Enric Boix-Adserà

1. There Will Be a Scientific Theory of Deep Learning
   2026/04/23 by Jamie Simon, Daniel Kunin, Alexander Atanasov +11 · 31 voices · 1 citation
   #stat.ML #cs.LG
2. The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks
   2022/02/17 by Emmanuel Abbé, Enric Boix-Adserà, Abbe, Emmanuel +3 · 15 citations
   Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications #Machine Learning and Algorithms
3. SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
   2023/02/21 by Emmanuel Abbé, Enric Boix-Adserà, Abbe, Emmanuel +3 · 18 citations
   Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
4. When can transformers reason with abstract symbols?
   2023/10/15 by Enric Boix-Adsera, Enric Boix-Adserà, Boix-Adsera, Enric +12 · 1 voice · 4 citations
   Computer Science · #Advanced Text Analysis Techniques #Natural Language Processing Techniques #cs.AI #cs.CL #cs.LG
5. The staircase property: How hierarchical structure can guide deep learning
   2021/08/24 by Emmanuel Abbé, Enric Boix-Adserà, Abbe, Emmanuel +6 · 2 citations
   Computer Science · #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques
6. Toward universal steering and monitoring of AI models
   2025/02/06 by Daniel Beaglehole, Beaglehole, Daniel, Adityanarayanan Radhakrishnan +5 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Natural Language Processing Techniques #Software Engineering Research
7. Towards a theory of model distillation
   2024/03/14 by Enric Boix-Adserà, Boix-Adsera, Enric · 4 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
8. Polynomial-time algorithms for multimarginal optimal transport problems with structure
   2022/08/16 by Jason M. Altschuler, Enric Boix-Adserà · 2 citations
   Computer Science · Engineering · #Complexity and Algorithms in Graphs #Advanced Graph Theory Research #Vehicle Routing Optimization Methods
9. The Average-Case Complexity of Counting Cliques in Erdos-Renyi\n Hypergraphs
   2019/03/19 by Enric Boix-Adserà, Boix-Adserà, Enric, Matthew Brennan +3 · 1 citation
   Materials Science · Computer Science · #Nanocluster Synthesis and Applications #Advanced Graph Neural Networks #Complexity and Algorithms in Graphs
10. Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones
    2025/05/27 by Parsa Mirtaheri, Ezra Edelman, Mirtaheri, Parsa +7 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling