Martin Kukla

Researcher, ByteDance

Joined

January 2019

Names

Martin Kukla (Preferred)

Emails

****@microsoft.com (Confirmed)

,

****@bytedance.com (Confirmed)

,

****@cantab.net (Confirmed)

Personal Links

Career & Education History

Researcher

ByteDance (bytedance.com)

2022 – Present

Researcher

Research, Microsoft (research.microsoft.com)

2015 – 2022

MS student

University of Cambridge (cam.ac.uk)

2014 – 2015

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Nick Pawlowski, Agrin Hilmkil, Joel Jennings, Meyer Scetbon, Miltiadis Allamanis, Cheng Zhang
- Accepted by TMLR
- Readers: Everyone
Deep End-to-end Causal Inference
Tomas Geffner, Javier Antoran, Adam Foster, Wenbo Gong, Chao Ma, Emre Kiciman, Amit Sharma, Angus Lamb, Martin Kukla, Agrin Hilmkil, Joel Jennings, Nick Pawlowski, Miltiadis Allamanis, Cheng Zhang
- 03 Oct 2022 (modified: 08 Feb 2026)
- CML4Impact
- Readers: Everyone
FCause: Flow-based Causal Discovery
Tomas Geffner, Emre Kiciman, Angus Lamb, Martin Kukla, Miltiadis Allamanis, Cheng Zhang
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Submitted
- Readers: Everyone
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Hippolyt Ritter, Martin Kukla, Cheng Zhang, Yingzhen Li
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
Sparse Uncertainty Representation in Deep Learning with Inducing Weights
Hippolyt Ritter, Martin Kukla, Cheng Zhang, Yingzhen Li
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone

Co-Authors