Bernhard Schölkopf
- Papers
- 32
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Authored papers
32Bounded Ratio Reinforcement Learning
arXiv 2026
Learning POMDP World Models from Observations with Language-Model Priors
arXiv 2026
Stargazer: A Scalable Model-Fitting Benchmark Environment for AI Agents under Astrophysical Constraints
arXiv 2026
Generalized Interpolating Discrete Diffusion
arXiv 2025
Reparameterized LLM Training via Orthogonal Equivalence Transformation
arXiv 2025
Scaling Behavior of Discrete Diffusion Language Models
arXiv 2025
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
arXiv 2024
A diverse Multilingual News Headlines Dataset from around the World
arXiv 2024
Implicit Personalization in Language Models: A Systematic Study
arXiv 2024
Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
arXiv 2023
CLadder: Assessing Causal Reasoning in Language Models
cladder-a-benchmark-to-assess-causal
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
arXiv 2023
Can Large Language Models Infer Causation from Correlation?
arXiv 2023
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
arXiv 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments
arXiv 2023
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels
arXiv 2023
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good
arXiv 2023
CausalCite: A Causal Formulation of Paper Citations
arXiv 2023
Logical Fallacy Detection
arXiv 2022
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
arXiv 2022
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
arXiv 2022
On the Identifiability and Estimation of Causal Location-Scale Noise Models
arXiv 2022
Discrete Key-Value Bottleneck
arXiv 2022
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
causal-de-finetti-on-the-identification-of
Amortized Inference for Causal Structure Learning
arXiv 2022
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
arXiv 2022
Towards Total Recall in Industrial Anomaly Detection
CVPR 2022 1
Towards Principled Disentanglement for Domain Generalization
CVPR 2022 1
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP
EMNLP 2021 11
Learning Neural Causal Models with Active Interventions
learning-neural-causal-models-with-active-1
Group equivariant neural posterior estimation
group-equivariant-neural-posterior-estimation
A machine learning route between band mapping and band structure
arXiv 2020
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