Barkeshli, Maissam

1. Why Warmup the Learning Rate? Underlying Mechanisms and Improvements
   2024/06/13 by Kalra, Dayal Singh, Barkeshli, Maissam · 14 citations
   #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Learning Pseudorandom Numbers with Transformers: Permuted Congruential Generators, Curricula, and Interpretability
   2025/10/30 by Tao Tao, Tao, Tao, Maissam Barkeshli +1 · 5 voices
   #cs.LG #cond-mat.dis-nn #cs.CR
3. Transitions Between Chiral Spin Liquids and Z2 Spin Liquids
   2013/07/31 by Maissam Barkeshli, Barkeshli, Maissam · 2 citations
   Physics and Astronomy · #Advanced Condensed Matter Physics #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Quantum many-body systems #Strongly Correlated Electrons (cond-mat.str-el) #Topological Materials and Phenomena
4. Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width
   2023/02/23 by Dayal Singh Kalra, Maissam Barkeshli, Kalra, Dayal Singh +1 · 3 citations
   Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and ELM #Neural Networks and Applications
5. Universal Sharpness Dynamics in Neural Network Training: Fixed Point Analysis, Edge of Stability, and Route to Chaos
   2023/11/03 by Kalra, Dayal Singh, He, Tianyu, Barkeshli, Maissam · 3 citations
   #Chaotic Dynamics (nlin.CD) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Disclinations, dislocations, and emanant flux at Dirac criticality
   2025/01/23 by Maissam Barkeshli, Christopher Fechisin, Barkeshli, Maissam +5 · 5 citations
   Mathematics · Physics and Astronomy · #Black Holes and Theoretical Physics #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Numerical methods for differential equations #Quantum Chromodynamics and Particle Interactions #Strongly Correlated Electrons (cond-mat.str-el)
7. Crystalline invariants of fractional Chern insulators
   2024/05/27 by Kobayashi, Ryohei, Zhang, Yuxuan, Manjunath, Naren +1 · 3 citations
   #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum Physics (quant-ph) #Strongly Correlated Electrons (cond-mat.str-el)
8. On stability of k-local quantum phases of matter
   2024/05/29 by Lavasani, Ali, Gullans, Michael J., Albert, Victor V. +1 · 2 citations
   #FOS: Physical sciences #Mathematical Physics (math-ph) #Quantum Physics (quant-ph) #Statistical Mechanics (cond-mat.stat-mech) #Strongly Correlated Electrons (cond-mat.str-el)
9. Soft symmetries of topological orders
   2025/01/06 by Kobayashi, Ryohei, Barkeshli, Maissam · 1 citation
   #FOS: Mathematics #FOS: Physical sciences #High Energy Physics - Theory (hep-th) #Quantum Algebra (math.QA) #Quantum Physics (quant-ph) #Strongly Correlated Electrons (cond-mat.str-el)