The ZX calculus is incomplete for quantum mechanics. - Christian Schröder de Witt; Vladimir Zamdzhiev (QPL, 2014)

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. - Tabish Rashid; Mikayel Samvelyan; Christian Schröder de Witt; Gregory Farquhar; Jakob N. Foerster; Shimon Whiteson (ICML, 2018)

The StarCraft Multi-Agent Challenge. - Mikayel Samvelyan; Tabish Rashid; Christian Schröder de Witt; Gregory Farquhar; Nantas Nardelli; Tim G. J. Rudner; Chia-Man Hung; Philip H. S. Torr; Jakob N. Foerster; Shimon Whiteson (AAMAS, 2019)

Multi-Agent Common Knowledge Reinforcement Learning. - Christian Schröder de Witt; Jakob N. Foerster; Gregory Farquhar; Philip H. S. Torr; Wendelin Boehmer; Shimon Whiteson (NeurIPS, 2019)

Stratospheric Aerosol Injection as a Deep Reinforcement Learning Problem. - Christian Schröder de Witt; Thomas Hornigold (CoRR, 2019)

Hijacking Malaria Simulators with Probabilistic Programming. - Bradley Gram-Hansen; Christian Schröder de Witt; Tom Rainforth; Philip H. S. Torr; Yee Whye Teh; Atilim Günes Baydin (CoRR, 2019)

Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control. - Christian Schröder de Witt; Bei Peng 001; Pierre-Alexandre Kamienny; Philip H. S. Torr; Wendelin Böhmer; Shimon Whiteson (CoRR, 2020)

Simulation-Based Inference for Global Health Decisions. - Christian Schröder de Witt; Bradley Gram-Hansen; Nantas Nardelli; Andrew Gambardella; Robert Zinkov; Puneet K. Dokania; N. Siddharth 001; Ana Belen Espinosa-Gonzalez; Ara Darzi; Philip H. S. Torr; Atilim Günes Baydin (CoRR, 2020)

AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning. - Shariq Iqbal; Christian A. Schröder de Witt; Bei Peng 001; Wendelin Böhmer; Shimon Whiteson; Fei Sha (CoRR, 2020)

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? - Christian Schröder de Witt; Tarun Gupta 002; Denys Makoviichuk; Viktor Makoviychuk; Philip H. S. Torr; Mingfei Sun 001; Shimon Whiteson (CoRR, 2020)

RainBench: Towards Global Precipitation Forecasting from Satellite Imagery. - Christian Schröder de Witt; Catherine Tong; Valentina Zantedeschi; Daniele De Martini; Freddie Kalaitzis; Matthew Chantry; Duncan Watson-Parris; Piotr Bilinski (CoRR, 2020)

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. - Tabish Rashid; Mikayel Samvelyan; Christian Schröder de Witt; Gregory Farquhar; Jakob N. Foerster; Shimon Whiteson (J. Mach. Learn. Res., 2020)

RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. - Christian Schröder de Witt; Catherine Tong; Valentina Zantedeschi; Daniele De Martini; Alfredo Kalaitzis; Matthew Chantry; Duncan Watson-Parris; Piotr Bilinski (AAAI, 2021)

Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning. - Shariq Iqbal; Christian A. Schröder de Witt; Bei Peng 001; Wendelin Boehmer; Shimon Whiteson; Fei Sha (ICML, 2021)

FACMAC: Factored Multi-Agent Centralised Policy Gradients. - Bei Peng 001; Tabish Rashid; Christian Schröder de Witt; Pierre-Alexandre Kamienny; Philip H. S. Torr; Wendelin Boehmer; Shimon Whiteson (NeurIPS, 2021)

A Self-Supervised Auxiliary Loss for Deep RL in Partially Observable Settings. - Eltayeb Ahmed; Luisa M. Zintgraf; Christian A. Schröder de Witt; Nicolas Usunier (CoRR, 2021)

Implicit Communication as Minimum Entropy Coupling. - Samuel Sokota; Christian Schröder de Witt; Maximilian Igl; Luisa M. Zintgraf; Philip H. S. Torr; Shimon Whiteson; Jakob N. Foerster (CoRR, 2021)

Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS. - Christian Schröder de Witt; Yongchao Huang; Philip H. S. Torr; Martin Strohmeier (CoRR, 2021)

Amortized Rejection Sampling in Universal Probabilistic Programming. - Saeid Naderiparizi; Adam Scibior; Andreas Munk 001; Mehrdad Ghadiri; Atilim Gunes Baydin; Bradley J. Gram-Hansen; Christian A. Schröder de Witt; Robert Zinkov; Philip H. S. Torr; Tom Rainforth; Yee Whye Teh; Frank Wood (AISTATS, 2022)

Mirror Learning: A Unifying Framework of Policy Optimisation. - Jakub Grudzien Kuba; Christian A. Schröder de Witt; Jakob N. Foerster (ICML, 2022)

Model-Free Opponent Shaping. - Christopher Lu 001; Timon Willi; Christian A. Schröder de Witt; Jakob N. Foerster (ICML, 2022)

Generalized Beliefs for Cooperative AI. - Darius Muglich; Luisa M. Zintgraf; Christian A. Schröder de Witt; Shimon Whiteson; Jakob N. Foerster (ICML, 2022)

Communicating via Markov Decision Processes. - Samuel Sokota; Christian A. Schröder de Witt; Maximilian Igl; Luisa M. Zintgraf; Philip H. S. Torr; Martin Strohmeier; J. Zico Kolter; Shimon Whiteson; Jakob N. Foerster (ICML, 2022)

Discovered Policy Optimisation. - Chris Lu 001; Jakub Grudzien Kuba; Alistair Letcher; Luke Metz; Christian Schröder de Witt; Jakob N. Foerster (NeurIPS, 2022)

Equivariant Networks for Zero-Shot Coordination. - Darius Muglich; Christian Schröder de Witt; Elise van der Pol; Shimon Whiteson; Jakob N. Foerster (NeurIPS, 2022)

(Private)-Retroactive Carbon Pricing [(P)ReCaP]: A Market-based Approach for Climate Finance and Risk Assessment. - Yoshua Bengio; Prateek Gupta; Dylan R. Radovic; Maarten Scholl; Andrew Williams; Christian Schröder de Witt; Tianyu Zhang; Yang Zhang (CoRR, 2022)

Biological Evolution and Genetic Algorithms: Exploring the Space of Abstract Tile Self-Assembly. - Christian Schröder de Witt (CoRR, 2022)

Illusionary Attacks on Sequential Decision Makers and Countermeasures. - Tim Franzmeyer; João F. Henriques; Jakob N. Foerster; Philip H. S. Torr; Adel Bibi; Christian Schröder de Witt (CoRR, 2022)

Revealing Robust Oil and Gas Company Macro-Strategies using Deep Multi-Agent Reinforcement Learning. - Dylan R. Radovic; Lucas Kruitwagen; Christian Schröder de Witt; Ben Caldecott; Shane Tomlinson; Mark Workman (CoRR, 2022)

Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning. - Yat Long Lo; Christian Schröder de Witt; Samuel Sokota; Jakob Nicolaus Foerster; Shimon Whiteson (ICLR, 2023)

Perfectly Secure Steganography Using Minimum Entropy Coupling. - Christian Schröder de Witt; Samuel Sokota; J. Zico Kolter; Jakob Nicolaus Foerster; Martin Strohmeier (ICLR, 2023)

JaxMARL: Multi-Agent RL Environments in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; Mikayel Samvelyan; et al. (CoRR, 2023)

Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection. - Linas Nasvytis; Kai Sandbrink; Jakob N. Foerster; Tim Franzmeyer; Christian Schröder de Witt (AAMAS, 2024)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; Mikayel Samvelyan; et al. (AAMAS, 2024)

Illusory Attacks: Information-theoretic detectability matters in adversarial attacks. - Tim Franzmeyer; Stephen Marcus McAleer; João F. Henriques; Jakob Nicolaus Foerster; Philip Torr 001; Adel Bibi; Christian Schröder de Witt (ICLR, 2024)

Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. - Francisco Eiras; Aleksandar Petrov; Bertie Vidgen; Christian Schröder de Witt; Fabio Pizzati; Katherine Elkins; Supratik Mukhopadhyay; Adel Bibi; Botos Csaba; Fabro Steibel; Fazl Barez; Genevieve Smith; et al. (ICML, 2024)

Bayesian Exploration Networks. - Mattie Fellows; Brandon Kaplowitz; Christian Schröder de Witt; Shimon Whiteson (ICML, 2024)

Unelicitable Backdoors via Cryptographic Transformer Circuits. - Andis Draguns; Andrew Gritsevskiy; Sumeet Ramesh Motwani; Christian Schröder de Witt (NeurIPS, 2024)

Secret Collusion among AI Agents: Multi-Agent Deception via Steganography. - Sumeet Ramesh Motwani; Mikhail Baranchuk; Martin Strohmeier; Vijay Bolina; Philip Torr 001; Lewis Hammond; Christian Schröder de Witt (NeurIPS, 2024)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX. - Alexander Rutherford; Benjamin Ellis; Matteo Gallici; Jonathan Cook 004; Andrei Lupu; Garðar Ingvarsson; Timon Willi; Ravi Hammond; Akbir Khan; Christian Schröder de Witt; Alexandra Souly; Saptarashmi Bandyopadhyay; et al. (NeurIPS, 2024)

Computing Low-Entropy Couplings for Large-Support Distributions. - Samuel Sokota; Dylan Sam; Christian Schröder de Witt; Spencer Compton; Jakob N. Foerster; J. Zico Kolter (UAI, 2024)

The Danger Of Arrogance: Welfare Equilibra As A Solution To Stackelberg Self-Play In Non-Coincidental Games. - Jake Levi; Chris Lu 001; Timon Willi; Christian Schröder de Witt; Jakob N. Foerster (CoRR, 2024)

Secret Collusion Among Generative AI Agents. - Sumeet Ramesh Motwani; Mikhail Baranchuk; Martin Strohmeier; Vijay Bolina; Philip H. S. Torr; Lewis Hammond; Christian Schröder de Witt (CoRR, 2024)

Near to Mid-term Risks and Opportunities of Open Source Generative AI. - Francisco Eiras; Aleksandar Petrov; Bertie Vidgen; Christian Schröder de Witt; Fabio Pizzati; Katherine Elkins; Supratik Mukhopadhyay; Adel Bibi; Botos Csaba; Fabro Steibel; Fazl Barez; Genevieve Smith; et al. (CoRR, 2024)

Risks and Opportunities of Open-Source Generative AI. - Francisco Eiras; Aleksandar Petrov; Bertie Vidgen; Christian Schröder de Witt; Fabio Pizzati; Katherine Elkins; Supratik Mukhopadhyay; Adel Bibi; Aaron Purewal; Botos Csaba; Fabro Steibel; Fazel Keshtkar; et al. (CoRR, 2024)

Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits. - Andis Draguns; Andrew Gritsevskiy; Sumeet Ramesh Motwani; Charlie Rogers-Smith; Jeffrey Ladish; Christian Schröder de Witt (CoRR, 2024)

IDs for AI Systems. - Alan Chan; Noam Kolt; Peter Wills; Usman Anwar; Christian Schröder de Witt; Nitarshan Rajkumar; Lewis Hammond; David Krueger 001; Lennart Heim; Markus Anderljung (CoRR, 2024)

Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs. - Yohan Mathew; Ollie Matthews; Robert McCarthy; Joan Velja; Christian Schröder de Witt; Dylan Cope; Nandi Schoots (CoRR, 2024)

Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap. - Georgia Channing; Juil Sock; Ronald Clark; Philip Torr 001; Christian Schröder de Witt (CoRR, 2024)

SAGE: Scalable Ground Truth Evaluations for Large Sparse Autoencoders. - Constantin Venhoff; Anisoara Calinescu; Philip Torr 001; Christian Schröder de Witt (CoRR, 2024)

MAD-Sherlock: Multi-Agent Debates for Out-of-Context Misinformation Detection. - Kumud Lakara; Juil Sock; Christian Rupprecht 001; Philip Torr 001; John P. Collomosse; Christian Schröder de Witt (CoRR, 2024)

Comparative Global AI Regulation: Policy Perspectives from the EU, China, and the US. - Jon Chun; Christian Schröder de Witt; Katherine Elkins (CoRR, 2024)

Delta-Influence: Unlearning Poisons via Influence Functions. - Wenjie Li; Jiawei Li; Christian Schröder de Witt; Ameya Prabhu; Amartya Sanyal (CoRR, 2024)

MALT: Improving Reasoning with Multi-Agent LLM Training. - Sumeet Ramesh Motwani; Chandler Smith; Rocktim Jyoti Das; Markian Rybchuk; Philip H. S. Torr; Ivan Laptev; Fabio Pizzati; Ronald Clark; Christian Schröder de Witt (CoRR, 2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models. - Usman Anwar; Abulhair Saparov; Javier Rando; Daniel Paleka; Miles Turpin; Peter Hase; Ekdeep Singh Lubana; Erik Jenner; Stephen Casper; Oliver Sourbut; Benjamin L. Edelman; Zhaowei Zhang; et al. (Trans. Mach. Learn. Res., 2024)

Multi-Agent Security Tax: Trading Off Security and Collaboration Capabilities in Multi-Agent Systems. - Pierre Peigné; Mikolaj Kniejski; Filip Sondej; Matthieu David; Jason Hoelscher-Obermaier; Christian Schröder de Witt; Esben Kran (AAAI, 2025)

Efficient Dictionary Learning with Switch Sparse Autoencoders. - Anish Mudide; Joshua Engels; Eric J. Michaud; Max Tegmark; Christian Schröder de Witt (ICLR, 2025)

Humanity's Last Exam. - Long Phan; Alice Gatti; Ziwen Han; Nathaniel Li; Josephina Hu; Hugh Zhang; Sean Shi; Michael Choi; Anish Agrawal; Arnav Chopra; Adam Khoja; Ryan Kim; et al. (CoRR, 2025)

PSyDUCK: Training-Free Steganography for Latent Diffusion. - Georgia Channing; Aqib Mahfuz; Mark van der Wilk; Philip Torr 001; Fabio Pizzati; Christian Schröder de Witt (CoRR, 2025)

Multi-Agent Risks from Advanced AI. - Lewis Hammond; Alan Chan; Jesse Clifton; Jason Hoelscher-Obermaier; Akbir Khan; Euan McLean; Chandler Smith; Wolfram Barfuss; Jakob N. Foerster; Tomas Gavenciak; The Anh Han; Edward Hughes 001; et al. (CoRR, 2025)

Fundamental Limitations in Defending LLM Finetuning APIs. - Xander Davies; Eric Winsor; Tomek Korbak; Alexandra Souly; Robert Kirk; Christian Schröder de Witt; Yarin Gal (CoRR, 2025)

AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction. - Magnus Sesodia; Alina Petrova; John Armour; Thomas Lukasiewicz; Oana-Maria Camburu; Puneet K. Dokania; Philip Torr 001; Christian Schröder de Witt (CoRR, 2025)

Mixture of Experts Made Intrinsically Interpretable. - Xingyi Yang; Constantin Venhoff; Ashkan Khakzar; Christian Schröder de Witt; Puneet K. Dokania; Adel Bibi; Philip Torr 001 (CoRR, 2025)

Fact-Checking with Contextual Narratives: Leveraging Retrieval-Augmented LLMs for Social Media Analysis. - Arka Ujjal Dey; Muhammad Junaid Awan; Georgia Channing; Christian Schröder de Witt; John P. Collomosse (CoRR, 2025)

REAL: Benchmarking Autonomous Agents on Deterministic Simulations of Real Websites. - Divyansh Garg; Shaun VanWeelden; Diego Caples; Andis Draguns; Nikil Ravi; Pranav Putta; Naman Garg; Tomas Abraham; Michael Lara; Federico Lopez; James Liu; Atharva Gundawar; et al. (CoRR, 2025)

Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents. - Christian Schröder de Witt (CoRR, 2025)

Mitigating Goal Misgeneralization via Minimax Regret. - Karim Abdel Sadek; Matthew Farrugia-Roberts; Usman Anwar; Hannah Erlebach; Christian A. Schröder de Witt; David Krueger 001; Michael Dennis 001 (CoRR, 2025)

Extending the OWASP Multi-Agentic System Threat Modeling Guide: Insights from Multi-Agent Security Research. - Klaudia Krawiecka; Christian Schröder de Witt (CoRR, 2025)