دنبال کردن
Julius von Kügelgen
Julius von Kügelgen
ETH Zürich
ایمیل تأیید شده در stat.math.ethz.ch - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style‏
J von Kügelgen*, Y Sharma*, L Gresele*, W Brendel, B Schölkopf, ...‏
NeurIPS, 2021‏
3332021
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach‏
AH Karimi*, J von Kügelgen*, B Schölkopf, I Valera‏
NeurIPS, 2020‏
1952020
Independent mechanism analysis, a new concept?‏
L Gresele*, J von Kügelgen*, V Stimper, B Schölkopf, M Besserve‏
NeurIPS, 2021‏
1032021
On the Fairness of Causal Algorithmic Recourse‏
J von Kügelgen, AH Karimi, U Bhatt, I Valera, A Weller, B Schölkopf‏
AAAI, 2022‏
952022
Towards Causal Algorithmic Recourse‏
AH Karimi*, J von Kügelgen*, B Schölkopf, I Valera‏
Lecture Notes in Computer Science 13200 (xxAI - Beyond Explainable AI), 139–166, 2022‏
84*2022
Visual representation learning does not generalize strongly within the same domain‏
L Schott, J von Kügelgen, F Träuble, P Gehler, C Russell, M Bethge, ...‏
ICLR, 2022‏
792022
Probable Domain Generalization via Quantile Risk Minimization‏
C Eastwood, A Robey, S Singh, J von Kügelgen, H Hassani, GJ Pappas, ...‏
NeurIPS, 2022‏
722022
Complex interlinkages, key objectives, and nexuses among the Sustainable Development Goals and climate change: a network analysis‏
F Laumann, J von Kügelgen, TH Kanashiro Uehara, M Barahona‏
The Lancet Planetary Health 6 (5), e422-e430, 2022‏
702022
Nonparametric Identifiability of Causal Representations from Unknown Interventions‏
J von Kügelgen, M Besserve, W Liang, L Gresele, A Kekić, E Bareinboim, ...‏
NeurIPS, 2023‏
622023
From Statistical to Causal Learning‏
B Schölkopf*, J von Kügelgen*‏
Proceedings of the International Congress of Mathematicians 7, 5540–5593, 2022‏
58*2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis‏
R Perry, J von Kügelgen*, B Schölkopf*‏
NeurIPS, 2022‏
532022
Simpson's paradox in Covid-19 case fatality rates: a mediation analysis of age-related causal effects‏
J von Kügelgen*, L Gresele*, B Schölkopf‏
IEEE Transactions on Artificial Intelligence 2 (1), 18-27, 2021‏
512021
Towards causal generative scene models via competition of experts‏
J von Kügelgen*, I Ustyuzhaninov*, P Gehler, M Bethge, B Schölkopf‏
ICLR Workshop Causal Learning for Decision Making, 2020‏
432020
Provably Learning Object-Centric Representations‏
J Brady, RS Zimmermann, Y Sharma, B Schölkopf, J von Kügelgen, ...‏
ICML, 2023‏
422023
Causal Component Analysis‏
L Wendong, A Kekić, J von Kügelgen, S Buchholz, M Besserve, L Gresele, ...‏
NeurIPS, 2023‏
422023
A bacterial size law revealed by a coarse-grained model of cell physiology‏
F Bertaux, J von Kügelgen, S Marguerat, V Shahrezaei‏
PLoS Computational Biology 16 (9), e1008245, 2020‏
42*2020
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction‏
O Makansi, J von Kügelgen, F Locatello, P Gehler, D Janzing, T Brox, ...‏
ICLR, 2022‏
412022
Active Bayesian Causal Inference‏
C Toth, L Lorch, C Knoll, A Krause, F Pernkopf, R Peharz*, ...‏
NeurIPS, 2022‏
392022
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP‏
Z Jin*, J von Kügelgen*, J Ni, T Vaidhya, A Kaushal, M Sachan, ...‏
EMNLP, 2021‏
382021
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks‏
J von Kügelgen, PK Rubenstein, B Schölkopf, A Weller‏
NeurIPS Workshop “Do the right thing”: machine learning and causal inference …, 2019‏
382019
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20