Arno Blaas - RankMe

33 papers A* 6A 1Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GenCtrl - A Formal Controllability Toolkit for Generative Models. CoRR Emily Cheng, Carmen Amo Alonso, Federico Danieli, Arno Blaas, Luca Zappella, Pau Rodríguez, Xavier Suau
2026	J	`jnl`	Sparse Autoencoders are Capable LLM Jailbreak Mitigators. CoRR Yannick Assogba, Jacopo Cortellazzi, Javier Abad, Pau Rodríguez, Xavier Suau, Arno Blaas
2026	J	`jnl`	The Design Space of Tri-Modal Masked Diffusion Models. CoRR Louis Béthune, Victor Turrisi, Bruno Kacper Mlodozeniec, Pau Rodríguez López, Lokesh Boominathan, Nikhil Bhendawade, Amitis Shidani, Joris Pelemans, Theo X. Olausson, R. Devon Hjelm, Paul Dixon, João Monteiro, Pierre Ablin, Vishnu Banna, Arno Blaas, Nick Henderson, Kari Noriy, Dan Busbridge, Joshua M. Susskind, Marco Cuturi, Irina Belousova, Luca Zappella, Russ Webb, Jason Ramapuram
2025	A*	`conf`	Controlling Language and Diffusion Models by Transporting Activations. ICLR Pau Rodríguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau
2025	J	`jnl`	End-to-end Learning of Sparse Interventions on Activations to Steer Generation. CoRR Pau Rodríguez, Michal Klein, Eleonora Gualdoni, Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau
2025	A*	`ed.`	Proceedings on "I Can't Believe It's Not Better: Challenges in Applied Deep Learning" at ICLR 2025 Workshops, 28 April 2025, Singapore ICLR Arno Blaas, Priya D'Costa, Fan Feng, Andreas Kriegler, Ian Mason, Zhaoying Pan, Tobias Uelwer, Jennifer Williams, Yubin Xie, Rui Yang
2025	—	`conf`	Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results. ACL (2) Andrea Santilli, Adam Golinski, Michael Kirchhof, Federico Danieli, Arno Blaas, Miao Xiong, Luca Zappella, Sinead Williamson
2025	J	`jnl`	Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results. CoRR Andrea Santilli, Adam Golinski, Michael Kirchhof, Federico Danieli, Arno Blaas, Miao Xiong, Luca Zappella, Sinead Williamson
2025	J	`jnl`	Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution? CoRR Michael Kirchhof, Luca Füger, Adam Golinski, Eeshan Gunesh Dhekane, Arno Blaas, Sinead Williamson
2024	J	`jnl`	Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare. CoRR Arno Blaas, Adam Golinski, Andrew C. Miller, Luca Zappella, Jörn-Henrik Jacobsen, Christina Heinze-Deml
2024	J	`jnl`	Controlling Language and Diffusion Models by Transporting Activations. CoRR Pau Rodríguez López, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau
2024	J	`jnl`	Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts. Trans. Mach. Learn. Res. Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas
2023	A*	`conf`	DUET: 2D Structured and Approximately Equivariant Representations. ICML Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023	J	`jnl`	DUET: 2D Structured and Approximately Equivariant Representations. CoRR Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023	—	`ed.`	Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 16 December 2023, New Orleans, Louisiana, USA. ICBINB Javier Antorán, Arno Blaas, Kelly Buchanan, Fan Feng, Vincent Fortuin, Sahra Ghalebikesabi, Andreas Kriegler, Ian Mason, David Rohde, Francisco J. R. Ruiz, Tobias Uelwer, Yubin Xie, Rui Yang
2023	J	`jnl`	Robust multimodal models have outlier features and encode more concepts. CoRR Jonathan Crabbé, Pau Rodríguez, Vaishaal Shankar, Luca Zappella, Arno Blaas
2023	A*	`conf`	The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. ICML Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023	J	`jnl`	The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning. CoRR Borja Rodríguez Gálvez, Arno Blaas, Pau Rodríguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella
2022	J	`jnl`	Adversarial Robustness Guarantees for Gaussian Processes. J. Mach. Learn. Res. Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen Roberts, Marta Kwiatkowska
2022	—	`ed.`	Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA ICBINB Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein
2021	J	`jnl`	Adversarial Attacks on Graph Classification via Bayesian Optimisation. CoRR Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong
2021	A*	`conf`	Adversarial Attacks on Graph Classifiers via Bayesian Optimisation. NeurIPS Xingchen Wan, Henry Kenlay, Robin Ru, Arno Blaas, Michael A. Osborne, Xiaowen Dong
2021	J	`jnl`	Adversarial Robustness Guarantees for Gaussian Processes. CoRR Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen J. Roberts, Marta Kwiatkowska
2021	—	`conf`	Challenges of Adversarial Image Augmentations. ICBINB@NeurIPS Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
2021	J	`jnl`	Challenges of Adversarial Image Augmentations. CoRR Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella
2021	J	`jnl`	On Invariance Penalties for Risk Minimization. CoRR Kia Khezeli, Arno Blaas, Frank Soboczenski, Nicholas Chia, John Kalantari
2021	—	`conf`	Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data. LifeTech Samuel Budd, Arno Blaas, Adrienne Hoarfrost, Kia Khezeli, Krittika D'Silva, Frank Soboczenski, Graham Mackintosh, Nicholas Chia, John Kalantari
2021	J	`jnl`	The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks. CoRR Arno Blaas, Stephen J. Roberts
2020	A	`conf`	Adversarial Robustness Guarantees for Classification with Gaussian Processes. AISTATS Arno Blaas, Andrea Patane, Luca Laurenti, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts
2020	A*	`conf`	BayesOpt Adversarial Attack. ICLR Binxin Ru, Adam D. Cobb, Arno Blaas, Yarin Gal
2019	—	`conf`	Localised Kinky Inference. ECC Arno Blaas, José María Manzano, Daniel Limón, Jan Calliess
2019	J	`jnl`	Robustness Quantification for Classification with Gaussian Processes. CoRR Arno Blaas, Luca Laurenti, Andrea Patane, Luca Cardelli, Marta Kwiatkowska, Stephen J. Roberts
2018	—	`conf`	Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC. SUM Arno Blaas, Adam D. Cobb, Jan-Peter Calliess, Stephen J. Roberts