXiv:Danier_ST-MFNet_A_Spatio-Temporal_Multi-Flow_Network_for_Frame_Interpolation_CVPR_2022_paper |
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danielism97/ST-MFNet/utility.py 3157c8f51fa54ff6 |
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MIT (permissive) |