| A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes added by Syntology |
2026-08 (from id) |
Yijin911/FRHSIC/experiments/ablation.py 8617eb9e57635918 |
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MIT (permissive) |
| A Joint-Distribution Route to Fair Representations with Continuous Sensitive Attributes added by Syntology |
2026-08 (from id) |
Yijin911/FRHSIC/experiments/convergence.py 114b0dfd5a60edf2 |
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MIT (permissive) |
| Causal Risk Minimization for High-Dimensional Treatments added by Syntology |
2026-05 (from id) |
nikitadhawan/causal-risk-minimization/src/toy_gaussian.py 8a28e743322d5ccc |
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| SMART: A Spectral Transfer Approach to Multi-Task Learning added by Syntology |
2026-04 (from id) |
boxinz17/smart/smart/smart/utils.py 42cf52dc429d354f |
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MIT (permissive) |
| CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression added by Syntology |
2026-03 (from id) |
Monoxido45/CREDO/comparisons/helper.py 91173f35dc520a93 |
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| The Ensemble Inverse Problem: Applications and Methods added by Syntology |
2026-01 (from id) |
ZhengyanHuan/The-Ensemble-Inverse-Problem--Applications-and-Methods/Sec3p2/dataset.py 537c31adc165dffa |
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| Information Hidden in Gradients of Regression with Target Noise added by Syntology |
2026-01 (from id) |
edahelsinki/noisy_targets/notes/utils.py f30a106451e1487e |
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MIT (permissive) |
| Low-Dimensional Adaptation of Rectified Flow: A Diffusion and Stochastic Localization Perspective added by Syntology |
2026-01 (from id) |
roysaptaumich/Low-dim-RF/data_generator.py e4b938638f0e2605 |
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| Safe Domains of Attraction for Discrete-Time Nonlinear Systems: Characterization and Verifiable Neural Network Estimation |
16 Jun 2025 |
RuikunZhou/Safe_ROA_dt_LyZNet/src/lyznet/generate_data.py e66ffc24945aaea7 |
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| On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization |
6 Jun 2025 |
CyberAgentAILab/dte_car/simulation.py 43eac1e884497105 |
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MIT (permissive) |
| Unpacking Positional Encoding in Transformers: A Spectral Analysis of Content-Position Coupling |
19 May 2025 |
Qihuai27/Deposit-Pattern-Research/dis_gen/1_data_preparation/data-gen.py 2e688674c9dc7c67 |
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MIT (permissive) |
| Globally Convergent Variational Inference |
14 Jan 2025 |
declanmcnamara/gcvi_neurips/amortized_clustering/generate.py 9419bd6dacc97f35 |
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MIT (permissive) |
| Globally Convergent Variational Inference |
14 Jan 2025 |
declanmcnamara/gcvi_neurips/canonical_gaussian/generate.py 0e38816dc105e9f8 |
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MIT (permissive) |
| Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning |
1 Nov 2024 |
KU-MLIP/SolvableMultiFeatureGAN/data.py d3542fe2e07d4605 |
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| An Information Criterion for Controlled Disentanglement of Multimodal Data |
31 Oct 2024 |
uhlerlab/DisentangledSSL/synthetic_task/dataset.py f14b06907824c231 |
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| High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching |
14 Oct 2024 |
Leyangw/tsm/loggle/Loggle_ROC.py b343b024bcdb434e |
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MIT (permissive) |
| High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching |
14 Oct 2024 |
Leyangw/tsm/loggle/Loggle_power.py 6873a0bfe21b5090 |
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MIT (permissive) |
| High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching |
14 Oct 2024 |
Leyangw/tsm/loggle/Loggle_type_i_deterministic.py c5c14cafa07d89b3 |
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MIT (permissive) |
| High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching |
14 Oct 2024 |
Leyangw/tsm/loggle/Loggle_type_i_random.py 03ca2cd855ca00ee |
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MIT (permissive) |
| Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection |
28 Jun 2024 |
mala-lab/sten/utils/data.py 8a3cb24dcc21da58 |
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| Redefining Contributions: Shapley-Driven Federated Learning |
1 Jun 2024 |
tnurbek/shapfed/data_loader.py ff381e1e66566414 |
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Apache-2.0 (permissive) |
| Deep linear networks for regression are implicitly regularized towards flat minima |
22 May 2024 |
PierreMarion23/implicit-reg-sharpness/utils.py 5870180258b6c8a6 |
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MIT (permissive) |
| Stabilizing Backpropagation Through Time to Learn Complex Physics |
3 May 2024 |
tum-pbs/StableBPTT/CartPole/Simulations/01/multi_cartpole_data.py c0a943c1eb479ed7 |
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| Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations |
15 Apr 2024 |
krzysztof-kacprzyk/shares/experiments/risk_scores_data.py bc19b59ce41fe5ec |
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| Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference |
15 Mar 2024 |
declanmcnamara/smc-wake/high_dim_gaussian/generate.py 386eeb10aa3dd7b3 |
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| Prediction-Powered Ranking of Large Language Models |
27 Feb 2024 |
Networks-Learning/prediction-powered-ranking/src/synthetic.py 89a90895358d82f5 |
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MIT (permissive) |
| DoRA: Weight-Decomposed Low-Rank Adaptation |
14 Feb 2024 |
catid/dora/dora.py f040823d10747c45 |
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MIT (permissive) |
| Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects |
7 Feb 2024 |
predict-idlab/cct-cmc/src/datasets/alaa_synthetic.py 484ffc15894a9366 |
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MIT (permissive) |
| The Rise of Diffusion Models in Time-Series Forecasting |
5 Jan 2024 |
ai4healthuol/sssd/src/entensions/cauchy/benchmark_cauchy.py 6ecb7499d0e944c1 |
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MIT (permissive) |
| Linear attention is (maybe) all you need (to understand transformer optimization) |
2 Oct 2023 |
chengxiang/lineartransformer/linear_transformer.py 50007a7805d0a01a |
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| A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data |
24 Sep 2023 |
ailwq/dysymnet/DySymNet/SymbolicRegression.py c65e59afc4e6086a |
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MIT (permissive) |
| A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data |
24 Sep 2023 |
ailwq/dysymnet/DySymNet/SymbolicRegression.py 8fc5b034a28064c8 |
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MIT (permissive) |
| A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services |
2023-09 (from id) |
tasi-lab/over-unlearning/generate_attack.py 6aac7cb910311018 |
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| Information decomposition in complex systems via machine learning |
10 Jul 2023 |
distributed-information-bottleneck/distributed-information-bottleneck.github.io/chaos/chaos_data.py 7406399ef46ff704 |
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| Factorized Contrastive Learning: Going Beyond Multi-view Redundancy |
8 Jun 2023 |
pliang279/FactorCL/Synthetic/dataset.py 163224ba7c2a61f9 |
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MIT (permissive) |
| End-to-end Differentiable Clustering with Associative Memories |
5 Jun 2023 |
bsaha205/clam/plot_gaussian.py ac7a55ce33b3c50e |
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MIT (permissive) |
| Conformal Prediction with Missing Values |
5 Jun 2023 |
mzaffran/conformalpredictionmissingvalues/generation.py 2f4cd90bdd887e3f |
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MIT (permissive) |
| Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback |
25 May 2023 |
sketch-exp/kmax/experiments/framework-cat.py d80e19aba9bcc4e5 |
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Apache-2.0 (permissive) |
| Combinatorial Bandits for Maximum Value Reward Function under Max Value-Index Feedback |
25 May 2023 |
sketch-exp/kmax/experiments/framework.py 9e55351dce950570 |
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Apache-2.0 (permissive) |
| Kernel based quantum machine learning at record rate : Many-body distribution functionals as compact representations |
2023-03 (from id) |
dkhan42/mbdf/MBDF.py 3c1a9d2ef023d705 |
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MIT (permissive) |
| Identifiability Results for Multimodal Contrastive Learning |
16 Mar 2023 |
imantdaunhawer/multimodal-contrastive-learning/main_mlp.py fc680d8d1ece352b |
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| Kernel Conditional Moment Constraints for Confounding Robust Inference |
26 Feb 2023 |
kstoneriv3/confounding-robust-inference-old/kcmc/data_binary.py 7183e20cd75cfd98 |
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MIT (permissive) |
| Kernel Conditional Moment Constraints for Confounding Robust Inference |
26 Feb 2023 |
kstoneriv3/confounding-robust-inference-old/kcmc/data_continuous.py c7f42d4663c6fe4d |
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MIT (permissive) |
| Generalizing Gaussian Smoothing for Random Search |
27 Nov 2022 |
isl-org/generalized-smoothing/LinearRegression/samplers.py 9a08b9c25cf3ff73 |
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MIT (permissive) |
| Deep Isolation Forest for Anomaly Detection |
14 Jun 2022 |
xuhongzuo/deep-iforest/create_scal_data.py ebd0591813c141a1 |
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Apache-2.0 (permissive) |
| Unveiling Transformers with LEGO: a synthetic reasoning task |
9 Jun 2022 |
yizhangzzz/transformers-lego/lego_data.py 20cc1f6911cd7b62 |
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Apache-2.0 (permissive) |
| Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances |
7 Jun 2022 |
rubenohana/pac-bayesian_sliced-wasserstein/evaluate_vmf.py 469a30afba6c9809 |
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| Direct search based on probabilistic descent in reduced spaces |
2022-04 (from id) |
lindonroberts/directsearch/examples/nonconvex_regression.py 54f8d88e68c76d98 |
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| Learning Optimal Test Statistics in the Presence of Nuisance Parameters |
2022-03 (from id) |
lukasheinrich/learning_best_average_power/wald_train.py 381e82d3eb0c4a3b |
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MIT (permissive) |
| On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers |
16 Mar 2022 |
markus93/fit-on-the-test/Experiments_Pseudo/data_generation.py 0e19229d023ae722 |
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MIT (permissive) |
| Adaptive Conformal Predictions for Time Series |
15 Feb 2022 |
mzaffran/adaptiveconformalpredictionstimeseries/generation.py 4960f1aafb7e7eb9 |
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MIT (permissive) |
| Exploiting Independent Instruments: Identification and Distribution Generalization |
3 Feb 2022 |
sorawitj/hsic-x/experiments/distribution_generalization.py b1d93b571231218a |
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| Kernelized Heterogeneous Risk Minimization |
24 Oct 2021 |
ljsthu/kernelized-hrm/KernelHRM_sim1.py 3b4fd708358d370f |
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| Kernelized Heterogeneous Risk Minimization |
24 Oct 2021 |
ljsthu/kernelized-hrm/KernelHRM_sim1.py 08d53c1a25fc4fe1 |
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| On the Surrogate Gap between Contrastive and Supervised Losses |
6 Oct 2021 |
nzw0301/gap-contrastive-and-supervised-losses/code/toy_contrastive.py b8e5ac2c9d6cec4f |
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MIT (permissive) |
| OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems |
3 Aug 2021 |
sisl/OVERTVerify.jl/nnet_files/jmlr/generate_smaller_networks_tora.py b1fd22ccb6c1486b |
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MIT (permissive) |
| Metadata Normalization |
19 Apr 2021 |
mlu355/MetadataNorm/utils.py ebaf3acfda2bdb11 |
unverified |
MIT (permissive) |
| Counterexample-Guided Learning of Monotonic Neural Networks |
16 Jun 2020 |
AishwaryaSivaraman/COMET/src/ModelCalls.py 6d081ded071feb48 |
unverified |
MIT (permissive) |
| Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML |
30 Sep 2019 |
KaidiXu/ZO-minmax/Main_poison_attack.py 4ef4cc5639e0d3c7 |
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| On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method |
26 Jul 2019 |
LinLabNEU/Blackbox_ADMM/test_attack_mnist.py acc00f20a6a4cdc6 |
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| Neural ODEs as the Deep Limit of ResNets with constant weights |
28 Jun 2019 |
BennyAvelin/DeepLimitNeuralODE/Annulus_crossval.py cd9985cdef068208 |
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| Contrastive Variational Autoencoder Enhances Salient Features |
12 Feb 2019 |
abidlabs/contrastive_vae/vae_utils.py 5cd43143265506a1 |
unverified |
MIT (permissive) |
| Structured Adversarial Attack: Towards General Implementation and Better Interpretability |
5 Aug 2018 |
KaidiXu/StrAttack/test_attack_iclr.py 8da19e9d83604707 |
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| AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks |
30 May 2018 |
IBM/Autozoom-Attack/Utils.py f8fb91c06db9efe1 |
unverified |
Apache-2.0 (permissive) |
| GenAttack: Practical Black-box Attacks with Gradient-Free Optimization |
28 May 2018 |
nesl/adversarial_genattack/utils.py bb5e83c39bdec690 |
unverified |
MIT (permissive) |
| ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector |
16 Apr 2018 |
AishrithRao/robust-physical-attack/shapeshifter2d.py 76947627228fb26a |
unverified |
BSD-3-Clause recorded; this copy not marked cleared · pointer only |
| Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation |
10 Apr 2018 |
vitrioil/Speech-Separation/src/analysis/dim_reduce_spectrogram.py 13787efe735dc7b8 |
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MIT (permissive) |
| Attention, Learn to Solve Routing Problems! |
22 Mar 2018 |
Rintarooo/VRP_DRL_MHA/PyTorch/data.py a58fa4a05eb041d8 |
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MIT (permissive) |
| Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives |
21 Feb 2018 |
IBM/Contrastive-Explanation-Method/Utils.py f8fb91c06db9efe1 |
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Apache-2.0 (permissive) |
| EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples |
13 Sep 2017 |
IBM/EAD-Attack/test_attack.py 455253112a78ff1e |
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| ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models |
14 Aug 2017 |
IBM/ZOO-Attack/test_all.py 3abcf522eaf4f685 |
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Apache-2.0 (permissive) |
| Towards Evaluating the Robustness of Neural Networks |
16 Aug 2016 |
Bhushan-Jagtap-2013/Adversarial_Attack_on_RNN/test_attack.py ae7a589f65750d71 |
ran · our draft was wrong
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BSD-2-Clause (permissive) |
| Towards Evaluating the Robustness of Neural Networks |
16 Aug 2016 |
carlini/nn_robust_attacks/test_attack.py 33c3e5273c448151 |
ran · our draft was wrong
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BSD-2-Clause (permissive) |
| Crafting Adversarial Input Sequences for Recurrent Neural Networks |
28 Apr 2016 |
identical code first harvested elsewhere ae7a589f65750d71 |
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licence of this copy not recorded |
| Recurrent Gaussian Processes |
20 Nov 2015 |
zhenwendai/RGP/testing/minibatch_tests.py 813d2048970679c9 |
unverified |
BSD-3-Clause (permissive) |
| Bayesian Online Changepoint Detection |
19 Oct 2007 |
gwgundersen/bocd/bocd.py a3e839f4e90f8279 |
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BSD-3-Clause (permissive) |