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from 1st order to online saddle-free 2nd order",[1002],"2019-06-06",{"title":1107,"authors":1108,"date":1110,"kind":61,"additional_data":62},"Generowanie zdjęć o wysokiej rozdzielczości",[1109],"Łukasz Struski, Jacek Tabor, Bartosz Zieliński","2019-05-31",{"title":1112,"authors":1113,"date":1115,"kind":68,"additional_data":62},"Dynamika zmian sieci neuronalnych mózgu",[1114],"Tadeusz Marek","2019-05-30",{"title":1117,"authors":1118,"date":1119,"kind":61,"additional_data":62},"Stan & Stan & The Hessian",[765],"2019-05-24",{"title":1121,"authors":1122,"date":1124,"kind":68,"additional_data":62},"Autoenkoder grafowy oparty o entropię",[1123],"Mateusz Malik","2019-05-23",{"title":1126,"authors":1127,"date":1129,"kind":61,"additional_data":62},"Pole wektorowe rekonstrukcji",[1128],"Mateusz Juda","2019-05-17",{"title":1131,"authors":1132,"date":1134,"kind":68,"additional_data":62},"Deep k-Nearest Neighbors",[1133],"Tomasz Krzyżek","2019-05-16",{"title":1136,"authors":1137,"date":1139,"kind":68,"additional_data":62},"Deep learning w medycynie",[1138],"Jan Witowski","2019-05-09",{"title":1141,"authors":1142,"date":1144,"kind":68,"additional_data":62},"Probabilistic U-Net",[1143],"Adam Piekarczyk","2019-04-25",{"title":1146,"authors":1147,"date":1149,"kind":61,"additional_data":62},"Analiza Sentymentu",[1148],"Krzysztof Rajda","2019-04-05",{"title":1151,"authors":1152,"date":1153,"kind":68,"additional_data":62},"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation",[326],"2019-04-04",{"title":1155,"authors":1156,"date":1158,"kind":61,"additional_data":62},"Metody SGD Drugiego Rzędu",[1157],"Jarosław Duda, Stanisław Jastrzębski","2019-03-29",{"title":1160,"authors":1161,"date":1162,"kind":68,"additional_data":62},"Graph Convolutional Neural Networks",[407],"2019-03-28",{"title":1160,"authors":1164,"date":1166,"kind":61,"additional_data":62},[1165],"Łukasz Maziarka, Agnieszka Słowik","2019-03-22",{"title":1168,"authors":1169,"date":1170,"kind":68,"additional_data":62},"PhD Defense (open to the public)",[765],"2019-03-21",{"title":1172,"authors":1173,"date":1175,"kind":61,"additional_data":62},"Przegląd wybranych modeli do śledzenia obiektów (object tracking)",[1174],"Agnieszka Pocha, Krzysztof Misztal","2019-03-15",{"title":1177,"authors":1178,"date":1180,"kind":68,"additional_data":62},"Badania akustyczne nocnych ptasich wędrówek: wykorzystanie metod automatycznych do detekcji głosów",[1179],"Hanna Pamuła","2019-03-14",{"title":1182,"authors":1183,"date":1184,"kind":61,"additional_data":62},"Flow-Based Generative Models",[883],"2019-03-08",{"title":1186,"authors":1187,"date":1188,"kind":68,"additional_data":62},"Wypełnianie brakujących fragmentów obrazów z wykorzystaniem sieci GAN",[707],"2019-03-07",{"title":1190,"authors":1191,"date":1192,"kind":61,"additional_data":62},"Geometry Latent II",[156],"2019-03-01",{"title":1194,"authors":1195,"date":1197,"kind":68,"additional_data":62},"Semester Summary",[1196],"","2019-02-28",{"title":1199,"authors":1200,"date":1202,"kind":68,"additional_data":62},"Hypery II",[1201],"Ł. 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Klocek, Ł. Maziarka, J. Tabor","2018-11-16",{"title":1269,"authors":1270,"date":1272,"kind":68,"additional_data":62},"Zwodnicze przykłady (ang. adversarial examples) dla sieci neuronowych",[1271],"Paweł Morawiecki (Instytut Podstaw Informatyki PAN)","2018-11-15",{"title":1274,"authors":1275,"date":1277,"kind":61,"additional_data":62},"Głębokie przetwarzanie danych strukturalnych (zbiory, grafy, etc.)",[1276],"J. Tabor, M. Śmieja, Ł. Maziarka, A. Nowak","2018-11-09",{"title":1279,"authors":1280,"date":1281,"kind":68,"additional_data":62},"Semi-supervised deep generative model",[1007],"2018-11-08",{"title":1283,"authors":1284,"date":1285,"kind":61,"additional_data":62},"Początkowa faza trenowania sieci neuronowych",[765],"2018-10-26",{"title":1287,"authors":1288,"date":1289,"kind":68,"additional_data":62},"Wstęp do domain adaptation",[883],"2018-10-25",{"title":1291,"authors":1292,"date":1293,"kind":61,"additional_data":62},"Cramer-Wold AutoEncoder",[156],"2018-10-19",{"title":1295,"authors":1296,"date":1298,"kind":68,"additional_data":62},"Algorytm odwracania odwzorowań wielomianowych i efektywne obliczenia w algebrze symbolicznej",[1297],"Paweł Bogdan","2018-10-18",{"title":1300,"authors":1301,"date":1303,"kind":61,"additional_data":62},"Glow - a flow-based generative model",[1302],"Michał Zając","2018-10-12",{"title":1305,"authors":1306,"date":1308,"kind":68,"additional_data":62},"Przemysłowe zastosowanie predykcji defektów oprogramowania wykorzystującej uczenie maszynowe",[1307],"Jarosław Hryszko","2018-10-11",{"title":1310,"authors":1311,"date":1312,"kind":68,"additional_data":62},"Estimating joint distribution with polynomial for example for time series prediction",[1002],"2018-10-04",{"title":1314,"authors":1315,"date":1316,"kind":68,"additional_data":62},"Projekty badawcze GMUM - przegląd",[156],"2018-06-14",{"title":1318,"authors":1319,"date":1321,"kind":68,"additional_data":62},"Połączenie cyklostacjonarności, funkcjonalnej analizy danych i sygnałów",[1320],"Jacek Leśkow (PK)","2018-06-07",{"title":1323,"authors":1324,"date":1326,"kind":68,"additional_data":62},"Learning binary local feature descriptors - their evolution and application in SLAM",[1325],"Tomasz Trzciński (UW)","2018-05-24",{"title":1328,"authors":1329,"date":1332,"kind":68,"additional_data":62},"Risk Problems and ML applications within a Bank",[1330,1331],"Jaromir Dziula","Bartłomiej Szpak (HSBC)","2018-05-17",{"title":1334,"authors":1335,"date":1336,"kind":68,"additional_data":62},"Generative Autoencoders",[326],"2018-05-10",{"title":1338,"authors":1339,"date":1340,"kind":68,"additional_data":62},"Geometry of latent space",[156],"2018-04-19",{"title":1342,"authors":1343,"date":1345,"kind":68,"additional_data":62},"Visual pattern discovery by deep learning for the extraction of building characteristics",[1344],"Matthias Zeppelzauer (St. Pölten University)","2018-04-12",{"title":1347,"authors":1348,"date":1350,"kind":68,"additional_data":62},"Missing data for Neural Networks",[156,219,1349],"Łukasz Struski","2018-04-05",{"title":1352,"authors":1353,"date":1355,"kind":61,"additional_data":62},"Latent Space Oddity #2",[1354],"J. Tabor, I. Podolak, Ł. 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Śmieja, Ł. Struski, P. Spurek","2018-01-26",{"title":1409,"authors":1410,"date":1412,"kind":68,"additional_data":62},"Some nonstandard approaches to hard computational problems",[1411],"Jarek Duda","2018-01-25",{"title":1414,"authors":1415,"date":1416,"kind":61,"additional_data":62},"Identifying and attacking the saddle point problem",[785],"2018-01-19",{"title":1418,"authors":1419,"date":1421,"kind":68,"additional_data":62},"A few papers on question answering",[1420],"Oleksandr Zakharchuk","2018-01-18",{"title":1423,"authors":1424,"date":1426,"kind":61,"additional_data":62},"Pixel Recurrent Neural Networks",[1425],"Krzysztof Hajto","2018-01-12",{"title":1428,"authors":1429,"date":1431,"kind":68,"additional_data":62},"A new approach for density-based clustering",[1430],"Magdalena Wiercioch","2018-01-11",{"title":1433,"authors":1434,"date":1436,"kind":61,"additional_data":62},"Semantic Image Inpainting With Deep Generative Models",[1435],"Piotr Kowenzowski","2018-01-05",{"title":1438,"authors":1439,"date":1441,"kind":68,"additional_data":62},"Teoria Baz Grobnera",[1440],"Barbara Ciesielska","2018-01-04",{"title":1443,"authors":1444,"date":1445,"kind":61,"additional_data":62},"Distance Covariance Coefficient",[407],"2017-12-15",{"title":1447,"authors":1448,"date":1449,"kind":68,"additional_data":62},"Sieci Neuronowe Zoptymalizowane Pod Urządzenia Mobilne",[883],"2017-12-14",{"title":1451,"authors":1452,"date":1453,"kind":61,"additional_data":62},"Limitations and Problems of Deep Learning",[765],"2017-12-08",{"title":1455,"authors":1456,"date":1457,"kind":68,"additional_data":62},"Understanding How Deep Networks Learn",[765],"2017-12-07",{"title":1459,"authors":1460,"date":1462,"kind":61,"additional_data":62},"Intro to Variational AutoEncoders",[1461],"Damian Leśniak & Igor Sieradzki","2017-12-01",{"title":1464,"authors":1465,"date":1467,"kind":68,"additional_data":62},"Using omics data in deep learning",[1466],"Oleksandr Myronov","2017-11-30",{"title":1469,"authors":1470,"date":1471,"kind":61,"additional_data":62},"IVA - Independent Vector Analysis",[436],"2017-11-24",{"title":1473,"authors":1474,"date":1479,"kind":68,"additional_data":62},"Algorytmy uczenia maszynowego do adaptacji miejsca wykonywania zadań w środowisku mobilnej chmury obliczeniowej",[1475,1476,1477,1478],"B. Śnieżyński (AGH)","P. Nawrocki (AGH)","J. Tabor","K. Misztal","2017-11-23",{"title":1481,"authors":1482,"date":1484,"kind":61,"additional_data":62},"Selected Topics from Deep Learning by Bengio & Goodfellow, part 1.5",[1483],"DL@UJ","2017-11-17",{"title":1486,"authors":1487,"date":1488,"kind":68,"additional_data":62},"Tematy na Preludium14",[1049,445],"2017-11-16",{"title":1490,"authors":1491,"date":1492,"kind":61,"additional_data":62},"Selected Topics from Deep Learning by Bengio & Goodfellow, part 1",[1483],"2017-11-10",{"title":1494,"authors":1495,"date":1496,"kind":68,"additional_data":62},"Nauczanie Bayesowskie",[1466],"2017-11-09",{"title":1498,"authors":1499,"date":1500,"kind":61,"additional_data":62},"Moment invariants for multi-component shapes with applications to leaf classification",[1396],"2017-10-27",{"title":1502,"authors":1503,"date":1505,"kind":68,"additional_data":62},"Representation Learning in Textual Entailment Prediction",[1504],"Kuba Chłędowski","2017-10-26",{"title":1507,"authors":1508,"date":1510,"kind":61,"additional_data":62},"Leave-one-out SVM",[1509],"Piotr Kowenzowki","2017-10-20",{"title":1512,"authors":1513,"date":1515,"kind":68,"additional_data":62},"Context Encoders, Feature Learning by Impainting",[1514,1349,219],"Bartosz Zieliński","2017-10-19",{"title":1517,"authors":1518,"date":1520,"kind":61,"additional_data":62},"Klastrowanie z ICML17",[1519],"dr. 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Techniki radzenia sobie z missing data",[1425],"2017-06-08",{"title":1547,"authors":1548,"date":1549,"kind":68,"additional_data":62},"Wyszukiwanie anomalii w procesach biznesowych",[534],"2017-06-01",{"title":1551,"authors":1552,"date":1553,"kind":68,"additional_data":62},"Feature Selection for Failure Detection",[785],"2017-05-25",{"title":1555,"authors":1556,"date":1558,"kind":68,"additional_data":62},"A recipe for simple effective models",[1557],"Michael Abbott (WFAIS)","2017-05-18",{"title":1560,"authors":1561,"date":1563,"kind":68,"additional_data":62},"Automatyczne rozpoznawanie utworów muzycznych z wykorzystaniem audio fingerprintingu",[1562],"Mateusz Kubica","2017-05-11",{"title":1565,"authors":1566,"date":1567,"kind":68,"additional_data":62},"Independent Component Analysis #2",[156],"2017-05-04",{"title":1569,"authors":1570,"date":1572,"kind":68,"additional_data":62},"A survey on Membrane Computing: Theory, Applications and Tools",[1571],"Luis Valencia-Cabrera","2017-04-27",{"title":1574,"authors":1575,"date":1577,"kind":68,"additional_data":62},"Znajdowanie najbliższej macierzy o określonych własnościach (matrix nearest problems)",[1576],"Michał Wojtylak","2017-04-20",{"title":1579,"authors":1580,"date":1581,"kind":68,"additional_data":62},"DBSCAN, HDBSCAN i algorytmy pokrewne",[436],"2017-04-13",{"title":1583,"authors":1584,"date":1585,"kind":68,"additional_data":62},"GPCR Benchmarking",[1049],"2017-04-06",{"title":1587,"authors":1588,"date":1590,"kind":68,"additional_data":62},"Machine learning for display advertising",[1589],"Grzegorz Harańczyk (Criteo)","2017-03-30",{"title":1592,"authors":1593,"date":1595,"kind":68,"additional_data":62},"Spektroskopia oscylacyjna (IR\u002FRS) i komplementarne techniki w obrazowaniu biomarkerów zmian chorobowych",[1594],"Katarzyna Marzec (JCET)","2017-03-23",{"title":1597,"authors":1598,"date":1599,"kind":68,"additional_data":62},"Independent Component Analysis",[156],"2017-03-16",{"title":1601,"authors":1602,"date":1603,"kind":68,"additional_data":62},"Szybka parametryczna estymacja gęstości",[1411],"2017-03-09",{"title":1605,"authors":1606,"date":1603,"kind":68,"additional_data":62},"Deep Learning (nie) działa, czyli o tym jak uczą się sieci DL",[765],{"title":1608,"authors":1609,"date":1611,"kind":68,"additional_data":62},"Spectral Clustering #2 (at 1 PM)",[1610],"Sławomir T. Wierzchoń","2017-03-02",{"title":1613,"authors":1614,"date":1615,"kind":68,"additional_data":62},"Spectral Clustering #1 (at 3 PM)",[1610],"2017-03-01",{"title":1617,"authors":1618,"date":1620,"kind":68,"additional_data":62},"Psychiatria, a badania naukowe",[1619],"Wojciech Datka Rafał Jaeschke","2017-02-23",{"title":1622,"authors":1623,"date":1624,"kind":68,"additional_data":62},"Introduction to Reinforcement Learning",[1425],"2017-01-26",{"title":1626,"authors":1627,"date":1629,"kind":68,"additional_data":62},"Rekonstrukcja obrazu w tomografie J-PET",[1628],"Piotr Białas (WFAIS UJ)","2017-01-19",{"title":512,"authors":1631,"date":1633,"kind":68,"additional_data":62},[1632],"Jose Quesada","2017-01-12",{"title":1635,"authors":1636,"date":1637,"kind":68,"additional_data":62},"Outlier Detection Review",[326],"2016-12-15",{"title":1639,"authors":1640,"date":1641,"kind":68,"additional_data":62},"Logistic Regression with Pairwise Constraints",[1466],"2016-12-08",{"title":1643,"authors":1644,"date":1645,"kind":68,"additional_data":62},"Introduction to Batch Normalization",[1049],"2016-12-01",{"title":1647,"authors":1648,"date":1650,"kind":68,"additional_data":62},"Extreme Learning Machines",[1649],"Agnieszka Słowik","2016-11-24",{"title":1652,"authors":1653,"date":1654,"kind":68,"additional_data":62},"Semi-Supervised Clustering",[219],"2016-11-17",{"title":1656,"authors":1657,"date":1660,"kind":68,"additional_data":62},"Uczenie z nadzorem jako metoda generowania strategii agentów na przykładzie adaptacyjnego zarządzania usługami w mobilnej chmurze obliczeniowej",[1658,1659],"Bartłomiej Śnieżyński","Piotr Nawrocki (Katedra Informatyki AGH)","2016-11-10",{"title":1662,"authors":1663,"date":1664,"kind":68,"additional_data":62},"Stare i nowe techniki używane w kompresji danych",[1411],"2016-11-03",{"title":1666,"authors":1667,"date":1668,"kind":68,"additional_data":62},"Introduction to Time Series \\#2",[321,1049],"2016-10-27",{"title":1670,"authors":1671,"date":1672,"kind":68,"additional_data":62},"Introduction to Time Series \\#1",[321,1049],"2016-10-20",{"title":1674,"authors":1675,"date":1677,"kind":68,"additional_data":62},"Machine Learning w przewidywaniu awarii",[1676],"Mateusz Marzec - Reliability Solutions","2016-10-13",{"title":1679,"authors":1680,"date":1683,"kind":68,"additional_data":62},"NLP methods in virtual screening & Neural Prediction Models for Land Conflict Prevention",[1681,1682],"Szymon Nakoneczny","Konrad Talik","2016-06-16",{"title":1685,"authors":1686,"date":1688,"kind":68,"additional_data":62},"User2vec: user modeling using LSTM networks",[1687],"Konrad Żołna (Instytut Matematyki UJ)","2016-06-09",{"title":1690,"authors":1691,"date":1693,"kind":68,"additional_data":62},"Obrazowanie hiperspektralne i analiza wielowymiarowa w badaniu dzieł sztuki",[1692],"Agata Mendys","2016-06-02",{"title":1695,"authors":1696,"date":1697,"kind":68,"additional_data":62},"Active Learning",[445],"2016-05-19",{"title":1699,"authors":1700,"date":1701,"kind":68,"additional_data":62},"dr.GMUM - towards standarizing our work",[1049,765],"2016-05-12",{"title":1703,"authors":1704,"date":1707,"kind":68,"additional_data":62},"How to handle missing data in classification using SVM?",[1705,1706,156],"Lukasz Struski","Maciej Smieja","2016-04-28",{"title":1709,"authors":1710,"date":1712,"kind":68,"additional_data":62},"Virtual Reality in surgery",[1711],"Przemyslaw Korzeniowski (Imperial College of London)","2016-04-21",{"title":1714,"authors":1715,"date":1716,"kind":68,"additional_data":62},"Bayesian optimization of hyperparameters via Gaussian Processes",[765],"2016-04-14",{"title":1718,"authors":1719,"date":1720,"kind":68,"additional_data":62},"New coding possibilities with asymmetric sender-receiver knowledge",[1411],"2016-04-07",{"title":1722,"authors":1723,"date":1725,"kind":68,"additional_data":62},"SVM with additional neutral class",[1724,156],"Marek Smieja","2016-03-31",{"title":1727,"authors":1728,"date":1729,"kind":68,"additional_data":62},"Past, present and future of DNA sequencing, alignment and compression",[1411],"2016-03-10",{"title":1597,"authors":1731,"date":1732,"kind":68,"additional_data":62},[326],"2016-03-03",{"title":1734,"authors":1735,"date":1737,"kind":68,"additional_data":62},"Wprowadzenie do teorii macierzy przypadkowych.",[1736],"Piotr Warchoł [WFAIS]","2016-02-04",{"title":1739,"authors":1740,"date":1742,"kind":68,"additional_data":62},"Komputerowo wspomagane projektowanie leków. Metody i wyzwania.",[1741],"Krzysztof Rataj [Instytut Farmakologii PAN]","2016-01-28",{"title":1744,"authors":1745,"date":1746,"kind":68,"additional_data":62},"Entropijne klastrowanie rzadkich binarnych danych wysokowymiarowych",[219],"2016-01-21",{"title":1748,"authors":1749,"date":1751,"kind":68,"additional_data":62},"Metrologia współrzędnościowa w badaniach materiałów biologicznych - problemy wybrane",[1750],"Artur Wójcik [UR]","2016-01-14",{"title":1753,"authors":1754,"date":1755,"kind":68,"additional_data":62},"Semi-Supervised Representation Learning",[765],"2016-01-07",{"title":1757,"authors":1758,"date":1760,"kind":68,"additional_data":62},"Classification of extremely imbalanced, binary datasets - case study in cheminformatics",[1759],"Wojciech Czarnecki","2015-12-17",{"title":1762,"authors":1763,"date":1765,"kind":68,"additional_data":62},"Nowe podejście do klasyfikacji oparte o algorytm działów wodnych",[1764],"Mateusz Baran [IT PK]","2015-12-10",{"title":1767,"authors":1768,"date":1770,"kind":68,"additional_data":62},"Biometryczny system identyfikacji człowieka na podstawie cech siatkówki oka",[1769],"Michał Drobniak","2015-11-26",{"title":1772,"authors":1773,"date":1770,"kind":68,"additional_data":62},"A Kaggle competition on brain EEG",[1774],"Romuald Janik [FAIS UJ]",{"title":1776,"authors":1777,"date":1779,"kind":68,"additional_data":62},"Modele z dużą liczbą zmiennych jakościowych",[1778],"Piotr Kościelniak [IM UJ]","2015-11-19",{"title":1781,"authors":1782,"date":1784,"kind":68,"additional_data":62},"Potencjalne aplikacje systemów AI w Neuroobrazowaniu",[1783],"Bartłomiej Kroczek ○ Michał Ociepka","2015-11-12",{"title":1786,"authors":1787,"date":1788,"kind":68,"additional_data":62},"Deep convolutional filter banks for texture recognition and segmentation",[1514],"2015-11-05",{"title":1790,"authors":1791,"date":1793,"kind":68,"additional_data":62},"Neurosolver - 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