CS Technical Reports
The file that you are reading contains the list of our 2026 reports. Links from this list lead to pdf files. Lists of reports from the previous years can be found by clicking on:
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How Are Stradivari Violins Different: A Partial Explanation
Julio C. Urenda, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-26-39 in pdf -
Propagating Uncertainty via Kolmogorov-Arnold Networks
Martine Ceberio, Christoph Lauter, Vladik Kreinovich, Olga Kosheleva, Leobardo Valera, Christian Servin, Jose David Diaz Roman, Boris Jesus Mederos Madrazo, Jose Manuel Mejia Munoz, and Nguyen Hoang Phuong
link to abstract | UTEP-CS-26-38 in pdf -
Intuitionistic Fuzzy Techniques, It from Bit, 10- or 11-Dimensional Quantum Field Theory, and Color Optical Computing
Vladik Kreinovich, Olga Kosheleva, Victor Timchenko, and Yuriy Kondratenko
link to abstract | UTEP-CS-26-37 in pdf -
Jacobian Conjecture: Making Sense of the AI-Assisted Mathematical Discovery
Luisenrique Zepeda-Rodriguez, Vladik Kreinovich, and Nguyen Hoang Phuong
link to abstract | UTEP-CS-26-36 in pdf -
Reducing Overestimation in Interval Neural Networks Using Certified Polynomial Approximations and Partitioning for Trustworthy Clinical AI
Maria L. Reyna-Cruz, Kristalys Ruiz-Rohena, Isaiah D. Johnson, Vladik Kreinovich, Martine Ceberio, and Christoph Lauter
link to abstract | UTEP-CS-26-35 in pdf -
Why Exp-Minus-Log (EML): an explanation based on optimization and symmetry
Vladik Kreinovich, Leobardo Valera, Igor Atamanyuk, and Yuriy Kondratenko
link to abstract | UTEP-CS-26-34 in pdf -
How to Make an Interval Version of Data Envelopment Analysis (DEA) More Adequate
Vladik Kreinovich, Allen J. Cutcher, and Minh-Tho Nguyen
link to abstract | UTEP-CS-26-33 in pdf -
How can we go faster than quark computing: millicharged particles
Olga Kosheleva, Vladik Kreinovich, Victor Timchenko, Yuriy Kondratenko, and Nguyen Hoang Phuong
link to abstract | UTEP-CS-26-32 in pdf -
How to Make Automata Examples and Definitions More Natural: From Explainable AI to Explainable Automata Theory
Ian Bautista Ambriz, Monet Nevarez Sanchez, Christian Servin, Olga Kosheleva, Vladik Kreinovich, and Nguyen Hoang Phuong
link to abstract | UTEP-CS-26-31 in pdf -
An Investigation of Correlations Between In-Game Location and Player Pitch
Vanessa Bolado and Nigel G. Ward
link to abstract | UTEP-CS-26-30 in pdf -
How to decrease LLMs' hallucinations: a proposal
Tatiana Ilina, Martine Ceberio, Marcelo Frias, Christoph Lauter, Vladik Kreinovich, and Nguyen Hoang Phuong
link to abstract | UTEP-CS-26-29 in pdf -
What can mobile devices learn from bird flocks
Olga Kosheleva, Vladik Kreinovich, Victor Timchenko, and Yuriy P. Kondratenko
link to abstract | UTEP-CS-26-28 in pdf -
From the vision of Norbert Wiener to polytope and ellipsoid uncertainty, topological data analysis, topological quantum computing, fuzzy techniques, and color optical computing
Michael Beer, Vladik Kreinovich, Olga Kosheleva, Victor Timchenko, and Yuriy P. Kondratenko
link to abstract | UTEP-CS-26-27 in pdf -
Why color optical computing is efficient -- especially for mobile computing -- and how it is related to physics, to 7 + - 2 law, and to future of computing
Victor Timchenko, Yuriy P. Kondratenko, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-26-26 in pdf -
Which Defuzzification Is the Most Robust?
Fernando Gomide, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-26-25 in pdf -
Uncertainty propagation: how to best deal with p-box uncertainty
Yi Luo, Olga Kosheleva, Vladik Kreinovich, Kittawit Autchariyapanikul
link to abstract | UTEP-CS-26-24 in pdf -
How to adequately describe generic non-Gaussian multi-D distributions: sliced-normal approach and its natural generalization
Michael Beer, Olga Kosheleva, Vladik Kreinovich, and Uyen Hoang Pham
link to abstract | UTEP-CS-26-23 in pdf -
Chaos: what is it? is it good or bad? how to detect it? how to process data and make decisions in the presence of chaos?
Vladik Kreinovich, Uyen Hoang Pham, and Olga Kosheleva
link to abstract | UTEP-CS-26-22 in pdf -
(Generalized) Z-numbers as foundations of type-2 (and other) generalizations of fuzzy sets and as reflections of physical reality -- and how all this can potentially speed up computations
Miroslav Svitek, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-26-21 in pdf -
Toward theoretical foundations of type-2 (and, hopefully, type-n) fuzzy techniques: why they are effective, when they are effective, and what is the most efficient way to use them
Olga Kosheleva, Vladik Kreinovich, Patricia Melin, and Oscar Castillo
link to abstract | UTEP-CS-26-20 in pdf | UTEP-CS-26-20a in pdf -
How to represent and process uncertainty in practical situations: towards a feasible combination of probabilistic, interval, and fuzzy uncertainty
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-26-19 in pdf -
How to gauge the joint effect of probabilistic, interval, and fuzzy uncertainty on the result of data processing
Vladik Kreinovich, Olga Kosheleva, and Nguyen Hoang Phuong
link to abstract | UTEP-CS-26-18 in pdf -
AI Challenges, Future of AI, and Future Beyond AI
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-26-17 in pdf -
How to Compute an Overall Grade for a Class that Has Both Theoretical and Practical Components?
Vignesh Ponraj and Vladik Kreinovich
link to abstract | UTEP-CS-26-16 in pdf -
Kolmorogov-Arnold Networks: Why Piecewise Linear Activation Functions Work Best? Why Only Addition and Multiplication Work Well? Towards a Possible Explanation
Martine Ceberio, Christoph Lauter, Vladik Kreinovich, Olga Kosheleva, Christian Servin, Jose David Diaz Roman, Boris Jesus Mederos Madrazo, and Jose Manuel Mejia Munoz
link to abstract | UTEP-CS-26-15 in pdf | UTEP-CS-26-15a in pdf -
All Modern AI Needs Is Intuitionistic Fuzzy
Vladik Kreinovich, Olga Kosheleva, Victor Timchenko, and Yuriy Kondratenko
link to abstract | UTEP-CS-26-14 in pdf | UTEP-CS-26-14a in pdf -
How to Avoid Unfair Discreteness in Decision Making
Jozo Dujmovic, Vladik Kreinovich, and Olga Kosheleva
link to abstract | UTEP-CS-26-13 in pdf -
Lessons about Science and Life from Lotfi Zadeh
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-26-12 in pdf -
How Bounded Precision in Computing of Weights Affects the AI Computation Results, and What Is the Optimal Allocation of Weight Precisions
Christoph Q. Lauter, Martine Ceberio, Marcelo Frias, Esteban Rangel, Christopher J. Knight, Eric Petit, and Vladik Kreinovich
link to abstract | UTEP-CS-26-11 in pdf -
How Can We Make Reliable Engineering Computing Explainable
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-26-10 in pdf | UTEP-CS-26-10a in pdf -
Every Constructive Countable Partially Ordered Set With No Maximal Elements Can Be Constructively Divided into Disjoint Omega-Chains: Result and Possible Applications
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-26-09 in pdf -
Geometry of Gaudi Arches: Why Parabolic and Catenary Shapes?
Francisco Salazar Mendoza, Braulio Bracamontes, Carlos Gamez, Fernando Sepulveda, and Vladik Kreinovich
link to abstract | UTEP-CS-26-08 in pdf -
Why Dolphins Age Slower in Small Social Groups and Age Faster in Larger Groups: A Possible Explanation Based on Decision Theory
Dang Pham, Javier Molina, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-26-07 in pdf -
Why drop-max is effective in making convolutional neural networks (CNNs) more robust
Min Xian, Olga Kosheleva, Martine Ceberio, and Vladik Kreinovich
link to abstract | UTEP-CS-26-06 in pdf -
Is Constructivism Sufficient for Teaching? Experience of Machine Learning Says "Not Always"
Christian Servin, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-26-05 in pdf -
Efficient First-Approximation Algorithms for Interval-Valued Regression, with Medical Applications in Mind
Maria Lizeth Reyna Cruz, Martine Ceberio, Christoph Q. Lauter, Vladik Kreinovich, and Cecilia Alejandra Marquez Barraza
link to abstract | UTEP-CS-26-04 in pdf -
Is Earth's tilt a resonance?
Luis J. Franco, Andres Soto, Jose R. Chaidez, and Vladik Kreinovich
link to abstract | UTEP-CS-26-03 in pdf -
How to Solve Real-Life Problems: Lessons from Air Force Leadership
Martine Ceberio, Olga Kosheleva, and Vladik Kreinovich
link to abstract | UTEP-CS-26-02 in pdf -
The only award system that prevents cheating is linear
Olga Kosheleva and Vladik Kreinovich
link to abstract | UTEP-CS-26-01 in pdf